CSE

Program Educational Objectives (PEO): Within 3-5 years of graduation, the graduates of CSE will be able to:

PEO-1: Think Critically: Use problem-solving, decision-making and research skills to identify and solve complex problems needed to pursue a diverse range of professions.

PEO-2: Implementation Efficiency: Develop and implement efficient, sustainable, scalable, manageable, and future-proof solutions to problems through continuous learning.

PEO-3: Society, Ethics and Team Player: ethically manage independent or team work considering the societal, health and safety, and environmental impact.

PEO-4: Communication: Graduates will be able to disseminate information clearly and precisely to a broad range of audiences.

Mapping between Mission and PEOs:

Missions	PEO-1	PEO-2	PEO-3	PEO-4
Mission 1:	√	√
Mission 2:	√	√
Mission 3:	√	√	√
Mission 4:			√	√
Mission 5:	√	√	√	√
Mission 6:	√	√	√	√
Mission 7:	√	√	√	√

PROGRAM OUTCOMES (POs):

The BS-CSE has twelve program outcomes adopted from the preferred outcomes of both Computing Accreditation Commission (CAC) and Engineering Accreditation Commission (ECA) of ABET. The students who complete the BSc-CSE program will have:

PO1: Engineering knowledge: Apply knowledge of mathematics, natural science, engineering fundamentals and an engineering specialization as specified in K1 to K4 respectively to the solution of complex engineering problems.

PO2: Problem analysis: Identify, formulate, research literature and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. (K1 to K4)

PO3: Design/development of solutions: Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations. (K5)

PO4: Conduct investigations of complex problems: Conduct investigations of complex problems using research-based knowledge (K8) and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.

PO5: Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering problems, with an understanding of the limitations. (K6)

PO6: The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solutions to complex engineering problems. (K7)

PO7: Environment and sustainability: Understand and evaluate the sustainability and impact of professional engineering work in the solution of complex engineering problems in societal and environmental contexts. (K7)

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice. (K7)

PO9: Individual work and teamwork: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11: Project management and finance: Demonstrate knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PEO and PO Mapping:

PO No.	PO Statement	PEO-1	PEO-2	PEO-3	PEO-4
PO No.	PO Statement	Thinking Critically	Implement Efficiently	Society, Ethics, and Team Player	Communication
PO1	Engineering Knowledge	√
PO2	Problem Analysis	√
PO3	Design/ Development of Solutions		√	√	√
PO4	Conduct investigations of complex problems	√
PO5	Modern Tool Usage		√	√
PO6	The Engineer and Society			√
PO7	Environment and Sustainability		√	√
PO8	Ethics			√
PO9	Individual and Team Work			√	√
PO10	Communication			√	√
PO11	Project Management and Finance		√
PO12	Life-long Learning		√

Knowledge Profile

The knowledge profile should have eight attributes (K1 to K8), indicating the volume of learning and attributes against which graduates must be able to perform.

K1: A systematic, theory-based understanding of the natural sciences applicable to the discipline
K2: Conceptually-based mathematics, numerical analysis, statistics and formal aspects of computer and information science to support analysis and modelling applicable to the discipline
K3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline
K4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
K5: Knowledge that supports engineering design in a practice area
K6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline
K7: Comprehension of the role of engineering in society and identified issues in engineering practice in the discipline: ethics and the professional responsibility of an engineer to public safety; the impacts of engineering activity: economic, social, cultural, environmental and sustainability
K8: Engagement with selected knowledge in the research literature of the discipline

A program that builds this type of knowledge and develops the attributes listed above is typically achieved in 4 to 5 years of study, depending on the level of students at entry.

Complex Engineering Problems

Complex engineering problems are those that include a wide range of or conflicting technical, engineering, and other challenges, have no clear solution, and necessitate analytical thinking and originality in analysis to design effective models. The ability to solve complicated problems in engineering is vital in the engineering curriculum. The list of complex engineering problems (P1 to P7) clarifies the concept of Complex Engineering Problem by establishing seven problem-solving ranges or features.

P1- (Depth of knowledge required) Cannot be resolved without in-depth engineering knowledge at the level of one or more of K3, K4, K5, K6 or K8 which allows a fundamentals-based, first principles analytical approach.
P2- (Range of conflicting requirements) Involve wide-ranging or conflicting technical, engineering and other issues.
P3- (Depth of analysis required) Have no obvious solution and require abstract thinking, originality in analysis to formulate suitable models.
P4- (Familiarity of issues) Involve infrequently encountered issues
P5- (Extent of applicable codes) Are outside problems encompassed by standards and codes of practice for professional engineering.
P6- (Extent of stakeholder involvement and conflicting requirements) Involve diverse groups of stakeholders with widely varying needs.
P7- (Interdependence) Are high level problems including many component parts or sub-problems.

Complex Engineering Activities

There are five attributes of activities students can be involved in when solving Complex Engineering Problem. A Complex Engineering Activity or Project is that which has some or all of the following attributes:

A1- (Range of resources) Involve the use of diverse resources (and for this purpose resources include people, money, equipment, materials, information and technologies).
A2- (Level of interaction) Require resolution of significant problems arising from interactions between wide-ranging or conflicting technical, engineering or other issues.
A3- (Innovation) Involve creative use of engineering principles and research-based knowledge in novel ways.
A4- (Consequences for society and the environment) Have significant consequences in a range of contexts, characterized by difficulty of prediction and mitigation.
A5- (Familiarity) Can extend beyond previous experiences by applying principles-based approaches

Bloom's Taxonomy

Level	Cognitive (C)	Affective (A)	Psychomotor (P)
1	Remember	Receive	Imitation
2	Understand	Respond	Manipulation
3	Apply	Value	Precision
4	Analyze	Organization	Articulation
5	Evaluate	Characterization	Naturalization
6	Create	-	-

Course List (Group Wise)

Language and General Education Courses

Language and Generals Education Courses (22 credit) Compulsory (13)

SL.	Course Code	Course Title	Credit Hour
1	ENG 1101	General English	3
2	BAN 1101	Functional Bengali Language (প্রায়োগিক বাংলা ভাষা)	2
3	ENG 1102	Communicative English	1.5
4	ENG 4104	Technical Writing and Presentation	1.5
5	SSC 1101	Bangladesh Studies	2
6	HUM 3101	Society, Engineering Ethics, and Environmental Protection	3

GED Optional (Any three, 9 credits)

SL.	Course Code	Course Title	Credit Hour
1	ECO 1101	Engineering Economics	3
2	SOC 1109	Sociology for Science and Technology	3
3	ACC 1501	Financial and Managerial Accounting	3
4	MGT 3301	Project Management and Entrepreneurship	3
5	MGT 4562	Operational Management	3
6	BUS 2413	Business Communication	3
7	HUM 1101	History of the Emergence of Bangladesh	3

Basic Science and Mathematics Courses (20.25 credits) Compulsory (17.25 credits))

SL.	Course Code	Course Title	Credit Hour
1	PHY 1103	Introduction to Classical & Modern Physics	3
2	PHY 1104	Physics Laboratory	1.5
3	ACC 1501	Basic Science Option I	3
4	MAT 1203	Differential and Integral Calculus	3
5	MAT 1205	Coordinate Geometry & Vector Analysis	3
6	MAT 2304	Numerical Methods	1.5
7	MAT 2207	Matrix, Linear Algebra, Differential Equation	3
8	STA 2107	Statistics and Probability	3

Basic Science Optional (Any one, 3 credits)

SL.	Course Code	Course Title	Credit Hour
1	BIO 2101	Biology for Engineers.	3
2	CHE 1101	Chemistry	3
3	EEE 2211	Semiconductor Physics & Device	3

Other Engineering Courses ( 17.25 credits)

SL.	Course Code	Course Title	Credit Hour
1	ME 1104	Mechanical Engineering Drawing	0.75
2	EEE 1101	Introduction to Electrical Engineering	3
3	EEE 1102	Introduction to Electrical Engineering Laboratory	1.5
4	EEE 1201	Electronics Device and circuits	3
5	EEE 1202	Electronics Device and circuits Laboratory	1.5
6	EEE 4427	Data Communication	3

Core Courses (62.75 credits)

SL.	Course Code	Course Title	Credit Hour
1	CSE 1113	Programming Fundamentals	3
2	CSE 1114	Programming Fundamentals Laboratory	1.5
3	CSE 1115	Object Oriented Programming	3
4	CSE 1116	Object Oriented Programming Laboratory	1.5
5	CSE 1110	Competitive programming	0.75
6	EEE 2201	Digital Electronics and Pulse Technique	3
7	EEE 2202	Digital Electronics and Pulse Technique	1.5
8	CSE 3815	Microprocessors and Microcontroller	3
9	CSE 3816	Microcontroller Laboratory	1.5
10	CSE 3737	Computer Organization & Architecture	3
11	CSE 1411	Discrete Mathematics and Number theory	3
12	CSE 1413	Data Structures	3
13	CSE 1414	Data Structures Laboratory	1.5
14	CSE 2415	Algorithms	3
15	CSE 2416	Algorithms Laboratory	1.5
16	CSE 2221	Database Management Systems	3
17	CSE 2222	Database Management Systems Laboratory	1.5
18	CSE 3211	Information System Design	3
19	CSE 3233	Software Engineering	3
20	CSE 3234	Software Engineering Lab	0.75
21	CSE 2210	Mobile application development	1.5
22	CSE 3210	Internet programming	1.5
23	CSE 1111	Computer Fundamental and Ethics	1.5
24	CSE 3733	Operating Systems	3
25	CSE 3734	Operating Systems Laboratory	0.75
26	CSE 3567	Computer Networks	3
27	CSE 3568	Computer Networks Laboratory	1.5
28	CSE 3317	Artificial Intelligence	3
29	CSE 3318	Artificial Intelligence Laboratory	1.5
30	CSE 3637	Computer and Cyber Security	3
31	CSE 3409	Theory of Computation	2

Capstone Courses (6.75 credits)

SL.	Course Code	Course Title	Credit Hour
1	CSE 3000	Software Development Project	2
2	CSE 4000	Final year Design Project	4
3	CSE 4001	Industrial Attachment/Internship/Professional training	0.75

Elective Courses: Software Engineering

SL.	Course Code	Course Title	Credit Hour
1	CSE 4293	Software Testing and Quality Assurance	3
2	CSE 4294	Software Testing and Quality Assurance Laboratory	1.5
3	CSE 4283	Game Design and Development	3
4	CSE 4284	Game Design and Development Laboratory	1.5
5	CSE 4215	Object Oriented Design	3
6	CSE 4216	Object Oriented Design Laboratory	1.5
7	CSE 4223	Advanced Database System	3
8	CSE 4224	Advanced Database System Laboratory	1.5
9	CSE 4251	Human Computer Interaction	3
10	CSE 4291	Software Architecture	3
11	CSE 4297	Software Requirement Specifications & Analysis	3

Data Science

SL.	Course Code	Course Title	Credit Hour
1	CSE 4311	Machine Learning	3
2	CSE 4312	Machine Learning Laboratory	1.5
3	CSE 4371	Digital Image Processing	3
4	CSE 4372	Digital Image Processing Laboratory	1.5
5	CSE 4345	Big Data Analytics	3
6	CSE 4346	Big Data Analytics Laboratory	1.5
7	CSE 4791	Digital Signal Processing	3
8	CSE 4792	Digital Signal Processing Lab	1.5
9	CSE 4367	Internet of Things	3
10	CSE 4368	Internet of Things Laboratory	1.5
12	CSE 4333	Data Mining	3
13	CSE 4321	Introduction to Bioinformatics	3
14	CSE 4373	Artificial Neural Networks and Fuzzy Systems	3

Computing Theory

SL.	Course Code	Course Title	Credit Hour
1	CSE 4483	Distributed Systems and Algorithms	3
2	CSE 4484	Distributed Systems and Algorithms Laboratory	1.5
3	CSE 4411	Compiler Design	3
4	CSE 4412	Compiler Design lab	1.5
5	CSE 4473	Computer Graphics	3
6	CSE 4474	Computer Graphics lab	1.5
7	CSE 4491	Combinatorial Optimization	3
8	CSE 4413	Computational Geometry	3
9	CSE 4401	Computer Arithmetic	3
10	CSE 4463	Graph Theory	3

Communication and Networking

SL.	Course Code	Course Title	Credit Hour
1	CSE 4511	Communication Engineering	3
2	CSE 4512	Communication Engineering Laboratory	1.5
3	CSE 4523	Cloud Computing	3
4	CSE 4524	Cloud Computing Laboratory	1.5
5	CSE 4591	Network Security	3
6	CSE 4592	Network Security Laboratory	1.5
7	CSE 4517	Wireless Communication	3
8	CSE 4367	Internet of Things	3
9	CSE 4573	Green Computing	3
10	CSE 4595	Web Application Security	3

Hardware Engineering

SL.	Course Code	Course Title	Credit Hour
1	CSE 4825	Digital System Design	3
2	CSE 4826	Digital System Design Laboratory	1.5
3	CSE 4833	Introduction to Robotics Engineering	3
4	CSE 4834	Introduction to Robotics Engineering Laboratory	1.5
5	CSE 4816	Computer Interfacing	3
6	CSE 4817	Computer Interfacing Laboratory	1.5
7	CSE 4818	Embedded System Design	3
8	CSE 4819	Embedded System Design Laboratory	1.5
9	CSE 4844	Control Systems	3
10	CSE 4845	Control Systems Laboratory	1.5
11	CSE 4367	Internet of Things	3
12	CSE 4791	Digital Signal Processing	3
13	CSE 4311	Machine Learning	3
14	CSE 4573	Green Computing	3

Information and Communication Technology

SL.	Course Code	Course Title	Credit Hour
1	CSE 4735	Visualizing Complex Information	3
2	CSE 4236	Visualizing Complex Information Laboratory	1.5
3	CSE 4253	UI: Concepts and Design	3
4	CSE 4254	UI: Concepts and Design Laboratory	1.5
5	CSE 4573	Green Computing	3
6	CSE 4574	Green Computing Lab	1.5
7	CSE 4743	Multimedia Technology	3
8	CSE 4744	Multimedia Technology Laboratory	1.5
9	CSE 4295	Enterprise Systems: Concepts and Practice	3
10	CSE 4199	Electronic Business	3
11	CSE 4299	IT Audit: Concepts and Practice	3
12	CSE 4593	Web Application Security	3

Systems

SL.	Course Code	Course Title	Credit Hour
1	CSE 4523	Cloud Computing	3
2	CS 4524	Cloud Computing Laboratory	1.5
3	CSE 4731	Simulation and Modelling	3
4	CSE 4732	Simulation and Modelling Laboratory	1.5
5	CSE 4483	Distributed Systems and Algorithms	3
6	CSE 4484	Distributed Systems and Algorithms Laboratory	1.5
7	CSE 4133	Computer Graphics	3
8	CSE 4134	Computer Graphics lab	1.5
9	CSE 4367	Internet of Things	3
10	CSE 4743	Multimedia Technology	3
11	CSE 4371	Digital Image Processing	3
12	CSE 4573	Green Computing	3

Course List (Semester Wise)

Year/Level/Semester/Term wise distribution of courses

First Year /Semester 1
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
CSE 1111	Computer Fundamentals and Ethics		3	1.50
CSE 1113	Programming Fundamentals	3		3.00
CSE 1114	Programming Fundamentals Laboratory		3	1.50
EEE 1101	Introduction to Electrical Engineering	3		3.00
EEE 1102	Introduction to Electrical Engineering Laboratory		3	1.50
ME 1104	Mechanical Engineering Drawing		1.5	0.75
MAT 1203	Differential and Integral Calculus	3		3.00
ENG 1101	General English	3		3.00
BAN 1101	Functional Bengali Language (প্রায়োগিক বাংলা ভাষা)	2		2.00
Total		14	10.5	19.25

First Year /Semester 2
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
CSE 1413	Data Structures	3		3.00
CSE 1414	Data Structures Laboratory		3	1.50
EEE 1201	Electronics Devices and Circuits	3		3.00
EEE 1202	Electronics Device and Circuits Laboratory		3	1.50
CSE 1411	Discrete Mathematics and Number Theory	3		3.00
	GED Option I	3		3.00
CSE 1110	Competitive Programming Laboratory		1.5	0.75
PHY 1103	Introduction to Classical & Modern Physics	3		3.00
PHY 1104	Physics Laboratory		1.5	0.75
Total		15	9	19.50

GED Option: Any three from the following courses

ECO 1101	Engineering Economics	3.00
SOC 1109	Sociology for Science and Technology	3.00
ACC 1501	Financial and Managerial Accounting	3.00
MGT 3301	Project Management and Entrepreneurship	3.00
MGT 4562	Operational Management	3.00
BUS 2413	Business Communication	3.00
HUM 1101	History of the Emergence of Bangladesh	3.00

Second Year /Semester 1
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
EEE 2201	Digital Electronics and Pulse Technique	3		3.00
EEE 2202	Digital Electronics and Pulse Technique Laboratory		3	1.50
CSE 1115	Object Oriented Programming	3		3.00
CSE 1116	Object Oriented Programming Laboratory		3	1.50
MAT 1205	Coordinate Geometry & Vector Analysis	3		3.00
SSC 1101	Bangladesh Studies	2		2.00
CSE 3210	Internet Programming		3	1.50
ENG 1102	Communicative English		3	1.50
MAT 2304	Numerical Methods		3	1.50
Total		11	15	18.50

Second Year /Semester 2
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
CSE 2415	Algorithms	3		3.00
CSE 2416	Algorithms Laboratory		3	1.50
MAT 2207	Matrix, Linear Algebra, Differential Equation	3		3.00
	Basic Science Option I	3		3.00
CSE 2221	Database Management Systems	3		3.00
CSE 2222	Database Management Systems Laboratory		3	1.50
CSE 3815	Microprocessors & Microcontrollers	3		3.00
CSE 3816	Microcontrollers Laboratory		3	1.50

Total

15

9

19.50

Elective Basic Science & Mathematics Courses (One course)

Course Code	Course Title	Credit Hour
BIO 2101	Biology for Engineers	3
CHE 1101	Chemistry	3
EEE 2221	Semiconductor Physics & Device	3

Third Year /Semester 1
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
CSE 3211	Information System Design	3		3.00
CSE 3567	Computer Networks	3		3.00
CSE 3568	Computer Networks Laboratory		3	1.50
CSE 2210	Mobile Application Development		3	1.50
CSE 3733	Operating Systems	3		3.00
CSE 3734	Operating Systems Laboratory		1.5	0.75
CSE 3737	Computer Organization & Architecture	3		3.00
STA 2107	Statistics and Probability	3		3.00
Total		15	7.5	18.75

Third Year /Semester 2
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
CSE 3000	Software Development Project		4	2.00
CSE 3233	Software Engineering	3		3.00
CSE 3234	Software Engineering Laboratory		1.5	0.75
CSE 3317	Artificial Intelligence	3		3.00
CSE 3318	Artificial Intelligence Laboratory		3	1.50
CSE 4637	Computer and Cyber Security	3		3.00
EEE 4427	Data Communication	3		3.00
	GED Option II	3		3.00
Total		15	8.5	19.25

Fourth Year /Semester 1
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
CSE 4000A	Final Year Design Project		2	1.00
CSE XXXX	Elective: Major I	3		3.00
CSE XXXX	Elective: Major I Laboratory		3	1.50
CSE XXXX	Elective: Major II	3		3.00
CSE XXXX	Elective: Major II Laboratory		3	1.50
CSE 3409	Theory of Computation	2		2.00
ENG 4104	Technical Writing and Presentation		3	1.50
HUM 3101	Society, Engineering Ethics and Environmental Protection	3		3.00
CSE XXXX	Elective: Minor I	3		3.00
CSE XXXX	Elective: Minor I Laboratory		3	1.50
Total		14	14	21.00

Fourth Year /Semester 2
Course Code	Course Title	Theory Hrs/Week	Sessional Hrs/week	Credit
CSE 4000B	Final Year Design Project		6	3.00
CSE 4001	Industrial Attachment / Internship / Professional Training		1.5	0.75
CSE XXXX	Elective: Major III	3		3.00
	GED Option III	3		3.00
CSE XXXX	Elective: Minor II	3		3.00
CSE XXXX	Elective: Minor II Laboratory		3	1.50
Total		9	10.5	14.25

Course Content

Language and Generals Education Courses (22 credit).

Course Title: General English
Course Code: ENG 1101
Course Type: Language & General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

The aim of this course is to enhance the students’ basic understanding of English language.

Course Objectives:

The objectives of this course are-

To develop student’s grammatical
To improve the ability to recognize and fashion rhetorical and linguistic discourse and the manipulation of sound reasoning.
To grow competence in textual

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Identify common mistakes in English grammar.
CLO2	Write short & effective notes in English.
CLO3	Develop English vocabulary.
CLO4	Develop reading & writing skills.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content (Summary)	CLOs
1.	English phonetics: The places and manners of articulation of the English sounds; Vocabulary; English grammar: construction of sentences, some grammatical problems; Comprehension; Paragraph writing; Précis writing; Amplification; Short stories written by some well-known classic writers.	CLO1
2.	Grammar:	CLO1
	Tense, article, preposition, subject-verb agreement, clause, Main Verbs, Modals and Modal-related patterns, Causatives, Conditionals, Subjunctives, Infinitives, Have + Participle, Auxiliary Verbs, Pronouns, Relative Pronouns, Nouns and Adjectives, Nouns functioning as Adjectives and other Parts of Speech, Determiners, Comparatives, Prepositions and prepositional idioms, Point of View, Agreement of verbs, Introductory verbal Modifiers.
3.	Vocabulary building: Correct and precise diction, affixes, level of appropriateness. Colloquial and standard, informal and formal. Word Choice – Vocabulary – Antonym, Synonym, Homonym, Homograph, Homophone, Wh. Questions, Punctuations: Full stop, comma, colon, semicolon, apostrophe, capital letter, hyphen, quotation marks, titles etc.	CLO3
4.	Developing reading skill: Strategies of reading – skimming, scanning, predicting, inferring; analysing and interpreting variety of texts; practicing comprehension from literary and non-literary texts.	CLO4
5.	Developing writing skill: Sentences and Clauses, sentence variety, generating sentences; clarity and correctness of sentences, linking sentences to form paragraphs, writing paragraphs, essays, and reports.	CLO4 CLO1 CLO2

Textbooks, References & Other Resources:

Raymond Murphy, English Grammar in Use, Cambridge University Press,
J. Glover, Build Up Your English, Dent, 1952.
G. Alexander, Fluency in English, Pearson English Language Teaching, 1967.
Frank Candlin, General English for Technical Students, Hodder & Stoughton, 1964.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Mathematical Problem solving · Group Discussion · Student Presentation	Class Test, Final Exam, Midterm, Final Exam, Assignment, Final Exam, Class Test, Final Exam
CLO2
CLO3
CLO4

Course Title: Functional Bengali Language (প্রায়োগিক বাংলা ভাষা)

Course Code: BAN 1101

Course Type: Language & General Education

Credits: 02

Status: Theory

Pre-requisite: None

Rationale:

এই কোর্সে শিক্ষার্থীরা বাংলা ভাষার উৎপত্তি হতে বিবর্তণ ও বাংলা ভাষা প্রায়োগিক ক্ষেত্রে ব্যবহার সম্পর্কে শিখবে।

Objectives:

The objectives of this course are-

শিক্ষার্থীদের বাংলা ভাষার বিকাশ , উৎপত্তি ও বিবর্তন সম্পর্কে জানতে সাহায্য করবে।
শুদ্ধ ভাষায় বাংলা বলতে ও লিখতে সাহায্য করবে।
একজন শিক্ষার্থীকে প্রকৌশলী হিসেবে বাংলা ভাষার ব্যবহার করতে সাহায্য করবে।

Course Learning Outcomes (CLOs):

এই কোর্সটি সফলভাবে শেষ করলে শিক্ষার্থীরা

CLO1	বাংলা ভাষার উৎপত্তি, বিকাশ ও বিবর্তন সম্পর্কে জানতে পাড়বে।
CLO2	বাংলার বানানরীতি সম্পর্কে শিখবে।
CLO3	বাংলা ভাষায় শুদ্ধ ভাবে বলতে ও লিখতে পারবে।
CLO4	প্রকৌশল পেশায় বাংলা ভাষার ব্যবহার করতে পারবে।

Mapping of Course Learning Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content (Summary)	CLOs
১.	বাংলা ভাষার বিবর্তন – বাংলা ভাষার উৎস, সাধু ও চলিত বাংলা, সাধু ভাষার বিবর্তন ।	CLO1
২.	আধুনিক বাংলা – আধুনিক বাংলার উৎস ও প্রয়োজনীতা, মিশ্র বাংলার প্রকৃতি, গঠন ও ব্যবহার, আধুনিক বাংলার প্রচার ও প্রসার।	CLO2
৩.	বাংলা ভাষার লিখন দক্ষতা: (১) বাংলা ধ্বনিতত্ত্ব (ধ্বনি, বর্ণ, ধ্বনি পরিবর্তন, যুক্তবর্ণ), (২) বাংলা বানান: বাংলা একাডেমির বাংলা বানানের নিয়ম, শব্দের অপপ্রয়োগ, শব্দের বানান ও অশুদ্ধি, (৩) বাক্যের শুদ্ধি-অশুদ্ধি: বাক্যের গঠনগত শুদ্ধি-অশুদ্ধি, বিরাম চিহ্ন, (৪) বাংলা লিখন কৌশল: রেজুলেশন লিখন, অনুষ্ঠান সঞ্চালন পাণ্ডলিপি প্রস্তুত, বিজ্ঞাপন লিখন, প্রুফ সংশোধন।	CLO3
৪.	বাংলা ভাষার কথন-দক্ষতা: (১) বাংলা উচ্চারণের নিয়ম: স্বরবর্ণ ও ব্যাঞ্জনবর্ণের উচ্চারণের স্থান, উচ্চারণরীতি, (২) বাংলা উচ্চারণ-সূত্র ও তার প্রয়োগ।	CLO3
৫.	প্রকৌশল পেশায় বাংলা: চিঠি আদান-প্রদান, প্রস্তাবনা ও গবেষণাপত্র প্রণয়ন, নিয়োগবিধির ও দাপ্তরিক নীতিমালা গঠন, পরিবেশ ও আইনগত বিষয়ে জ্ঞানভাষা, প্রযুক্তি শেয়ারিং-এ কথ্য ও সাধু ভাষার পার্থক্য ও সমন্বয়।	CLO3 CLO4

Textbooks, References & Other Resources:

১. মনীন্দ্রকুমার ঘোষ, বাংলা বানান, দে’জ পাবলিশিং|

২. বাংলা বানানের নিয়ম, বাংলা একাডেমী|

৩. জামিল চৌধুরী, বাংলা বানান অভিধান, বাংলা একাডেমী|

৪. হায়াত মাহমুদ, বাংলা লেখার নিয়ম কানুন, প্রতীক প্রকাশনা সংস্থা|

৫. মোঃ ফিরোজ মিয়া, চাকরির বিঁধানবলী, রোদ্দুর প্রকাশনী|

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	Interactive Lecture Mathematical Problem solving Group Discussion Student Presentation	Class Test, Final Exam, Midterm, Final Exam, Midterm Final Exam, Assignment, Final Exam
CLO2
CLO3
CLO4

Course Title: Communicative English
Course Code: ENG 1102
Course Type: Language & General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

To help to improve spoken English skills and to enable to communicate more effectively in English.

Course Objectives:

The objectives of this course are to:

Enable the students to develop interpersonal skills to communicate effectively in different
Allow students to listen to standard conversations, lectures, and discussions and answer relevant
Strengthen students' written and verbal presentation skills to prepare them to narrate various types of observations;

Course Learning Outcome (CLOs):

After successful completion of this course, students will be able to:

CLO1	Ask for information in English in any familiar or unknown situations.
CLO2	Describe tangible and intangible objects in English to known or unknown person.
CLO3	Answer quiz type questions after listening to lectures, basic instructions, audiotapes, or conversations conveyed in English.
CLO4	Present both in written and oral form any opinions, experiences, stories, arguments, book/movie summary, charters, etc.

Mapping of Course Learning Outcomes to Program Learning Outcomes:

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL No.	Course Content	CLOs
1	Speaking: Orientation, Introducing self and family, Making requests and Seeking Permission, Getting to Know in Small Talks, Different Expressions, Expressing Personal opinion, Asking for Direction, Asking questions, Telephone Conversation, Describing People and Things, Asking for Information, Food and restaurants, Sentence Completion, Describing Picture, Describing Consequences, Interview, Shopping Role Play, Travel and Tourism, Story Telling, etc	CLO1, CLO2
2	Listening: The Listening Comprehension section tests students’ ability to listen to basic instructions, lectures, and conversations. Students will hear the recording of various types and will respond with a gap fill, completing a sentence and multiple-choice worksheet. The audiotapes are given mostly from IELTS practice tests.	CLO3
3	Presentation skills: Reading Newspapers and presenting their opinions, Practicing storytelling, Narrating personal experiences, Introducing presentation skills, Summarizing movies/books, and describing various aspects or parts of these (character description, conflict of the movie, resolution of the book). Debate and put forward an argument, Selected stories for presentation.	CLO4

Textbooks, References & Other Resources:

C. Woolard, Grammar with Laughter, Language Teaching Publication, 1999.
Raymond and Murphy, English Grammar in USE, Cambridge University Press, UK,
Nick Hall and John Shepheard, The Anti-Grammar Grammar Book, Longman,
Jonathan, English Pronunciation in Use, New Delhi: CUP, 2020.
Lynch. Study Listening. New Delhi. CUP, 2020.
Kenneth, Lynch & J. M. Lean. Study Speaking. New Delhi: CUP, 2020.
Jones. English Pronouncing Dictionary (Latest edition). New Delhi: CUP, 2020.
Jones, , Functions of English, Melbourne, Australia: Cambridge University Press, 1981.
Dixon, J., Complete course in English. (Book 4). New Delhi, India: Prentice Hall of India, 1987.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	Lecture, Video Presentation, interactive discussion, Pair work.	Group discussion, Speaking test, storytelling,
CLO2	Lecture, Video Presentation, interactive discussion, Pair work.	Group discussion, Speaking test, storytelling,
CLO3	Lecture, video presentation, audiotapes.	Quiz, Viva
CLO4	Lecture, Audio Presentation, selected stories	Debate, Viva, Presentation

Course Title: Technical Writing and Presentation
Course Code: ENG 4104
Course Type: Language & General Language	Credits: 02
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to develop the skill to write official documentation and research/technical paper.

Course Objectives:

The objectives of this course are-

To help students to develop professional writing
To help students develop skills in research paper writing.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Write technical report.
CLO2	Write a research paper.
CLO3	Write official documentation.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL No.	Course Content	CLOs
1.	Beginning to write: Making sensible sentences. Joining and expanding sentences, contracting sentences, Logical development of sentences in context using an idea, Clear and effective communication of information.	CLO1
2.	Introduction to technical writing: Definition and purpose of technical writing, Audience Recognition and Involvement.	CLO1
3.	Technical paper writing steps: Abstract, Introduction, Literature review, methodology, results and discussion, conclusion.	CLO1
4.	Writing a technical paper/research paper Emphasis on style (especially IEEE format), content, language, form, vocabulary, uses of passive, clarity, consistency, Developing essays and paragraphs on technical issues. Editing compositions for clarity and effectiveness. Thesis writing steps.	CLO2
5.	Writing professional correspondence Memos, Letters, E-mails, and other formats, Job-application materials.	CLO3

Textbooks, References & Other Resources:

Kenneth Budinski, Engineer’s Guide to Technical Writing, ASM International, 2001
Sharon J. Gerson, Steven M. Gerson, Technical Writing Process and Product, Prentice Hall, 1999
a. Howard and J.H. Barton, Thinking on Paper, William Marrow Paperbacks, 1988.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Group Discussion · Presentation	Final Test/Presentation, Class performance/VIVA, Final Test
CLO2
CLO3

Course Title: Bangladesh Studies
Course Code: SSC 1101
Course Type: Language and General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course is designed to introduce the students to the socio-economic, political, and cultural history of Bangladesh.

Course Objectives:

The objectives of the course are:

To acquaint the students with the elementary knowledge of Pakistani Colonial rule and the creation of
To assist the students in knowing about the progression of the newly independent and sovereign
To make the students able to know the killing of the Father of the Nation Bangabandhu Sheikh Mujibur Rahman and its consequences.
To present the students with a brief history of the restoration of democracy in 1991 and the democratic
To help the students to know about the multi-dimensional character of Bangladesh and its people.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to-

CLO1	Describe the socio-historical aspects of Bangladesh before 1971.
CLO2	Recognize the growth and development in different sectors in independent Bangladesh.
CLO3	Identify the facts behind the collapse of democracy in a sovereign country.
CLO4	Assess the real picture of the restoration of democracy and the beginning of new development.
CLO5	Evaluate the glorious cultural richness and diversities.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

CLO2

CLO3

CLO4

Course Description:

Sl No.	Course Content (Summary)	CLOs
1.	Pre-Liberation War Period: Neo-Colonial Epoch-Protest against Pakistani Colonialism-6 Points Demands in 1966-Mass Movement of 1969-Election in 1970-Liberation War of 1971.	CLO1
2.	Early Post-War Bangladesh: The Socio-Economic and Cultural Features of Bangladesh-Agricultural Policies and Development of Bangladesh-Private Sector Development in Bangladesh-The Health and Demographic Features of Bangladesh-Geo-Strategic and Economic Importance of the Bay of Bengal and the Hilly Regions.	CLO2
3.	Post 75 Period: The Brutal Killing of the Father of the Nation Bangabandhu Sheikh Mujibur Rahman - Autocratic, Military and Semi-Military Rules-Mass Movement of 1990.	CLO3
4.	Restoration of Democracy and Onwards: The Year 1991 and Aftermath - Rules by Parties especially by Awami League and the Beginning of a New Development Era in Agriculture, Industry and Service Sectors.	CLO4
5.	Bangladesh: Multi-dimensional Aspects: Bangla Literature: Poetry, Novel and Essays (1971-2021)-Education and Enlightenment: National Education Commission (1972)-Qudrat-i-Khuda, Education Commission(1974)- Shamsul Haque, Education Commission (1997)- Kabir Chowdhury, Education Commission (2009)- Ethnicity in Bangladesh.	CLO5

Text Books, Reference Books, and Other Resources:

Sheikh Mujibur Rahman (Author), Fakrul Alam (Tr.) & Sheikh Hasina (Intro) (Author), The Unfinished Memories, Penguin Books.
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Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	Interactive Lectures, Documentary videos	Class test
CLO2	Interactive Lectures, Group discussions	Midterm
CLO3	Interactive Lectures, Group discussions, Student Presentation	Assignment, Group presentation, Midterm, Final Examination
CLO4	Interactive Lectures, Group discussions, Student Presentation	Class test, Term paper, group presentation, Final Examination
CLO5	Interactive Lectures, Reports,	Final Examination

Course Title: Society, Engineering Ethics and Environmental Protection
Course Code: HUM 3101
Course Type: Language & General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course focuses on the emergence of society, changes in society as technology evolves, health, safety, legal, ethical and cultural issues in engineering practice.

Course Objective:

The objectives of this course are

To assess health, safety, legal and cultural issues, and the consequent responsibilities relevant to professional engineering practice.
To understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable

To understand ethical principles, responsibilities, and norms of engineering

Course Learning Outcomes (COs):

Upon successful completion of this course, students will be able to

CLO1	Interpret the emergence of society, cultural changes, and socialization.
CLO2	Interpret the changes in society as technology evolves.
CLO3	Apply ethical principles to assess health, safety, legal and cultural issues in professional engineering practice.
CLO4	Discuss the impact of social and environmental issues needed for sustainable development.

Mapping of Course Outcomes to Program Outcomes-

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PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content	CLOs
1.	Society: The emergence of Sociology as moral lessons for society; organization, and institutions in society, Culture: elements of culture, Cultural and Symbolic Dimensions, socialization, Biodiversity and indigenous knowledge, Genetic Modification, Biopollution and Biosafety and Future of Biodiversity.	CLO1
2.	Technology and society: Technology and the Industrial Revolution, Role of technology in the rationalization of society, Scientific creativity and Intellectual Property Rights. Technology and Gender needs, Technology inputs for women’s enterprise, integrating gender in technological development.	CLO2
3.	Engineering ethics: Understanding ethics, engineering ethics; Moral reasoning and engineering as social experimentation; The engineers’ concern for safety, professional responsibility; Employer authority; Rights of engineers; Global issues; Career choice and professional outlook; Ethical problems are like design problems; Genetically modified objects (GMO)	CLO3
4.	Environment: environment and environmental issues Environmental degradation, waste management and renewable energy; Basic understanding of sustainable development, SDGs, Ethical Resources for Solving Boundary-Crossing Problems, Creative Middle Ways, First Standard: The Golden Rule; Second Standard: Universal Human Rights; Third Standard: Promoting Basic Human Well-Being; Fourth Standard: Codes of Engineering Societies (IEEE, IEB, ABET), Climate change adaptation; Disability and Accessibility.	CLO4

Text Books, Reference Books and Other Resources:

Harris Jr. C.E., Pritchard M.S. and M. J. Rabins, Engineering Ethics: Concepts and Cases, Cengage Learning, 2014.
Whitbeck C, Ethics in Engineering Practice and Research, Cambridge University
N. Tanjina Hasnat, Md. Alamgir Kabir, and Md. Akhter Hossain, Major Environmental Issues and Problems of South Asia, Particularly Bangladesh, Handbook of Environmental Materials Management, 2018.
Merton, Robert, On Social Structure and Science, Chicago: Chicago University Press, 1975

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

g>CLOs	Teaching-Learning Strategy	Assessment Strategy
g>CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing diagrams, charts, tables, etc. · Tutorials, E-Learning · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill-in- the-blanks, Label, Match, True/False, Quizzes, Summary, Diagrams, Presentation, Short Answers, One-minute paper, Problem- solving tasks, Case studies, Analysis report, Review report
g>CLO2
g>CLO3
g>CLO4

Course Title: Engineering Economics
Course Code: ECO 1101
Course Type: Language & General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to make the students oriented with fundamental economic concepts.

Course Objectives:

The objectives of this course are-

To demonstrate the basic concepts of demand, supply, elasticity, cost, production, and market
To help students understand the basics of macroeconomic phenomena as well as fiscal and monetary policies.

Course Learning Outcomes (CLOs):

After completion of the course, students will be able to:

CLO1	Understand the basic concepts of economics
CLO2	Apply methods of economic analysis (such as supply and demand equilibrium, optimization) to consumer behavior and social phenomena.
CLO3	Understand the concepts of cost and production and their importance in engineering.
CLO4	Apply the concepts of price and output decisions to firms under various market structures in an engineering perspective.
CLO5	Identify relevant factual information for analyzing practical macroeconomic issues (inflation, unemployment, recession, etc.) and understand the measures of national income, aggregate demand and supply models, and the role of monetary and fiscal policy.

Mapping of Course Outcomes to Program Outcomes:

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL No.	Course Content (Summary)	CLOs
1.	The Economic Problem Definition of Economics, Economics and engineering, importance of economics in engineering, Want and Scarcity, opportunity cost, production possibility curve (PPC). Economic System: Central economic problems; Economic systems.	CLO 1
2.	Demand, Supply and Equilibrium: Demand; Determinants; Law of demand; Supply; Determinants; Law of Supply; Equilibrium; Mathematical problems. Elasticity: Elasticity of Demand, Types of elasticity; Measurement; Elasticity of supply; importance and applications. Consumer behavior and market demand: Utility, Classification of utility; Cardinal Vs. Ordinal utility; Law of diminishing marginal utility; Indifference curve and its characteristics; Marginal rate of substitution (MRS); Budget Line; Consumer equilibrium. Optimization: Free optimization; Constrained optimization.
3.	Production and Costs Theory: The production function; Production with one variable input – total, average marginal product, Law of variable proportion, Iso-quants, returns to scale; Cobb Douglas production function; technical efficiency, Cost function; Short run and long run costs; Average cost (AC) and marginal cost (MC); engineering cost and estimating.	CLO 3
4.	The perfectly competitive market and its characteristics: Properties; Conditions of profit maximization; Short run equilibriums; Short run industry supply curve; Long run equilibrium. Imperfectly competitive markets: Properties, Total revenue (TR), Average (AR) and Marginal revenue (MR) Curves; Short run equilibriums; Monopolist’s supply curve; Long run equilibrium; Features of monopolistic competitive and oligopoly; Cartels in oligopoly, Game theory.	CLO 4
5.	Key macroeconomics phenomena: Meaning of national income; Circular flow of income; Concepts of national income: GNP, NNP, NNPFC, Personal income and disposable income; Measurement of national income; Employment and unemployment; inflation; Phillips curve; Stagflation; Growth; Multiplier; Consumption; Investment. Aggregate Demand and Aggregate Supply Model: Aggregate Demand curve; Short-run aggregate supply curve; Long-run aggregate supply curve; Macroeconomic equilibrium: AS-AD model.	CLO5
6.	Monetary and Fiscal policy: Goals; Instruments; Effectiveness of monetary and fiscal policies.	CLO 5

Textbooks, References & Other Resources:

Dominik Salvatore, Schaum’s Outline of Microeconomic Theory, McGraw-Hill,
L. Ahuja, Modern Economics, S Chand & Co Ltd, 2016.
Ahuja L, Macroeconomics, S chand & Company, 2016.
Koutsoyiannis, Modern Microeconomics, Palgrave, 1979.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Mathematical Problem solving · Group Discussion · Student Presentation	Class Test, Final Exam, Midterm, Assignment
CLO2
CLO3
CLO4
CLO5

Course Title: Sociology for Science and Technology Course Code: SOC 1109

Course Type: Language & General Education Credits: 03

Status: Theory Pre-requisite: None

Rationale:

The course introduces students to the main currents of thought which have been influential in sociology of science and technology through both historical and contemporary studies.

Course Objective:

The objective of the course is to enable the students to

Undertake a detailed examination of the sociological contribution to the analysis of science and
Examine the complex relationship between science and society and also takes a sociological look at the process by which knowledge is constructed.
understand science and technology as social institutions and systems of knowledge

Course Learning Outcomes (CLOs):

After completion of the course, students will be able to:

CLO1	Identify the sociological perspective in study of science and technology and social dimension of production of scientific knowledge.
CLO2	Describe how science and technology work as a social processes e.g. the way technical knowledge is produced by communities, and the way this knowledge in turn can reshape social structures and processes
CLO3	Express the strengths and weaknesses of a range of sociological approaches to the analysis of science and technology.
CLO4	Identify the links between sociological analyses of science and technology and broader debates in science policy, history of science and philosophy of science.

Mapping of Course Outcomes to Program Outcomes:

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL No.	Course Content	CLOs
1.	Understanding Sociology of Science: Sociological Construction of Science and Technology Change and Development, Building Society and Technology.	CLO1
2.	Theories of Technology and Social Change: Technological Determination, Social Constructivism, Institutionalism, Feminist Critiques Science,	CLO2,
3.	Technology and Culture: Evolution of science and technology in culture, Cultural studies of Western science, Paradigmatic Thought in Eurocentric Science.	CLO2
4.	Science, Technology and Knowledge: Evolutionary Approach of Science and technology, Knowledge for Development and change.	CLO2, CLO3
5.	Science, Technology, Society and Property Rights: Science, Creativity, and Intellectual Property Rights.	CLO3
6.	Computer technology and Society: Community, Democracy, and the Nation-State in Cyberspaces.	CLO4
7.	Recent trends in Sociology of Science: Science and technology in developing and developed, countries, Bangladesh in context, information technology, and globalization, Manuel Castell’s network society, internet, and social inequality	CL04

Textbooks, References & Other Resources:

Merton, RK (1973), 'The Normative Structure of Science', in The Sociology of Science (Chicago: University of Chicago Press),
Mannheim, (1936), 'The Sociology of Knowledge', in Ideology & Utopia (New York & London: Harvest/HBJ Books).
Evans, (2010), 'Industry, collaboration, scientific sharing, and the dissemination of knowledge'. Social Studies of Science 40 (5),

Course Title: Financial and Managerial Accounting
Course Code: ACC 1501
Course Type: Language & General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

The aim of this course is to help students to get basic knowledge of accounting to enhance the financial managerial capability of engineers.

Course Objectives:

The objectives of this course are-

To provide the knowledge of accounting information.
To accumulate basic ideas of journal, ledger, balance sheet & final
To help students conceptualize basic theories on the preparation of financial
To facilitate with the basic knowledge of cost
To provide the knowledge of partnership account for a business organization.
To acquaint students with the knowledge of liabilities and contingencies regarding business

Course Learning Outcomes (CLOs):

After successful completion of this course, students will be able to

CLO1	Define the principles and concepts of accounting (Financial & Managerial accounting).
CLO2	Categorize accounts, debits, and credits to record business transactions.
CLO3	Construct a financial statement according to the accounting standard for profit or loss calculations of different organizations.
CLO4	Identify the costs (i.e., cost behavior and cost classification) associated with the product line.
CLO5	Apply the tools for profit analysis and profit planning to solve the internal problems of business entities.
CLO6	Identify the situation when and how current liabilities and contingencies should be recorded.

Mapping of Course Outcomes to Program Outcomes:

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

CLO6

√

Course Description:

SL No.	Course Content	CLOs
1.	Accounting in Action Definition of Accounting, Its role and Functions, History of Accounting, Purpose and Nature of Accounting Information, Users of Accounting Information, Branches of Accounting, Accounting as a language of business, GAAP, Assumptions.	CLO1
2.	The Recording Process & Completion of the Accounting Cycle Double-Entry Accounting System, Accounting Equation, Recording of Transactions: Journalize, Posting to the Ledger, Preparation of Trial Balance, Limitations of Trial Balance, Preparation of work Sheet, Adjusting Entries, Preparing Closing Entries, Preparing a Post-Closing Trial Balance, Summary of the Accounting Cycle, Rectification error, capital & revenue expenditure, Provision for bad & doubtful account, Cash book and other books, Bank Reconciliation statement, Acquisition & Disposition of Property, Plant & Equipment, Intangible assets, Different Depreciation method and their implementation.	CLO2, CLO3
3.	Accounting for Merchandising Operations Inventory Systems, Merchandising Activities, Components of financial statements, Contents of income statements, Forms of Income Statements- Multiple-Step Income Statement; Single-Step Income Statement. Balance Sheet, Interpretation of financial statement.	CLO3
4.	Accounting for Partnership Partnership Accounts, Admission and retirement of Partners, Dissolution of partnership.	CLO2, CLO5
5.	Managerial Accounting Managerial accounting basics, Managerial costs concepts, Cost Behavior analysis, CVP analysis, Master Budget, Managerial decision-making Process	CLO4, CLO5
6.	Accounting for Current Liabilities and Contingencies Notes payable, sales tax payable, unearned revenue, current maturities of long-term debt, statement presentation, recording and disclosure of contingent liabilities	CLO6

Textbooks, References & Other Resources:

Jerry Weygandt, Paul D. Kimmel, and Donald E. Kieso, Accounting Principles. Wiley, 2002.
Ray Garrison, Eric Noreen, and Peter Brewer, Managerial Accounting, McGraw- Hill/Irwin,
Robert Meigs and Walter B. Meigs, Financial accounting. McGraw-Hill College, 1991.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture	Class Test, Midterm, Assignment,
CLO1	· Mathematical Problem solving	Final Exam
CLO2	· Mathematical Problem solving	Final Exam
	· Group Discussion
	· Student Presentation
CLO3	· Student Presentation
CLO4
CLO5
CLO6

Course Title: Project Management and Entrepreneurship
Course Code: MGT 3301
Course Type: Language and General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to develop the basic skill for engineering project management and develop a guideline for students to become an entrepreneur.

Course Objective:

The objectives of the course are-

To facilitate students to build foundation of the management of an engineering
To help students to analyze the risk of a
To make students understand the basic role of a project manager.
To help students to understand the basic needs for being an

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Build a project plan for an engineering project.
CLO2	Assess the risk of a project.
CLO3	Understands the role of a project manager.
CLO4	Know the basic framework of entrepreneurship.
CLO5	Learn the process of idea generation and fundraising

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL No.	Couse Content (Summary)	CLOs
1.	Introduction to Project Management Definition of project & project management, history of project management, Importance of project management, the triple constraint, project phases. Project Model Project phases, PROPS, milestone, tollgate, phases of PROPS, wenell’s project model, PPS- practical project management, Project Plan-phases of project plan.	CLO1
2.	Project Economy Importance, Project manager and economy, project budgeting, logarithmic time planning, project follow up, management and control, earned value management, outcome, retrospective analysis, Project Manager (PM) Decision level, Roles of project sponsor, project manager, sub project manager, steering committee, reference group; definition of PM, different kind of PM, factors influence PM, project manager vs line manager, project work vs line work, characteristics of successful PM, tools for PM, what is leadership, roles of leadership, Situational leadership, traditional leadership, transformational leadership. Group dynamics.	CLO3
3.	Risk Management Definition of risk, uncertainty, changes, deviation, importance of risk management, importance of risk analysis, mini risk method, the Lichtenberg method, risk with risk management, Software project, IT project.	CLO2
4.	Entrepreneurship Definition of an Entrepreneur, Myths & facts, common personality traits, age and entrepreneurship, entrepreneurial mindset, the business life cycle, pre-launch, startup, growth, maturity and potential decline; types of income, process of opportunity recognition. Lifestyle Entrepreneurs: side business, startup founders, social entrepreneurs; Core concept and Framework: service vs product business; business model: old business model, new business model, scalability.	CLO4
5.	Fundraising Types of options, Bootstrapping, FFF (friends, family & fools), Angels, Equity and debt, Loans, Venture Capital, Incubators, Introduction to idea generation Scratchpad, idea lister builder, the idea equation, areas to isolate and target, 5 types of innovation, recap of idea dynamics, making it fit, the fit quadrant: skills & experience, hobbies, passions, skills and experience, fit to the 3 business types, The eureka myth. Problem based business idea, Imagine the future, reverse imagination, the fit generator, cater to power user, reposition good/fast/cheap.	CLO5
6.	Validation of an Idea definition of validation, surveys, talking to experts, lean startup framework, pitch experiments, MVP (minimum value product) business model example saas (software as a service), subscription and membership, PWYW (pay what you want), the sharing economy, the marketplaces, on demand, curated box, DTC (direct to consumer), crowdsourced catalog and inventory, Evaluation and testing matching fit, sustainability, path to validation	CLO5

Textbooks, References & Other Resources:

HBR guide to Project
Google Project Management
PMP Project Management Materials
HBR Entrepreneur's

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Mathematical Problem solving · Group Discussion · Student Presentation	Class Test, Final Exam, Midterm, Final Exam, Midterm, Final Exam, Assignment, Final Exam, Class Test, Final Exam
CLO2
CLO3
CLO4
CLO5

Course Title: Operational Management Course Code: MGT 4562

Course Type: Language and General Education Credits: 03

Status: Theory Pre-requisite: None

Course Rationale:

This course aims at introducing the students to the fundamentals of operations management and its practices. It will help the students to understand the concepts, functions and techniques of operations management and their applications in both profit and non-profit oriented organizations.

Course Objectives:

The objectives of this course are to:

help the students to understand the concepts, principles, problems and practices of operations
acquaint students with the process of developing an operations strategy to achieve competitive
provide an understanding regarding the methods applied to develop location strategies and review the importance of developing layout strategy.
facilitate necessary knowledge about the importance of productivity and competitiveness to both organizational and national level.
accumulate basic ideas of quality management practice in
enable students to apply different inventory control techniques used by organizations in real word.

Course Learning Outcomes (CLOs):

After successful completion of this course students will be able to:

Explain the necessary concepts, principles, problems, challenges, prospects and practicesof operations management.

CLO1
CLO2	Identify the factors to be considered in determining the location decision by using quantitative tools.
CLO3	Design a plant layout by solving simple line balancing problems.
CLO4	Examine effective material handling system to gain competitive advantage.
CLO5	Apply different inventory management tools for managing the inventory effectively & efficiently.
CLO6	Analyze the importance of total quality control, productivity, production planning & control at the organizational level.
CLO7	Develop job structure and product design in accordance with their upcoming necessity.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

CLO6

√

CLO7

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction: Meaning of operations and operations management, Difference between manufacturing & service operations, Types of operations, The operations functions, Responsibilities of operations manager, Scope of operations management, Challenges of Operations management, 5P’s of OM, Operations management in an e-business environment the impact of E-business on operations management.	CLO1
2.	Facility Location: Meaning, Importance of location decisions, Dominant factors affecting location of manufacturing and service organizations, Methods of selecting the best location- factor rating method, Break - Even Point Analysis, Center of Gravity Method, Problems.	CLO2
3.	Plant Layout: Meaning, Needs, objectives, how should layout reflect competitive priorities, Types of Layout-advantages and disadvantages, Difference between product and process layout, Factors to be considered in facility layout. Features of a good layout, Designing product layout-line balancing, Problem	CLO3
4.	Material Handling: Meaning, Purposes, Elements of MH, Principles of MH system, how to design effective material handling system, Choice of good material handling equipment.	CLO4
5.	Operations Strategy: Meaning of strategy and strategy formulation, Competitive Priorities, Strategic decisions in operations, Model of strategy, Issues and trend in operations.	CLO4,
6.	Inventory Management: Meaning of inventory and inventory management, Types of inventories, Purposes, functions, Costs associated with inventory, Inventory control, Objectives of inventory control, Techniques of inventory control, ABC analysis, Economic order quantity, Pressures for high inventory, Pressures for low inventory, Problems.	CLO5
7.	Production Planning and Control: Meaning, Objectives, Functions of production planning & control, Production Control Procedure, Difference between production planning and production control, Aggregate Production planning, Characteristics of APP, Aggregate Planner’s main objectives, Master Production Schedule, Functions of MPS, Material Requirement Planning, Purposes of MRP, Benefits of MRP, Problems.	CLO6
8.	Productivity: Meaning, Importance, Factors affecting productivity, Techniques for improvement of productivity, Measurement of productivity, Benchmarking-meaning, types, process. Problems.	CLO6
9.	Quality Management: Meaning, Dimension of quality, QC and objectives, Types of QC, The Costs of quality, Techniques, ISO 9000 series-objectives, process followed for getting ISO 9000 certificate, benefits of ISO 9000 & ISO 14000, Total quality Management, TQM Approaches, Elements of TQM, Problems.	CLO6
10.	Job Design and Product Design: JD-meaning, importance, approaches, PD-meaning, importance, process of PD and service design, features of well design, service system, eight themes of service design.	CLO7

Text Books, Reference Books and Other Resources:

Russell, R. &W. Taylor, W. B., Operations Management, Prentice -Hall, 2003.
Stevenson, J, Operations Management, McGrew-Hill Education, 2002.
Schroeder, , Goldstein, S., and Rungtusanatham, M. J.,Operations Management: Contemporary Concepts and Cases, McGraw-Hill Education, 2010.
Chase, B., Jacobs, F. R., and Aquilano, N. J.,Operations Management for Competitive Advantage ,USA: McGraw Hill Higher Education, 2006.
Lee, K., Larry, P. R., and Manoj, K. M., Operations Managemen: Processes & Value Chains (8th ed.). New Jersey, USA: Prentice Hall, 2006.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	Lecture	Class test
CLO2	Interactive lecture, Directed Instruction	Quiz, Class Test
CLO3	Interactive lecture, Problem based learning.	Mid Term, Assignment
CLO4	Interactive lecture	Quiz
CLO4	Interactive lecture	Mid Term
CLO5	Interactive lecture, Problem based learning.	Final Exam,
CLO6	Interactive lecture, Directed Instruction	Final Exam
CLO6	Interactive lecture, Directed Instruction	Final Exam
CLO6	Interactive Lecture Problem based learning	Final exam,

Course Title: Business Communication Course Code: BUS 2413

Course Type: Language and General Education

Credits: 03

Status: Theory

Pre-requisite: None

Course Rationale:

This course is designed to help students master

the

fundamentals of professional

communication and prepare them for the broader expectations they will encounter in today’s workplace.

Course Objectives:

The objectives of this course are to:

prepare students for the communication challenges that they will have to face in their professional
provide students with a detailed knowledge of business communication and report
help students deliver oral presentation both in a formal and informal environment.
make students confident and skilled in communication relative to securing

Course Learning Outcomes (CLO):

After successful completion of this course, the students will be able to:

CLO1	Interpret the foundations of business communication and communicate more effectively in an organizational setting.
CLO2	Plan, write, and complete effective business messages adapting to different audiences, circumstances, and media.
CLO3	Compose letters, memos, e-mails, reports and proposals.
CLO4	Design and deliver business presentations.
CLO5	Compose résumés and application letters, and prepare for interviews.

Mapping of Course Outcomes to Program Outcomes:

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL No.	Course Content	CLOs
1.	Professional Communication in a Digital, Social, Mobile World Importance of communication, communicating as a professional, Benefits of effective communication, Forms of communication in an organizational context, Communication process, Barriers in the communication environment, Adapting to other business cultures and improving intercultural communication skills	CLO1
2.	Channel and Medium The Mobile Revolution, Use of technology to improve business communication, Writing messages for mobile devices, Writing strategies for social media, Social networks, Verbal/Non-verbal communication, Improving non-verbal communication skills, Listening types and skill, listening process, improving listening skills.	CLO1
3.	Fundamentals of Business Writing Purpose and scope of business messages, determining and analyzing the audience; collecting data; organizing materials; elements of style- space, margin, typefaces, typestyle	CLO1 , CLO2
4.	Selection and Application of Words Using short and familiar words, active/passive voice, functional and concrete words, nondiscriminatory language, eliminating cluttering phrases, camouflaged verbs, redundant words and circumlocutory expressions; avoiding jargons, obsolete stereotypes, clichés and biased language; using the You-attitude, emphasizing the positive, and maintaining politeness and credibility; and developing business vocabulary	CLO2
5.	Construction of Clear Sentences and Paragraphs Care in sentence design, Limiting sentence content, Economizing on words, Managing emphasis in sentence design, Giving sentences unity, Care in paragraph design, giving paragraphs unity, Keeping paragraphs short, Making good use of topic sentence, Making paragraphs coherent.	CLO2
6.	Writing Brief Business Messages: Structure and Layout of Letter, Memo, E-mail, elements of structure, forms of layout, styles of presentation	CLO2
7.	Writing Routine and Positive Messages Asking for information and actions, Answering requests for information and action, Order placement, Making claims and requesting adjustments, Granting claims and requests for adjustment, Announcing good news, Fostering goodwill, Quotation, Tenders, Request for credit, bank loan and overdraft	CLO2 , CLO3
8.	Writing Negative Messages Making negative announcements on routine business matters, Refusing claims and requests for adjustment	CLO2 , CLO3
9.	Writing Persuasive Messages Writing marketing and sales messages, Writing promotional messages for social media/mobile apps.	CLO2 , CLO3
10.	Writing Business Reports Definition, essential characteristics of a good business report, importance and types of business reports; structure of reports- front matters, main body, and back matters; preparatory steps to writing reports	CLO3
11.	Developing and Delivering Business Presentations Preparation and delivery methods, incorporating technology in presentation	CLO4
12.	Writing Employment Messages Writing résumé, application letters; Preparing for a job interview, Writing joining letter.	CLO5

Text Books, Reference Books and Other Resources:

Kathryn Rentz and Paula Lentz, Lesikar’s Business Communication, McGraw-Hill Education,
Courtland Bovée, and John Thill, Business Communication Today, Pearson,
Awal, A and Taher, A. (2018). Business Communication and Report Writing (4^th edition)

Mapping Course Learning Outcomes (CLOs) with Teaching-Learning and Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	Interactive Lecture	Quiz
CLO1	Interactive Lecture, Directed Discussion	Quiz
CLO1, CLO2	Interactive Lecture	Class Test
CLO2	Interactive Lecture	Class Test
CLO2	Interactive Lecture,	Mid Term Exam
CLO2	Interactive Lecture, Directed Instruction	Quiz, Mid Term Exam
CLO2, CLO3	Directed Instruction, Case Based Learning	Final Exam
CLO2, CLO3	Directed Instruction, Case Based Learning	Final Exam
CLO2, CLO3	Directed Instruction, Case Based Learning	Assignment
CLO3	Interactive Lecture, Directed Instruction	Final Exam
CLO4	Interactive Lecture, Directed Instruction	Presentation
CLO5	Interactive Lecture, Directed Instruction	Final Exam

Course Title: History of the Emergence of Bangladesh Course Code: HUM 1101

Course Type: Language and General Education	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course is designed to acquaint the students with the rich history of the emergence of Bangladesh.

Course Objectives:

The Objectives of the course are:

To provide a strong conceptual idea about the history of Bangladesh and to facilitate the students to obtain knowledge on how the Bengali nationality has emerged.
To acquaint the students with the British rule over Bengal and the subcontinent for 190
To make the students able to know the history of the partition of Bengal and its
To demonstrate how the then East Pakistan (Bangladesh) was culturally, economically, and politically exploited and the development of a new Bengali nationalism as well as the Muslim middle class in the 1950’s and 1960’s.
To make the students apprehend the Language movement in 1952 and its
To acquaint with the role of Bangabandhu Sheikh Mujibur Rahman: Six-Point demand by Bangabandhu Sheikh Mujibur Rahman resulting in student movement for independence, post-independence political and economic rebuilding of Bangladesh.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1	Assess the conceptual and structural development of the history of Bangladesh and thereby evaluate the emergence of Bengali nationality.
CLO2	Describe the 190 years of British rule and interpret the impact of this colonialization.
CLO3	Interpret why and how the partition of Bengal occurred and discuss its repercussion.
CLO4	Cognize the various types of exploitation of the then East Pakistan (Bangladesh) by the Pakistani rulers and the emergence of new social classes and new Bengali nationalism.
CLO5	Ingrain capacity to conduct research on the commencement of the Language movement in 1952 and its significance.
CLO6	Analyze and apply the thinking on Bangabandhu’s Six Point demand resulting in the independence movement and post-independence political and economic rebuilding of Bangladesh by Bangabandhu.

Course Description:

SL No.	Course Content	CLOs
1.	Pre-Colonial Bengal: The Emergence of Bengali Language and Literature-Village Communities in Ancient and Medieval Bengal-Efflorescence of Industry and Commerce in Pre-Colonial Bengal.	CLO1
2.	The Impact of British Colonial Rule: Permanent Settlement Act, English Education, Rise of New Social Classes- Bengali Renaissance in the Nineteenth Century.	CLO2
3.	The Congress and The Muslim League-Emergence of India and Pakistan- The Impact of Pakistan Colonial Rule on East Pakistan (Bangladesh).	CLO3
4.	Independence Movement of Bangladesh: Inequality in the development of Pakistan State Structure Economic Exploitation of East Pakistan since Pakistan’s Inception.	CLO4
5.	Independence Movement of Bangladesh (continued): Language Movement and the Emergence of Bengali Nationalism. Bangabandhu’s Six-Point demands as a Response to Pakistani’s Exploitation of East Pakistan – 1969’s Mass Uprising and 11-point demands - Election in 1970: Bangabandhu’s 7-March Speech and Declaration of Independence - Independence Struggle of 1971.	CLO5
6.	Constituting the Sovereignty of Bangladesh: Introduction of the Bangladesh Constitution by Bangabandhu in the Constituent Assembly on November 04, 1972, explaining the Principles and the Four Pillars of Constitution - Post Independence Bangladesh and Socio- Economic Reconstruction-Measures adopted by Bangabandhu to rebuild the War-Ravaged Bangladesh.	CLO6

Text Books, Reference Books and Other Resources:

১. অনুপি কসন, বাাংলায়েি : রাষ্ট্র ও সিাজ, অবসর প্রকািনী।

২. িুনর্াসীর িািুন এবাং কিা িাহবুবুর রহিান, স্বাধীন বাাংলায়েয়ির অভু যেয়ыর ইগর্হাস, সুবর্ত প্রকািনী।

৩. িনসুর িুসা, বাাংলায়েি, আিািী প্রকািনী

Banglapedia: National Encyclopedia of Bangladesh, Asiatic Society of Bangladesh.

Mapping Course Learning Outcomes (CLOs) with Teaching-Learning and Assessment Strategy

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	Interactive Lectures, Group discussions	Class test, Midterm
CLO2	Interactive Lectures, Documentary videos, Group discussion	Assignment, Class test, Midterm
CLO3	Interactive Lectures, Group discussions	Class test, Final examination
CLO4	Interactive Lectures, Documentary videos, Group discussion	Assignment, Group presentation, Final Examination
CLO5	Interactive Lectures, Group discussion	Assignment, Group presentation, Final Examination
CLO6	Interactive Lectures,	Final Examination

Basic Science and Mathematics Courses (20.25 credits).

Course Title: Introduction to Classical and Modern Physics
Course Code: PHY 1103
Course Type: Basic Science	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to provide necessary knowledge about classical & modern physics in the context of computer engineering.

Course Objectives:

The objectives of this course are-

To facilitate students with the knowledge of classical
To help students understand the basics of modern physics.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Realize the diverse application of the wave equation.
CLO2	Explain the basics of acoustics
CLO3	Develop an understanding of the principle of optics.
CLO4	Recognize the application of modern physics and quantum mechanics in the context of Computer science & engineering.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content (Summary):	CLOs
1.	Simple harmonic oscillators Wave and composition of simple harmonic motion, simple harmonic motion, average value of kinetic and potential energies of a harmonic oscillation, superposition of simple harmonic motions, uses of Lissajous figures. Damped and forced harmonic oscillator: Damped oscillatory system, damped harmonic oscillation, the LCR circuit, forced vibration, quality factor of forced oscillator, sharpness of resonance, phase of driven oscillator, power absorption.	CLO1
2.	Wave Motion Review of Types of waves, progressive and stationary wave, Energy distribution due to progressive and stationary wave, interference of sound wave. Sound Wave: Audible, ultrasonic, infrasonic and supersonic waves, Doppler’s effects and its application, applications of ultrasonic sound.	CLO1
3.	Acoustics Intensity of sound, Bel, sound pressure level, phonon, acoustic intensity, architectural acoustics, Diffraction of sound, Musical sound, and noises, Speech, Characteristics of musical Sound. Building Acoustic Reverberation, Sabine’s reverberation formula, growth intensity, decay intensity, reverberation time and absorption co-efficient, requisites for good acoustic.	CLO2
4.	Physical Optics Principle of superposition of waves, Interference of light. Theory of interference, Young's double slit experiment, Fresnel Bi-prism, Newton’s rings and its spectra. Diffraction of light Fresnel and Fraunhofer diffraction, Fraunhofer diffraction by single slit, and double slit and plane diffraction grating. Polarization Production and analysis of polarized light, Brewster's law, Polarization by double refraction, Nicol prism and its uses, Polaroid, Optical activity, polarimeters.	CLO3
5.	Modern Physics: Photoelectric effect, quantum theory of light, X-rays and X- ray diffraction, Compton effect; de Broglie waves, phase velocity and group velocity, particle diffraction.	CLO4
6.	Formal Theory of Quantum Mechanics: Concept of operators, Kets, Bras; Harmonic oscillator, Matrix Formulation; Hilbert Space; Measurements, Observables, and the Uncertainty Relations; Position, Momentum, and Translation; particle in one-dimensional systems - infinite quantum well, potential step and potential barrier; quantum box. Time Evolution and the Schrödinger Equation; The Schrödinger Picture, Heisenberg Picture and Interaction Picture; Operator theory of Simple Harmonic Oscillation.	CLO4

Textbooks, References & Other Resources:

Halliday & Resnick, Physics
Halliday & Resnick, Physics
Brijlal, Waves &
Arthur Beiser, Modern
L.Thereja, Modern physics.
Leonard Schiff, Quantum Mechanics.
L. Gupta, V. Kumar, H. V. Sharma, Quantum Mechanics.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations Case Studies	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, One-minute paper, Problem-solving tasks, Case studies,
CLO2
CLO3

Course Title: Physics Laboratory
Course Code: PHY 1104
Course Type: Basic Science	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to build foundation skills of using modern engineering physics techniques, tools and laboratory instrumentation to solve engineering problems.

Course Objectives:

The objectives of this course are-

To introduce students with safety regulations of physics
To facilitate students with foundation skills of using physics laboratory
To demonstrate the ability to present the results of investigations orally and in

Course Learning Outcomes (CLOs):

After successful completion of this course, students will be able to

CLO1

Calculate values of different physical parameters by conducting various

experiments as an individual or as a team member.

CLO2

Complete the result from experimental data.

CLO3

Write comprehensive reports on the work done in laboratory in a group and orally

present the findings.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL No.	Course Content	CLOs
1.	Laboratory work based on theory course Introduction of classical physics.	CLO1, CLO2, CLO3
2.	Lab Report Writing: Objective, Introduction, Problem Statement, Algorithm/Methodology, Sample Input/Output, Results and Discussion.	CLO2
3.	Oral Presentation on Mini Project Work (Design Project/Analytical Project/ Experimental Project/Industrial Tour)	CLO3

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions	Written Tests/Quizzes, Final
CLO2	· Lectures/Instructions	Written Tests/Quizzes, Final
CLO2	· Follow Lab Manuals · Hands-on Experiments · Assignments	Performance Tests, Class Performance, Final Viva/Oral Exam, Lab Reports
CLO3
	· Report Writing
	· Group Work: Assignments

Course Name: Biology for Engineers
Course Code: BIO 2101
Course Type: Basic Science	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course is aimed to introduce students with different biological signals and their measurement systems.

Course objectives:

The objectives of this course are:

To acquaint students with the fundamentals of human anatomy and physiology as appropriate to an engineer.
To familiarise students with the physiological measurement principles &
To familiarise students with the application and operation of medical imaging

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO 1	Learn Human Anatomy & Physiology as appropriate to an engineer.
CLO 2	Know the relation between human Physiology & Medical Diagnosis.
CLO 3	Analyse specific types of biological signal.

CLO 4

Understand the principles of Physiological measurements and medical imaging

systems.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content (as Summary)	CLOs
1.	Human Biology Chemical basis of life, Brief introduction to Human anatomy and physiology, Introduction to Biomechanics, Force, Moments and Couples system; Musculo-Skeletal systems, Structures: Methods of Joints;	CLO1
2.	Biosensors Sensors for monitoring patients, Non-invasive biosensors for measuring metabolism and biophysical transport.	CLO2
3.	Origin and major types of biological signals Human body: cells and physiological systems, bioelectric potential, transducers, bio-potential electrodes and amplifiers, blood pressure, electrocardiogram, electromyogram, electroencephalogram, phonocardiogram.	CLO3
4.	Introduction to bio–Medical Imaging X-ray, CT scan, MRI & Ultrasonogram.	CLO4

Textbooks, References & Other Resources:

Mark Saltzman, Biomedical Engineering –
Joseph Bronzino, Donald R. Peterson, Medical Devices & Human Engineering.
John Semmlow, Signals and Systems for Bioengineers, Second Edition: A MATLAB- Based

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Mathematical Problem solving · Group Discussion · Student Presentation	Class Test, Midterm, Assignment, Final Exam
CLO2
CLO3
CLO4

Course Title: Chemistry
Course Code: CHE 1101
Course Type: Basic Science	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aimed to understand the Chemistry of the materials and the relationship between Electricity and Chemistry.

Course Objectives:

The objectives of this course are-

To help student conceptualized fundamentals of atomic structure &
To help students understand periodic
To familiarize students with basic understating of electrochemistry, battery & fuel

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Explain the structure of an atom.
CLO2	Recognize a material that will be required in electrical and electronics engineering.
CLO3	Recognize the rules & Bonds of electricity with chemistry.
CLO4	Describe how electricity can pass through the solid and solution.
CLO5	Learn about the modern technologies of batteries.
CLO6	Know an elementary idea about fuels.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

CLO6

√

Course Description:

SL No.	Course Content	CLOs
1.	Atomic Structure Rutherford’s atom model and its limitations, Bohr model of atomic structure and its limitations, Sommerfeld’s correction, Quantum numbers, Pauli exclusion principle, Aufbau principle, electronic configuration in an atom, Hunds rule of maximum multiplicity.	CLO1
2.	Periodic Table Description of a modern periodic table, Types of elements in the periodic table and their positions in the periodic table, Periodic properties; atomic and ionic radius, ionization potential, electron affinity, electronegativity.	CLO2
3.	Group Chemistry Chemistry of Group 13, 14 and 15 with special reference to Boron, Aluminum, Silicon, Germanium, Phosphorus, Arsenic and Antimony as their uses in semiconducting materials.	CLO2
4.	Chemical Bonding Octet rule, Ionic bond; formation and properties of ionic compounds, Covalent bond; formation and properties of covalent compounds, Coordinate covalent bond, Metallicbond.	CLO3
5.	Electrochemistry Faraday’s laws of electrolysis, Strong and weak electrolyte, Arrhenius theory of electrolytic dissociation, Transport number, Conductance of solution, Equivalent conductance, Equivalent conductance at infinite dilution, Equivalent conductance and concentration.	CLO4
6.	Batteries Standard electrode potential, Electrolytic cell: reversible and irreversible cell, Weston cell, Primary Batteries: Alkali Battery, Lithium Battery, Secondary or Rechargeable Battery: Lead acid battery, Lithium-ion battery.	CLO5
7.	Fuels Definition of fuel, Essential requirements of fuels, Classification of fuels, primary and secondary fuels– soild, liquid and gaseous fuels, advantages and disadvantages of solid, liquid and gaseous fuels, Definition and types of modern fuels, Source of modern fuels-nuclear, solar, wind and water current, Calorific value of fuels	CLO6

Textbooks, References & Other Resources:

Z. Haider, Modern Inorganic Chemistry, Frieends International, 1994.
Wahid Malik, GD Tuli and RD Madan, Selected topics of Inorganic Chemistry Schand, 2010.
Mahbubul Haque and Mohammad Nawab, Principles of Physical Chemistry, Brother’s Publications, 2009.
Neetu Goel and Sanjay Kumar, Concise Engineering Chemistry, AITBS Publishers,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, One-minute paper, Problem- solving tasks, Case studies,
CLO2
CLO3
CLO4
CLO5
CLO6

Course Name: Semiconductor Physics and Devices
Course Code: EEE 2211
Course Type: Basic Science	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course is aimed to introduce the fundamental theories and applications associated with semiconductor materials and devices.

Course Objectives:

The objectives of this course are:

To help students to develop the fundamentals of physics associated with semiconductor
To facilitate necessary knowledge about the structure and operations of different semiconductor

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Determine the energy band diagrams of different semiconductor devices under different operating conditions.
CLO2	Analyze P-N junctions of semiconductor devices in terms of operational conditions and structural parameters.
CLO3	Analyze Bipolar Junction Transistor in terms of operational conditions and structural parameters.
CLO4	Analyze Field Effect Transistor in terms of operational conditions and structural parameters.

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CO1

√

CO2

√

CO3

√

CO4

√

Mapping of Course Outcomes to Program Outcomes-

Course Description:

SL

No.

Course Content

CLOs

1.

Energy Bands and Charge Carriers in Semiconductors:

Electron and Hole statistics in semiconductors, Charge carrier recombination, Transport properties, Equation of continuity.

CLO1

2.

PN Junctions

Basic structure, equilibrium conditions, contact potential, equilibrium Fermi level, space charge, non-equilibrium condition, forward and reverse bias, carrier injection, minority and majority carrier currents, transient and AC conditions, time variation of stored charge, reverse recovery transient and capacitance.

CLO2

3.

Bipolar Junction Transistor

Basic principle of PNP and NPN transistors, emitter efficiency, base transport factor and current gain, diffusion equation in the base, Ebers-Moll equations and circuit synthesis.

CLO3

4.

Field Effect Junction Transistor

Energy band diagram of metal semiconductor junctions, Rectification at metal- semiconductor Junction, MOS structure, MOS capacitor, energy band diagrams and flat band voltage and control of threshold voltage. Schottky-diffusion theory. Principle of operation of FET, qualitative theory of MOSFET operation, body effect and current– voltage relationship of a MOSFET, Junction field-effect-transistor.

CLO4

Text Books, Reference Books and Other Resources:

Michael Shur, Physics of Semiconductor Devices, Pearson,
M. Sze, Physics of Semiconductor Devices, John Wiley, 1981.
Ben Streetman and Sanjay Banerjee, Solid State Electronic Devices, Pearson,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	PLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	PLO2	Interactive Lecture Mathematical Problem solving	Class Test, Final Exam
CLO2	PLO2	Interactive Lecture Mathematical Problem solving	Midterm, Final Exam
CLO3	PLO2	Interactive Lecture Mathematical Problem solving	Midterm, Final Exam
CLO4	PLO2	Interactive Lecture Mathematical Problem solving Group Discussion	Assignment, Final Exam

Course Title: Differential and Integral Calculus
Course Code: MAT 1203
Course Type: Mathematics	Credits: 03
Status: Theory	Pre-requisite: None

Rationale:

This course aims to build up basics of differential & integral calculus in the context of electrical engineering applications.

Objectives:

The objectives of this course are-

To help students conceptualize basic theories in differential
To develop the problem-solving skills related to changing
To help the students to determine length, area & volumes using

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1

Solve engineering problems using the knowledge of functions & derivatives.

CLO2

Apply the knowledge of Rolle’s theorem, Mean-Value theorem and Leibnitz’s

theorem.

CLO3

Apply integration to determine volumes, areas and averages.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Description:

SL No.	Course Content (Summary)	CLOs
1.	Number System Natural Number, Integer, Rational Number, Irrational Number, Real Number, Even and Odd Number, Prime Number.	CLO1
2.	Function One-to-one, Many-to-one Function, Domain, Range, Inverse Function, Even and Odd Function; Graphs: Algebraic (Quadratic, Cubic) and Transcendental (Trigonometric, Exponential, Logarithmic) Function.	CLO1
3.	Differential Calculus Limits, continuity and differentiability of functions, physical meaning of derivative of a function. Successive differentiation and Leibnitz's theorem, Rolle’s theorem, Mean value theorem, Taylor's theorem in finite and infinite forms, expansion of functions, L’Hospital’s rule, partial differentiation and Euler's theorem, tangent and normal, extreme curve plotting and optimization, Curvature, asymptotes, and curve tracing.	CLO2
4.	Integral Calculus Integration of various types of functions, integration techniques, definite integrals and its properties, Wallis's formulae, Improper Integrals, Beta function and Gamma function, applications of integration, length of a curve, areas of surfaces, volume of solids/hollow solids of revolution.	CLO3

Textbooks, References & Other Resources:

Howard Anton, Calculus: A New Horizon, Wiley,
George Thomas and Ross L. Finney, Calculus and Analytic Geometry, Addison Wesley.
Peter O’Neil, Advanced Engineering Mathematics, Cengage Learning, 2011.
Calculus – An Applied Approach by Ron Larson, Eight

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy Class Test, Assignment, Midterm, Final Exam
CLO1	· Interactive Lecture · Mathematical Problem solving · Group Discussion · Student Presentation
CLO2
CLO3

Course Title: Coordinate Geometry and Vector Analysis
Course Code: MAT 1205
Course Type: Mathematics	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to build up basics of co-ordinate geometry & vector analysis in the context of electrical engineering applications.

Course Objectives:

The objectives of this course are-

To accumulate basics of co-ordinate
To develop skills on solving problems related to curves and surfaces.

Course Learning Outcome (CLOs):

Upon successful completion of this course, students will be able to

CLO1

Apply geometric properties and relationships to solve multistep problems in two

dimensions.

CLO2

Calculate grad, divergence and curl in Cartesian and other simple coordinate

systems, and establish identities connecting these quantities.

CLO3

Demonstrate the important quantities associated with vector fields to find work

done, volume and mass using vector integration.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Description:

SL No.	Course Content	CLOs
1.	Co-Ordinate Geometry System of co-ordinates, Changes of axes, transformation of co-ordinates and simplification of equation of curves. Pair of straight lines, conditions under which general equation of second degree may represent a pair of straight lines, standard equation of circle, parabola ellipse and hyperbola with explanation. Conic together with its Cartesian and polar equation. Three dimensions: system of co-ordinates, distance between two points, direction cosine and ratio, the equation of a plane, its normal form and intercept form, equation of sphere.	CLO1
2.	Vector Vector components, Vector components in spherical and cylindrical system, Vector operators, Del, Gradient, Divergence, Laplacian operator and Curl. Their physical significance, triple product and multiple products of vectors. Linear dependence and independence of vectors.	CLO2
3.	Vector Calculus Differentiation and integration of vectors along with their elementary applications, definition of line, surface and volume integrals, Gauss’s theorem, Stoke’s theorem, Green’s theorem.	CLO3

Textbooks, References & Other Resources:

Sardar Abdus Sattar, A Text Book on Vector Analysis, Ali Publications,
F. M. Abdur Rahman and P. K. Bhattacharjee, A Text Book on Co-ordinate Geometry with Vector Analysis, Baril Press, 1986.
Peter O’Neil, Advanced Engineering Mathematics, CenGage Learning, 2011.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture
CLO2	· Mathematical Problem solving · Group Discussion · Student Presentation	Class Test, Assignment, Midterm, Final Exam
CLO3		Class Test, Assignment, Midterm, Final Exam

Course Title: Numerical Methods
Course Code: MAT 2304
Course Type: Mathematics	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

This course aims to explore basic algorithms in modern system on numerous uses of numerical methods in engineering.

Course Objectives:

The Objectives of this course are-

To help students to demonstrate aptitude in standard numerical
To help students learn error estimations for numerical derivative
To make students demonstrate implementation of numerical methods for engineering

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Interpret the mathematical solutions in a clear and concise manner
CLO2	Classify the various numerical methods for solving mathematical models
CLO3	Solve various numerical methods for solving mathematical models

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO

CLO1

√

CLO2

√

CLO3

√

Mapping of Course Outcomes to Program Outcomes-

Course Description:

SL No.	Course Content	CLOs
1.	Introduction to Numerical Computation and Computer programming.	CLO1
2.	Root finding-bisection, Regula-Falsi, Newton-Raphson Method using Computer Application.	CLO2, CLO3
3.	Solving transcendental equations	CLO2, CLO3
4.	Solving linear equations	CLO2, CLO3
5.	Numerical integration and differentiation	CLO2, CLO3
6.	Curve fitting techniques	CLO2, CLO3
7.	Numerical solution of ordinary differential equations	CLO2, CLO3

Text Books, Reference Books and Other Resources:

John Gregory and Don Redmond, Introduction to Numerical Analysis, Jones & Bartlett Publishers, 1994.
Burden, L., and Faires, J. D. Richard L. Burden, J. Douglas Faris, Numerical Analysis, Brooks/Cole Publishing Company, 2000.
Curtis Gerald and Patrick O. Wheatley, Applied Numerical Analysis, Addison- Wesley Publishing Company, 2003.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions	Written Tests/Quizzes, Final
CLO2	· Follow Lab Manuals	Performance Tests,
CLO2	· Hands-on Experiments · Assignments	Class Performance, Presentation, Final Viva/Oral Exam,
CLO3	· Hands-on Experiments · Assignments	Class Performance, Presentation, Final Viva/Oral Exam,
	· Report Writing	Lab Reports
	· Presentations

Course Title: Matrix, Linear Algebra, and Differential Equation
Course Code: MAT 2207
Course Type: Mathematics	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to make students solve electrical engineering problems related to complex function, linear transformation and vector space.

Course Objectives:

The objectives of this course are:

To help the students to find mathematical expressions that involves vectors, matrices and eigenvalue
To develop the ability to solve differential equations in the context of computer

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Apply different types of matrices and determinants in solving real time engineering problems.
CLO2	Apply the techniques of linear algebra in solving engineering problems.
CLO3	Formulate differential equation problems in the field of engineering

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Description:

SL No.	Course Content	CLOs
1.	Matrix Definition of matrices, different types of matrices, algebra of matrices, adjoint and inverse of matrices, rank and elementary transformation of matrices, Cayley- Hamilton theorem, normal and canonical forms, solution of linear equations, eigenvalues and eigenvectors.	CLO1
2.	Linear Algebra Algebraic fields, linear spaces, subspaces, basis and dimension, linear transformation from IRn to IRm, functional and dual space, Inner product spaces. Gram-Schmidt process and QR-decomposition. Application of linear algebra to electric networks.	CLO2
3.	Differential Equation: Degree and order of differential equations, Formation of differential equations, Solution of first order and first-degree differential equations by various method, solution of linear differential equations of second and higher order with constant coefficients, solution of homogeneous linear differential equations, Solution of differential equations of the higher order when the dependent or independent variables are absent. Frobenius method.	CLO3

Text Books, Reference Books and Other Resources:

Howard Anton, Elementary Linear Algebra, Wiley,
D. Gupta, Mathematical Physics, Vikas Publication House, 2009.
Murray Spiegel, Theory and Problems of Complex Variables, McGraw-Hill, 1977.
Abdur Rahman, Linear Algebra, Nahar Book Depot and Publication,
David Lay and Steven Lay, Linear Algebra and Its Applications, Pearson. 2014.
Peter O’Neil, Advanced Engineering Mathematics, Cengage Learning, 2011.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Mathematical Problem solving · Group Discussion · Student Presentation	Class Test, Final Exam, Assignment, Midterm
CLO2
CLO3

Course Title: Statistics and Probability
Course Code: STA 2107
Course Type: Mathematics	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to make students understand the basics of statistical data analysis in the context of electrical engineering.

Course Objectives:

The objectives of this course are:

To help students conceptualize basic theories on statistics and
To help students to apply the statistical knowledge to build queuing model in the context of engineering problem.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1

Solve engineering problems using key concepts of statistics.

CLO2

Evaluate the probability density functions of random variables to generate data from

various distributions.

CLO3

Construct queuing models.

Mapping of Course Learning Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Description:

SL No.	Course Content	CLOs
1.	Statistics Basic concepts of frequency distribution, measures of location and variation, permutation, combination, sets.	CLO1
2.	Probability probability, random variable and its probability distribution, discrete and continuous probability distribution- Bayes theorem, binomial distribution, Poisson distribution, normal distribution, estimation, hypothesis testing, design of experiments, chi-square test, variance analysis, regression analysis, correlation analysis.	CLO2
3.	Queuing Theory Stochastic processes, discrete time Markov chain and continuous time Markov chain, birth-death process in queuing, queuing models.	CLO3

Text Books, Reference Books and Other Resources:

Nurul Islam, Statistics and probability, Mullick and Brothers, 2015
Murray Spiegel, Theory and problems of statistics, McGraw-Hill, 1989.
Ronald Walpole, Raymond H. Myers, Sharon L. Myers, and Keying Ye, Statistics and Probability, Prentice Hall, 2012.
C. Gupta and Indra Gupta, Basic Statistics & Probability, Himalaya Publishing House, 2008.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Mathematical Problem solving · Group Discussion · Student Presentation	Class Test, Final Exam Assignment, Midterm
CLO2
CLO3

Other Engineering Courses (17.25 credits).

Course Title: Mechanical Engineering Drawing
Course Code: ME 1104
Course Type: Other Engineering Course	Credits: 0.75
Status: Sessional	Pre-requisite: None

Course Rationale:

This course aims to provide students an understanding of engineering drawing, an essential means of communication in engineering.

Course Objectives:

The objectives of this course are-

To familiarize with drawing instruments and conventions in making engineering
To introduce with freehand single view and multi-view
To acquaint with Isometric sketching techniques and multi-view
To develop the knowledge of AutoCAD (Or Solid Works) in making engineering drawings with dimensions and taking sectional views.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1

Familiarize with different drawing equipment, technical standards and procedures for

construction of geometric figures.

CLO2

Draw freehand single view, multi-view sketches, and isometric sketches.

CLO3

Create and modify two-dimensional orthographic drawings using CAD tools.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL

No.

Course Content

CLOs

1.

Mechanical Engineering Drawing

Introduction, Orthographic drawings, First and third angle projections, scale drawing, sectional view, isometric views, missing line, auxiliary view, detail and assembly drawing

CLO1, CLO2

2.

CAD Tools

Drawing using CAD tools or contemporary packages instructed by the teachers.

CLO3

Textbooks, References & Other Resources:

Lab Manuals

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture	Class Performance, QUIZ, VIVA
CLO2	· Interactive Lecture	Class Performance, Report
CLO2	· Design done by Students	Class Performance, Report
	· Design done by Students
CLO3	· Mini Project · Student Presentation	Class Performance, QUIZ, Presentation
	· Student Demonstration

Course Title: Introduction to Electrical Engineering
Course Code: EEE 1101
Course Type: Other Engineering Course	Credits: 3
Status: Theory	Pre-requisite: None

Course Rationale:

Intended to enable the students to learn the fundamentals of electrical circuits. Use the acquired knowledge to understand the working and operations of electrical circuits to solve the problems for industry opportunities.

Course Objectives:

The objective of the course is

To provide the knowledge of Alternating Current (AC) and Direct Current (DC) circuits/networks.
Helping the students develop the ability to solve the unknown electrical parameters used to design electrical
To develop skills to analyze and criticize the behavior of electrical

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1

Explain the circuit theorems and methodology to solve simple DC as well as AC

circuits/networks.

CLO2

Infer electrical parameters which are used to design electrical and electronic devices.

CLO3

Illustrate different types of circuit theorem to find the unknown parameter of an electrical circuit/network.

Mapping of Course Outcomes to Program Outcomes-

PLO10PLO11PLO12

	PLO1	PLO2	PLO3	PLO4	PLO5	PLO6	PLO7	PLO8	PLO9
CLO1	√
CLO2		√		√
CLO3	√	√

Course Description:

SL No.	Course Content	CLOs
1.	Circuit Theorems: Fundamental electrical concepts, Electrical parameters in AC and DC circuits, Measuring devices in the electrical system, Different types of materials, Temperature effect on materials, Ohm’s Law, KVL, KCL, VDR, CDR.	CLO1
2.	DC Circuits (DC): Series DC circuits, Parallel DC Circuits, Series-parallel circuits.	CLO3
3.	Method of Analysis and Theorems: Different types of circuit conversions, Bunch Current analysis, Mesh analysis, Nodal analysis, Network theorems.	CLO2 CLO3
4.	AC Circuits (AC): The Basic Elements and Phasors: R branch, L branch, C branch, and RLC branch Series AC circuits, Parallel AC circuits, Series-parallel AC circuits. Reasoning Circuit: Series and Parallel circuits	CLO3

Textbooks, References & Other Resources:

Robert Boylestad, Introductory Circuit Analysis, Prentice Hall, 2010.
Russell Kerchner and George F. Corcoran. Alternating Current Circuits, Wiley & Sons, 1949.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice Fill-in-the-blanks, True/False, Quizzes Summary, Essay, Diagrams, Shor Answers, Problem-solving tasks, Cas studies, Analysis report
CLO2
CLO3

Course Title: Introduction to Electrical Engineering Laboratory
Course Code: EEE 1102
Course Type: Other Engineering Course	Credits: 1.5
Status: Theory	Pre-requisite: None

Course Rationale:

This course intends to enable the students to analyze the electrical circuits and apply acquired knowledge to design circuits in the electrical system.

Course Objectives:

The objective of the course is to

Provide practical knowledge of electrical
Acquaint students with different measuring equipment used in electrical circuit
Develop the ability to verify the physical parameter in an electrical
Make the students understand the design concept and design issues of the electrical

Course Learning Outcomes (CLOs):

Upon successfully completing this course, students will be able to

CLO1	Displays electrical data from an electrical system/network.
CLO2	Calculate electrical parameters and examine their behavior in the electrical network.
CLO3	Design the electrical circuits and networks to solve a specific problem.
CLO4	Assembles the electrical circuits for a specific task.
CLO5	Write an individual or group report to disseminate the experiment execution process and findings.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO1 0

PLO1 1

PLO1 2

CLO 1

√

CLO 2

√

CLO 3

√

CLO 4

√

CLO 5

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Introduction to Electrical Engineering by using physical devices and components.

CLO1, CLO2, CLO3, CLO4

2.

Lab Report Writing: Objective, Introduction, Required Instruments Methodology, Sample Input/Output, Results and Discussions

CLO5

Textbooks, References & Other Resources:

Laboratory
Robert Boylestad, Introductory Circuit Analysis, Prentice Hall, 2010.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Follow Lab Manuals · Hands-on Experiments · Assignments · Report Writing · Final Projects · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Written Tests/Quizzes, Final Performance Tests, Class Performance, Final Viva/Oral Exam, Lab Reports
CLO2
CLO3
CLO4
CLO5

Course Title: Electronics Device and Circuits
Course Code: EEE 1201
Course Type: Other Engineering Course	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

Intended to enable the students to learn the fundamentals of electronics devices and circuits. Use the acquired knowledge to understand the working and operations to solve the problems for industry opportunities.

Course Objectives:

The objective of the course is

To understand the basic knowledge of electronics and
To provide foundation knowledge to solve unknown parameters of electronic circuits and
To develop skills to design electronic circuits/networks.

Course Learning Outcomes (CLOs):

Upon successfully completing this course, students will be able to

CLO1	Explain the knowledge about electronic devices and parameters.
CLO2	Infer electronics parameters are used to design electronics devices.
CLO3	Evaluate the problems related to electronic systems and designs.
CLO4	Illustrates electronics-related circuitry and its interfacing.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO1 0

PLO1 1

PLO1 2

CLO 1

√

CLO 2

√

CLO 3

√

CLO 4

√

Course Description:

SL No.	Course Content (Summary)	CLOs
1.	Atomic structure, Semiconductor Physics, Semiconductor diodes, Special purpose diodes.	CLO1 CLO4
2.	Clamping and clipping circuits.	CLO3
3.	Bipolar Junction Transistor, BJT operations, and biasing techniques. BJT Amplifiers, JFET, JFET operations and biasing, MOSFET operations and biasing, Switching circuit, inverter.	CLO2 CLO3 CLO4
4.	Differential and multistage amplifiers, Differential and common mode gains, OP Amp (Operational Amplifier), Inverting and Non-inverting Amplifier.	CLO2 CLO4

Textbooks, References & Other Resources:

Robert Boylestad and Louis Nashelsky, Electronics Devices and Circuit Theory, Pearson, 2015.
Thomas Floyd, Electronics Devices, Pearson, 2018.
K. Mehta and Rohit Mehta, Principles of Electronics, S Chand & Co Ltd, 2013

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill-in-the-blanks, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, Problem- solving tasks, Case studies, Analysis report
CLO2
CLO3
CLO4

Course Title: Electronics Device and Circuits Laboratory
Course Code: EEE 1202
Course Type: Other Engineering Course	Credits: 03
Status: Laboratory	Pre-requisite: None

Course Rationale:

This course intends to enable the students to analyze the electronic circuits and apply acquired knowledge to design circuits in the electrical and electronic system.

Course Objectives:

The objective of the course is to

Provide knowledge of electronic devices and
Acquaint students with measuring equipment used in electronic circuits and
Help the students to develop the ability to test the physical characteristics of different
Develop some practical circuits that describe the basic phenomenon of
Provide design concepts and design issues of electronic

Course Learning Outcomes (CLOs):

Upon successfully completing this course, students will be able to

CLO1	Compare the electrical data from different electronic systems/networks.
CLO2	Infer electronic circuit/device’s parameters and examine their behavior in any network.
CLO3	Imitate to design an electronic circuit for a specific task.
CLO4	Assembles the electronic circuits for the desired output.
CLO5	Design basic electronic circuits and devices/networks to solve a specific problem.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL

No.

Course Content (Summary)

CLOs

1.

Laboratory work based on theory course Electronics Device and Circuits by using real-world physical devices and components.

CLO1, CLO2, CLO4, CLO5

2.

Lab Report Writing: Objective, Introduction, Required Instruments Methodology, Sample Input/Output, Results and

Discussions

CLO3

Textbooks, References & Other Resources:

Laboratory
Robert Boylestad and Louis Nashelsky. Electronics Devices and Circuit Theory, Pearson, 2015.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Follow Lab Manuals · Hands-on Experiments · Assignments · Report Writing · Final Projects · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Written Tests/Quizzes, Fin Performance Tests, Clas Performance, Final Viva/Or Exam, Lab Reports
CLO2
CLO3
CLO4
CLO5

Course Title: Data Communication
Course Code: EEE 4427
Course Type: Other Engineering Course	Credits: 03
Status: Laboratory	Pre-requisite: None

Course Rationale:

Data communication, which is the transmission of digital data through a network or to a device external to the sending device, is the cornerstone of modern telecommunications. Given the importance of different communication systems, this course is designed for Computer Science and Engineering students.

Course Objectives:

The objective of the course is to

Enable the students to understand the fundamental concepts and techniques of Data
Equip the skill required to apply encoding and communication
Facilitate students to analyze the error detection and correction

Course Learning Outcomes (CLOs):

After successful completion of this course, students will be able to

CLO1	Discuss the concepts of data communication systems and their components.
CLO2	Explain the digital and analogue representations and channels.
CLO3	Demonstrate the mechanism and techniques of encoding.
CLO4	Describe the general principles of communication protocol switching techniques.
CLO5	Implement different error detection, correction and flow control techniques.

Mapping of Course Learning Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction: Data Communications, components, Data Representation, Data Flow	CLO1
2.	Data And Signals: Analog and Digital, Periodic Analog signals, Digital Signals, Time and Frequency Domain, Composite Signal. Bandwidth, Digital Signal, Transmission of digital signal, Transmission Impairment, Noise, SNR. Data Rate Limits, capacity Theorem, Nyquist Bit rate, Shannon Bit rate. Performance, bandwidth Delay Product.	CLO2
3.	Digital Transmission: Digital-to-Digital Conversion, Baseline wandering, Self-synchronization Line coding schemes, Multilevel, multi transition, Block coding Concept, Scrambling Techniques, Analog-to-Digital Conversion, Sampling, Quantization, Encoding. DM, Transmission Modes. Parallel transmission, serial Transmission, Synchronous and asynchronous transmission	CLO3
4.	Modulation and demodulation: Amplitude modulation, frequency and phase Modulation Analog Transmission: Digital-to- Analog Conversion, Constellation Diagram,	CLO3
5.	Bandwidth Utilization: Multiplexing, Analog Hierarchy, Interleaving, Data Rate Management, Digital Hierarchy STDM, Spread Spectrum	CLO2
6.	Error Detection and Correction: Introduction, Single Bit Error, Burst Error, Detection Vs Correction, Forward Error correction Vs retransmission, Block Coding Hamming Distance, Linear Block Codes, Flow control techniques, CRC, Hamming Code, parity, ECC, checksum.	CLO5
7.	Circuit and Packet Switching techniques, different communication protocols	CLO4

Text Books, Reference Books and Other Resources:

Behrouz Forouzan, Data communication and Networking, McGraw Hill, 2012.
William Stallings, Data and Computer Communications, Prentice Hall,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Tutorials, E-Learning · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Problem-solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4
CLO5

Core Courses (62.75 credits) with Capstone Courses (6.75 credits).

Course Title: Machine Learning
Course Code: CSE 4311
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course provides appropriate machine learning techniques, and learning algorithms to best suit the current need and enhance the learning parameters for maximum performance.

Course Objectives:

The main objectives of this course are:

To provide students with an in-depth introduction to two main areas of Machine Learning: supervised and unsupervised
To introduce some of the main models and algorithms for regression, classification, and
To develop an understanding of the theoretical relationships between the learning algorithms
To enhance the learning parameters to achieve maximum

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1	Describe basic principles of Regression Algorithms with their strengths and weaknesses
CLO2	Apply appropriate Classification Algorithms for building an adaptive system.
CLO3	Use appropriate Unsupervised learning algorithms for classification.
CLO4	Illustrate an Artificial neural network to a real problem.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction to Machine Learning: Supervised Learning Setup.	CLO1
2.	Linear Prediction: Univariate and multivariate linear regression, Hypothesis function, Cost function, Method to minimize cost function: Gradient Descent algorithm. Polynomial regression, Normal equation,	CLO1
3.	Classification Algorithms for building an adaptive system: Logistic regression, Bias-variance tradeoff, Regularization of logistic regression, Support Vector Machine, Kernel Support Vector Machine, Decision Tree, Random Forest Classification. K-Nearest Neighbor (KNN) Algorithm,	CLO2
4.	Probabilistic Modeling: Bayesian Method, Naïve Bias	CLO2
5.	Unsupervised Learning: Clustering: K-Means Clustering, Hierarchical Clustering, Association Rule Learning: Apriori, Eclat Dimensionality Reduction: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)	CLO3
6.	Artificial Neural Network: Representation, Learning, Multilayer feed-forward network, cost function, Backpropagation algorithm for training a feed-forward network,backpropagation intuition, gradient checking, introduction to Deep Learning, Reinforcement Learning, and control.	CLO4

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	● Lectures/Instructions ● Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. ● Flipped classroom ● Whiteboard/Blackboard, Video and audio examples ● On the spot class/quiz tests ● Student Presentation ● Assignments · Discussions	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Short answers, Diagrams, Presentation, Problem- solving tasks
CLO2
CLO3
CLO4

Course Title: Machine Learning Lab
Course Code: 4312
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

This course provides the most effective machine learning techniques, and learning algorithms to best suit the current need and enhance the learning parameters for maximum performance.

Course Objectives:

The main objectives of this course are:

To provide students with an in-depth introduction to two main areas of Machine Learning: supervised and unsupervised
To apply some of the main models and algorithms for regression, classification, and
To enhance the learning parameters to achieve maximum

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1	Apply basic principles of Regression Algorithms for building an adaptive system.
CLO2	Apply appropriate Classification Algorithms for building an adaptive system.
CLO3	Apply appropriate Unsupervised learning algorithms for classification.
CLO4	Apply the algorithms to a real problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the models.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs

Teaching-Learning Strategy

Assessment Strategy

CLO1

● Lectures/Instructions

● Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc.

● Flipped classroom

● Whiteboard/Blackboard, Video and audio examples

● On the spot class/quiz tests

● Student Presentation

● Assignments

· Discussions

Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Short answers, Diagrams, Presentation, Problem- solving tasks

Course Title: Digital Image Processing

Course Code: CSE 4371

Course Type: Elective Subject (Data Science)	Credits: 3
Status: Theory	Pre-requisite: None

Course Rationale:

Digital Image Processing emphasizes on general principles of image processing and its applications.

Course Objectives:

Upon completion of this course, students will be able to do the following:

Develop a theoretical foundation of fundamental Digital Image Processing concepts
Demonstrate and implement basic algorithms for image
Explain and apply various filters, point processing, and arithmetic operations in image processing
Find and compare different applications of Digital image

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Explain the principals of the Digital Image Processing terminology used to describe features of images.
CLO2	Adapt and apply the mathematical foundations for digital manipulation of images, image acquisition, preprocessing, segmentation, Fourier domain processing, compression and analysis.
CLO3	Construct the clear picture of Image Restoration and Reconstruction, Color Image Processing, Compression, Representation, Description and implement them.
CLO4	Explain the Image Enhancement in the Spatial and Frequency Domain.

Course Description:

SL No.	Course Content	CLOs
1.	Digital Image Fundamentals: Fundamental concepts and definitions, Light and pixel’s basic properties.	CLO1
2.	Binary Image Analysis: Steps and different algorithms of binary image analysis with necessary terminology, labeling.	CLO2
3.	Intensity transformation and Spatial Filtering: Different transformations, correlation and convolution, smoothing and sharpening filters.	CLO4
4.	Edge and Corner detection: Edge, corner, origins, detection algorithm.	CLO3
5.	Filtering in Frequency Domain: DFT, smoothing and sharpening in frequency domain, Various filters and their filtering method.	CLO4
6.	Image transforms: FFT, DCT, DWT, SVD, Different Transformation algorithms.	CLO4
7.	Image Restoration and Reconstruction: Noise models, spatial and frequency filtering, reconstruction from projections.	CLO3
8.	Color Image Processing: Color models, color transformation and segmentation.	CLO2
9.	Noise: Properties of Noise, Estimation of Noise Parameters.	CLO1
10.	Morphological Image Processing: Erosion, dilation, opening, closing, morphological algorithms.	CLO2
11.	Image Compression: Redundancy, fidelity criteria, Different image compression techniques, Image compression standards.	CLO3
12.	Image Segmentation: Point, line and edge detection, thresholding, region-based segmentation, region growing and shrinking,	CLO3
13.	Object Recognition: Matching, statistical classifier, neural networks, clustering.	CLO3

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Textbooks, References, and Online Resources:

Gonzalez, Rafael , Woods, Richard E., Digital Image Processing, Pearson, 2018.
Anil Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Assignments, Discussions, Investigations · Case Studies	Multiple Choice, Fill-in-the- blanks, Summary, Short Answers, Problem-solving tasks, Case studies, Analysis report, Review report
CLO2
CLO3
CLO4

Course Title: Digital Image Processing Laboratory
Course Code: CSE 4372
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

Digital Image Processing emphasizes on general principles of image processing and its applications.

Course Objectives:

The objective of the course is to enable the students to

Understand the basic concepts of Digital Image
Apply different types of algorithms to process a digital
Implement different image compression

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Classify different types of digital images and their processing algorithms.
CLO2	Solve many complex problems by using image processing techniques.
CLO3	Develop system by compressing and sharping digital image.

Course Description:

SL

No.

Course Content

CLOs

1.

According to Digital Image Processing Theory Course.

CLO1

2.

Report: Introduction, tools, methodology, result, limitation, discussion.

CLO1, CLO2, CLO3

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Textbooks, References, and Online Resources:

Gonzalez, Rafael C., Woods, Richard E., Digital Image Processing, Pearson, 2018.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Follow Lab Manuals · Hands-on Experiments · Assignments · Report Writing · Final Projects · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Written Tests/Quizzes, Final Performance Tests, Class Performance, Presentation, Final Viva/Oral Exam, Project Exhibition, Lab Reports
CLO2
CLO3

Course Title: Big Data Analytics
Course Code: CSE 4345
Course Type: Elective Subject (Data Science)	Credits: 3
Status: Theory	Pre-requisite: None

Course Rationale:

This course builds up the student’s ability to understand the key aspects of big data platforms, problems, and applications.

Course Objectives:

The objective of the course is to

Make the students understand the concept of big data and its application
Help them conceptualize basic techniques in big data
Acquaint students with the basic tools of handling big data
Get the idea about using the knowledge of big data to solve real life problem

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Understand big data characteristics
CLO2	Analyze the existing challenges in big data
CLO3	Explain the importance and performance of different big data techniques and tools
CLO4	Utilize the knowledge to solve problem and build own project

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

√

Course Content:

SL No.	Course Content	CLOs
1.	Types of digital data, introduction to big data, the challenges of distributed data analytics, scalable data science	CLO1
2.	Concepts, methods and tools for extracting and integrating large amount of heterogeneous information	CLO2
3.	Introduction to Big Data ecosystem	CLO1
4.	Principles and concept of key value managers (MapReduce, Pig, Hive, Hbase)	CLO1
5.	Introduce with the concept of handling big data files in Hadoop	CLO3
6.	Explain map reduce, Spark.	CLO3
7.	Concepts of querying big data with Hive, introduction to Hive and HiveQL	CLO3, CLO4
8.	Data integration	CLO3, CLO4
9.	Visualization process and visualization techniques	CLO3
10.	Identify problems in real application (social media data, time series data, medical/health data etc)	CLO4
11.	Next steps in big data world.	CLO4

Text Books, Reference Books and Other Resources:

Tom White, Hadoop: The Definitive Guide, O'Reilly Media,
Seema Acharya, Subhashini Chellappan, Big Data and Analytics, Wiley,
Thomas Erl, with Wajid Khattak, Paul Buhler, Big Data Fundamentals: Concepts, Drivers & Techniques, Prentice Hall, 2016.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs

Teaching-Learning Strategy

Assessment Strategy

CLO1

· Lectures/Instructions

· Follow Lab Manuals

· Hands-on Experiments

· Assignments

· Report Writing

· Final Projects

· Group Work: Assignments, Discussions, Investigations, Presentations

· Case Studies

Written Tests/Quizzes, Final Performance Tests,

Class Performance, Presentation,

Final Viva/Oral Exam, Project Exhibition, Lab Reports

Course Title: Big Data Analytics Laboratory
Course Code: CSE 4346
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

This course builds up the student’s ability to grasp the key aspects of big data platforms, problems, and applications.

Course Objectives:

The objective of the course is

To develop an understanding of the concept behind the big data and its application.
To enable students to analyze with the basic tools of handling big

To develop skills for using recent big data software to solve practical problems in a variety of disciplines.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to-

CLO1

Describe the different forms of Big Data and how they can be analyzed.

CLO2

Implement the HADOOP and Map Reduce technologies associated with big data

analytics.

CLO3

Use Pig and Hive technologies to explore on Big Data applications.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Content:

SL

No.

Course Topic

CLOs

1.

Laboratory work based on theory course Big Data Analytics

CLO1 CLO2 CLO3

Text Books, Reference Books and Other Resources:

Tom White, Hadoop: The Definitive Guide, O'Reilly Media, 2015
Seema Acharya, Subhashini Chellappan, Big Data and Analytics, Wiley, 2015
Thomas Erl, with Wajid Khattak, Paul Buhler, Big Data Fundamentals: Concepts, Drivers & Techniques, Prentice Hall, 2016

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video and audio examples · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Multiple Choice, Fill-in-the-blanks, Quizzes, Summary, Presentation,Problem-solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3

Course Name: Digital Signal Processing
Course Code: EEE 4791
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to provide students with the basics of digital signal processing and filtering techniques that are essential for digital systems.

Course Objectives:

The objectives of this courses are:

To introduce the students to the basic knowledge of digital signal
To provide students with the necessary knowledge for discrete and fast fourier
To familiarize students with the principles of convolution and correlation.
To provide students with basic knowledge of z-transform.
To Acquaint students with fundamental knowledge for digital

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to-

CLO1	Learn the basics of digital signal processing techniques.
CLO2	Perform transformation and reconstruction of an electrical signal.
CLO3	Perform different operations on signal using Z transformation.
CLO4	Analyze frequency response of digital LTI Systems.
CLO5	Design Digital Filters.
CLO6	Perform wavelet transformation on a signal.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

√

CL O5

√

CL O6

√

Course Description:

SL No.	Course Content	CLOS
1.	Introduction to DSP: Digital signals and systems: Operations in digital signal processing, the scope of DSP, analog to digital conversion, frequency Domain Effects of Sampling: Periodic repetitions in frequency domain due to sampling in time domain, recovery of continuous-time signal from its samples (reconstruction), role of anti-aliasing and reconstruction filters, examples of aliased signals (show how waveform is distorted), impulse response, finite impulse response (FIR) and infinite impulse response (IIR) of discrete-time systems, difference equation.	CLO1
2.	Discrete Transformations: Discrete Fourier series, the Discrete-Time Fourier Transform, discrete Fourier transform (DFT) and fast Fourier transform (FFT): Forward and inverse transforms; coefficient ordering; time and frequency resolution; periodic extension, zero padding and modulo-M reduction; properties of the DFT, circular convolution; Cooley-Tukey decomposition, recursive application, radix-2 FFTs, time and frequency decimation, computational complexity.	CLO- 2
3.	Z-Transforms: Regions of convergence, convolution property and graphical interpretation of the convolution operation, z-transforms of cascaded systems, stability and causality.	CLO3
4.	Realization of Frequency Response: Frequency response (Magnitude and Phase), representation of LTI systems with rational polynomials, block-form implementations of a rational polynomial transfer function.	CLO4
5.	Digital Filters: FIR filters- linear phase filters, specifications, design using window, optimal and frequency sampling methods; IIR filters- specifications, design using impulse invariant, bi-linear z-transformation, least-square methods, linear phase, Butterworth, Chebychev, Inverse Chebychev, Bessel and elliptic filters, finite precision effects in implementing digital filters.	CLO5
6.	Implementing Digital Filters: Block-diagram representations; direct forms; cascade forms, first and second-order factors; parallel forms; feedback loops transposed forms; linear-phase FIR structures.	CLO5
7.	Wavelets: Short time Fourier transform; fundamentals of wavelets, wavelet transform (continuous and discrete), time – frequency density and orthogonal bases.	CLO6

Textbooks, References and Other Resources:

John G Proakis, Dimitris G. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, Prentice Hall, 1995.
Alan Oppenheim and Ronald W. Schafer, Digital signal processing, Pearson, 1975.
Branko Kovacevic and Zeljko Durovic, Fundamentals of Stochastic Signals, Systems and Estimation Theory: With worked Examples, Springer,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing Circuit Design, Mapping, etc. · Tutorials, E-Learning · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Multiple Choice, Fill-in-the-blanks, Label, Match, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, Muddiest point, One-minute paper, Problem-solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4

Course Name: Digital Signal Processing Laboratory
Course Code: EEE 4412
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to provide students with the practical knowledge, principles and applications of digital signal processing that are essential for modern engineering.

Course Objectives:

The objectives of this course are-

To introduce students to basic simulation techniques of digital signal
To familiarize students with FIR and IIR filter design and their
To help students improve their ability to present the results of investigations orally and in writing.

Course Learning Outcomes (CLOs):

After successful completion of this course, students will be able to

CLO1

Analyze different digital signals and digital filters with DTFT, FFT and z-

transform using modern CAD tools.

CLO2

Conclude the result from experimental data.

CLO3

Write comprehensive reports on the work done in laboratory in a group and

orally present the findings.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Description:

SL No.	Course Content
1.	Laboratory work using CAD tools based on theory course Digital Signal Processing.
2.	Report writing based on laboratory work.
3.	Oral presentation on mini project work (design project/analytical project/ experimental project/industrial tour).

Textbooks, References and Other Resources:

Lab Manuals

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Tutorials, E-Learning · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill- in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Problem- solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3

Course Title: Internet of Things
Course Code: CSE 4367
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

Intended to enable the students to learn the cutting-edge skills to connect people, systems and physical objects for storing, processing, analyzing data seamlessly over the Internet. Use the acquired knowledge to understand the larger and more complex solutions and a firm foundation for yet to emerge industry opportunities.

Course Objectives:

Upon completion of this course, students will be able to do the following:

Identify and demonstrate different Internet of Things (IoT) devices, connections and enabling technologies, and different applications of IoT systems.
Learn different protocols used in
Analyze and secure the data generated by IoT

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Identify the enabling technologies, standards, protocols, and connections that make up the IoT system, and IoT applications.
CLO2	Explain the data transfer process to the cloud and between cloud providers.
CLO3	Describe security requirements in IoT and corresponding mitigation techniques to secure IoT systems.
CLO4	Illustrate smart systems using IoT devices, connections, and technologies
CLO5	Infer information or hidden patterns from the data generated by IoT devices.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

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CL O2

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CL O3

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CL O4

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CL O5

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Course Description:

SL No.	Course Content	CLOs
1.	IoT fundamental concepts, key devices and connections, and the technologies and protocols used to build these devices.	CLO1
2.	IoT device communication, IoT enabling technologies, IoT applications especially for environment and sustainability	CLO1, CLO4
3.	IoT application layer protocols: HTTP, REST, CoAP, MQTT, Web Socket, AMQP, etc.	CLO1
4.	IoT network, routing, and link-layer protocols: 6LoWPAN, RPL; WLAN: IEEE 802.11, LPWAN: IEEE 802.11ah and LoRa, Short-range communication: IEEE 802.15.4 (ZigBee), Near Field Communication (NFC), IEEE 802.15.1 (Bluetooth).	CLO1
5.	IoT system design and prototype implementation methodologies.	CLO1, CLO4
6.	IoT data storage, cloud infrastructure and Big Data analytics for IoT, and data analysis and visualization tools for IoT data.	CLO2, CLO5
7.	IoT cloud security protocols such as DTLS, OAuth, SAML, etc.	CLO2, CLO3

Textbooks, References & Other Resources:

Arshdeep Bahga and Vijay Internet of Things: A hands-on Approach, Universities Press (India) Private Limited, 2015.
Rajkumar Buyya and Amir Vahid Dastjerdi, Internet of Things Principles and Paradigms, Morgan Kaufmann, 2016.
Samuel Greengard, The Internet of Things, The MIT Press,
Vlasios Tsiatsis, Stamatis Karnouskos, Jan Holler, David Boyle, Catherine Mulligan, Internet of Things Technologies and Applications for a New Age of Intelligence, Elsevier,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, etc. · Tutorials, E-Learning	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics,
CLO2
CLO3
CLO4
CLO5	· Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Presentation, Short Answers, One-minute paper, Problem- solving tasks, Case studies, Critique writing, Analysis report, Review report

Course Title: Internet of Things Laboratory
Course Code: CSE 4368
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

This course intends to enable the students to realize the real-world IoT system implementation and analyze data generated by IoT devices.

Course Objectives:

The objective of the course is to enable the students to-

Understand and apply IoT solutions to bridge the gap between operational and information technology systems.
Develop embedded systems and real-world problem-solving skills using both real equipment and simulation tools.
Write codes to read IoT data from sensors and store that in cloud databases; secure and analyze the IoT data stored in cloud databases.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Assemble IoT and embedded systems using necessary hardware, operating systems, and software.
CLO2	Write codes to implement smart or embedded systems and transfer data between the embedded system and the cloud.
CLO3	Infer information or hidden patterns from the data generated by IoT devices.
CLO4	Design real-time or simulation-based IoT smart systems.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CLO1

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CLO2

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CLO3

√

CLO4

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Contemporary Course of Computer Science using physical devices and Cisco Packet Tracer Simulation.

CLO1, CLO2, CLO3

2.

Mini Project: Problem analysis, Scope identification, Modelling, Implementation, Results, Presentation, and Report

CO4

Textbooks, References & Other Resources:

Arshdeep Bahga and Vijay Internet of Things: A hands-on Approach, Universities Press (India) Private Limited, 2015.
Cisco IoT Lab manuals
Cisco Packet Tracer Simulation Software

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video, and audio examples · Group Work: Assignments	Clicker questions, Multiple Choice, Fill- in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, Problem-solving tasks
CLO2
CLO3
CLO4

Course Title: Data Mining
Course Code: 4333
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course builds up the student’s ability to understand different techniques and algorithms of data mining.

Course Objective:

The objective of the course is to

Develop the knowledge about background of data basics and data
Apply the knowledge of classification and clustering techniques.
Solve problems related to data

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Explain the background and characteristics of data mining
CLO2	Differentiate existing techniques and algorithms in data mining
CLO3	Solve related data mining problems with appropriate technique

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

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CL O2

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CL O3

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Course Description:

SL No.	Course Content	CLOs
1.	Introduction: What is data mining, data mining goals, related technologies: Machine Learning, DBMS, OLAP, Statistics, data mining techniques and applications	CLO1, CLO2
2.	Data preprocessing, Compare and contrast supervised and unsupervised learning	CLO2, CLO3
3.	Hashing, Recommenders system	CO2, CLO3
4.	Community detection in graph, Graph representation learning, Graph neural network	CLO1, CLO3
5.	Optimizing submodular function	CLO2, CLO3

Text Books, Reference Books and Other Resources:

N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining, Addison Wesley, 2005.
Jiawei Han, Micheline Kamber, Jian Pei, Data Mining Concepts and techniques, Morgan Kaufmann, 2011.
Ian Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2017.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	● Lectures/Instructions	Clicker questions, Multiple
	● Reading Materials/PPT slides	Choice, Fill-in-the-blanks,
CLO2
	containing flowcharts, graphs, diagrams,	Label, Match, True/False,
	charts, tables, Venn diagrams, etc.	Quizzes, Summary, Short
CLO3
	● Flipped classroom	answers, Diagrams,
	● Whiteboard/Blackboard, Video	Presentation, Problem-solving

	and audio examples	tasks
	● On the spot class/quiz tests
	● Student Presentation
	● Assignments
	· Discussions

Course Title: Introduction to Bioinformatics
Course Code: CSE 4321
Course Type: Elective Subject (Data Science)	Credits: 3
Status: Theory	Pre-requisite: None

Course Rationale:

Bio-Informatics has been the most used methods of incorporating intelligence of biological world to computer science. It is therefore necessary to develop a good understanding of their operation and how they can be used as building blocks for computerized application of biology. This course explores the inner workings of a biological world from the programmer’s perspective by implementing different algorithms of Computer Science.

Course Objectives:

The objectives of the course are to

To gather knowledge about biological world and relation with Computer Science and Engineering
To analyze some existing methods and algorithms for specific biological problems
To develop the research interest in the field of Bioinformatics
To identify the scope of bioinformatics research area and motivate them for research

Course Learning Outcomes (CLOs):

After successful completion of this course, students will be able to

CLO1	Identify the basic concepts of Bioinformatics such as molecular and cellular biology, DNA sequencing, Gene duplication, Paralog, Ortholog, Homolog, Selectivity, Sensitivity, Phylogenetic Tree.
CLO2	Classify bioinformatics algorithms and technologies for various existing methods for specific topic such as Global and Local Alignment, FASTA, HMM, Parsimony, Distance Approach, Maximum Likelihood Estimation.
CLO3	Ability to design and evaluate algorithms for specific biological problems.
CLO4	Enhance the major steps in pairwise and multiple sequence alignment, explain the principle for, and execute pairwise sequence alignment by dynamic programming.

Mapping of Course Learning Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

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CL O2

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CL O3

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CL O4

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Course Description:

SL No.	Course Content	CLOs
1.	Molecular biology basics: DNA, RNA, genes, and proteins; Restriction mapping algorithm; Motif in DNA sequences,	CLO1
2.	Motif finding algorithms; Genome rearrangements, sorting by reversals and breakpoints;	CLO2
3.	DNA sequence alignments; Gene prediction; Space-efficient sequence alignments, sub-quadratic alignment; DNA sequencing, genome sequencing, protein sequencing, spectrum graphs;	CLO3
4.	Biometrics authentication technologies: Fingerprint authentication, vein authentication, iris authentication, voice authentication, face authentication. Combinatorial pattern matching: Exact pattern matching, heuristic similarity search algorithms, approximate string matching,	CLO2
5.	BLAST, FASTA; Clustering: Microarrays, hierarchical clustering, K- means clustering, corrupted cliques’ problem,	CLO3
6.	CAST clustering algorithm; Evolutionary trees, Expectation Maximization Clustering, Bayesian Model Selection	CLO4

Text Books, Reference Books and Other Resources:

Neil Jones, Pavel A. Pevzner, An Introduction to Bioinformatics Algorithms, The MIT Press, 2004
Lesk, Arthur , Introduction to Bioinformatics, Oxford University Press, 2014
Durbin , Eddy S.R., Krogh A., Mitchison G., Biological sequence analysis, CUP, 1998

Mapping Course Learning Outcome (CLOs) with the Teaching Learning and Assessment Strategy:

CLO

Teaching Learning Strategy

Assessment Strategy

CLO1

· Lectures/Instructions

· Reading Materials

· Whiteboard/Blackboard, Video, audio examples

· Quiz/Class Test

· Showing and distributing the Power Point slides

· Distribution of articles, book chapters and reports

· Video examples

· Class performances

· Individual Assignment

Short Questions, Summary, True/False, Fill in the Blanks, Report Writing, Essay.

CLO2

CLO3

CLO4

Course Title: Artificial Neural Network and Fuzzy Systems
Course Code: CSE 4373
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

Course Objective:

The objective of the course is:

To facilitate necessary knowledge about the design and working principle of Artificial Neural Networks (ANN) and Deep Learning (DL).
To teach students how the mathematics behind the Neural Networks (NN) Learning actually works, rather than presenting only a cursory or surface-level description.
To help students conceptualize and understand the key parameters in a neural network's architecture and apply them to their own applications.
To gain the basics of different application areas and evaluation of fuzzy logic and fuzzy set

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1	Illustrate how different components are combined to form the structural building block of a NN
CLO2	Inspect the notion of a Single-layer (Perceptron) and Multi-layer NN and their basic working mechanism.
CLO3	Use the knowledge about the principle and mathematics behind the Training of a simple NN (Loss/Cost Function, Gradient Descent, Computation Graph).
CLO4	Explain fuzzy systems' fundamental concepts (fuzzy number, fuzzy relation, composition of fuzzy relation)
CLO5	Implement a fuzzy system representing the uncertain knowledge using fuzzy rules.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

√

Course Description:

SL No.	Course Content	CLOs
1.	A Gentle Introduction to NN: Differences among AI/ML/DL, Subcategories of ML and their working principle, Decision Boundary, Classification Example: AND, OR, XOR, Biological Vs. Artificial NN.	CLO1
2.	Applications of Neural Network: An abstract example of NN, Supervised Learning with NN, Popular NN Architectures (ANN, CNN, RNN, Transformers), Reason behind Deep Learning's success.	CLO1
3.	Structural Building Blocks of NN: Input/Output Layers, Weights and Bias, Activation Function (non-linearity), Summation Vs. Matrix.	CLO2
4.	Single Layer Perceptron (A Simple NN): Linear Regression, Training set, Input/Output, Forward Propagation, Pitfall of Single Layer Perceptron.	CLO2
5.	Multi-Layer NN: Concepts of Hidden Layer, XOR Calculation Using Summation Formula, ReLU Activation Function, Vectorized Representation of Multi-Layer NN, Adding Bias as a weight.	CLO2
6.	How NN's Learns: Weight Initialization (Random vs. Zero), Expected Vs Predicted Output, Loss and Cost Function, Back-propagation Basics.	CLO3
7.	Logistic Regression (LR): The pitfalls of Linear Regression, Binary Classification, From Linear to Logistic Regression, Sigmoid Activation Function.	CLO1
8.	Loss and Cost Function: Training/Dev/Test set, Loss function: M.S.E, Convex Vs. Non-convex, Local Vs. Global Optima, Log/Cross-Entropy Loss., L1 and L2 M.A.E, Cost Function, SoftMax Activation Function.	CLO3
9.	Gradient Descent (G.D): Finding the Global Optima, Derivatives, Weights and Bias Update, Learning Rate, Computation Graph.	CLO3
10.	Backward Propagation: Back-prop using Computation Graph, G.D with Back propagation for LR, G.D with ‘M’ training examples, G.D Algorithm using Summation, Vectorized G.D, Updating Weights and Bias, Iteration Vs. Batch Vs. Epochs.	CLO3
11.	Introduction to Fuzzy Logic: Fuzzy Set, Fuzzy Set Operations - Union, Intersection, Complement, Properties of Fuzzy Set, Extension Principles, Alfa-cuts.	CLO4
12.	Fuzzy Relations: Properties, Basic Operations, Compositions of Fuzzy Relations.	CLO4
13.	Fuzzy Number: Representation, Properties, Addition, Subtraction of Discrete and Continuous Fuzzy Number, Addition and Subtraction of Discrete Fuzzy Number through Extension Principle, Multiplication and Division of Fuzzy Number.	CLO4
14.	Fuzzy Linguistic Description: Linguistic Variables and Values, Implication Relations, Fuzzy Inference, and Composition.	CLO4

Text Books, Reference Books and Other Resources:

Aston Zhang, Zachary Lipton, Mu Li, and Alexander J. Smola , Dive into Deep Learning, d2l.ai, 202.
Tariq Rashid, Make Your Own Neural Network, CreateSpace Independent Publishing Platform,
Nithin Buduma & Nikhil Buduma & Joe Papa, Fundamentals of Deep Learning, O'Reilly Media, 2022.
Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, The MIT Press,
Lefteri Tsoukalas, Robert E. Uhrig, Fuzzy and Neural Approaches in Engineering, Wiley-Interscience, 1997.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill- in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Problem- solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4
CLO5

Course Title: Distributed System and Algorithms
Course Code: CSE 4483
Course Type: Elective Subject (Systems)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

Intended to provide an understanding of the principles on which the Internet and other large- scale distributed systems are based; their architecture, algorithms and design; and how they meet the demands of contemporary distributed applications

Course Objectives:

The objectives of the course are

To acquaint students with the principles, techniques, and practices relevant to the design and implementation of distributed systems
To understand major algorithms and theoretical results and explore them in modern applications like cloud computing, pervasive computing, Google file system, peer-to- peer systems, etc.
To develop the skill to design and development of distributed systems and distributed systems applications

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Interpret different theories, models and concepts for the design and implementation of distributed systems.
CLO2	Execute common problem-solving algorithms for modern distributed applications
CLO3	Identify the fundamental limitations and impossibility results for distributed systems to avoid them during realistic problem-solving
CLO4	Implement different distributed algorithms for real-world distributed computing applications

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

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Course Description:

SL No.	Course Content	CLOs
1.	Introduction to distributed system and model of distributed computation	CLO1
2.	Time, clock and synchronization,	CLO1
3.	Distributed object and components	CLO1
4.	Distributed file system	CLO1
5.	Remote invocation and indirect communication	CLO2
6.	Global state and snapshot recording algorithms,	CLO2
7.	Distributed mutual exclusion algorithms	CLO2
8.	Deadlock detection in distributed systems	CLO2
9.	Checkpointing and rollback recover	CLO3
10.	Consensus and agreement algorithm	CLO3
11.	Failure detectors, logical time and vector clocks, Routing algorithms	CLO1

Textbooks, References, and Online Resources:

Tim Coulouris, George Dollimore and Jean Kindberg, Distributed Systems: Concepts and Design, Addison Wesley, 2005.
Andrew Tanenbaum and Marteen V. Steen, Distributed Systems: Principles and Paradigms, Pearson, 2007.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples ·On the spot class/quiz tests ·Student Presentation ·Group Work: Assignments, Discussions, Investigations, Presentations ·Case Studies	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Problem-solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4

Course Title: Distributed System and Algorithm Laboratory
Course Code: CSE 4484
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

To practically implement graph algorithm, as well as to analyze the runtime in polynomial.

Course Objectives:

The main objectives of this course are:

To acquaint students with the principles, techniques, and practices relevant to the design and implementation of distributed systems
To understand major algorithms and theoretical results and explore them in modern applications like cloud computing, pervasive computing, Google file system, peer-to- peer systems, etc.
To develop the skill to design and development of distributed systems and distributed systems applications

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1	Use common problem solving algorithms for modern distributed applications (Shortest path algorithm is used for Routing table computation, Spanning tree is used by Efficient broadcasting algorithm, Vertex colouring is used for the reuse of frequencies in wireless networks, the maximum flow between a pair of nodes in a graph is determined by Maxflow algorithm).
CLO2	Implement different distributed algorithms for real-world distributed computing applications (Mutual Exclusion, Leader election, Replica management, Time synchronization, Consensus and Reliable broadcast)

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Distributed System and Algorithms

CLO1 CLO2

Recommended and Supplementary Books:

Distributed Systems: Concepts and Design, G. Coulouris, Jean Dollimore and Tim Kindberg, Addison Wesley, 4th Edition
Distributed Systems: Principles and Paradigms, A.S. Tanenbaum and M. Van Steen, Pearson, 2nd Edition

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	● Lectures/Instructions
	● Follow Lab Manuals	Written Tests/Quizzes, Final Performance
	● Hands-on Experiments	Tests, Class Performance, Presentation,
CLO2	● Hands-on Experiments	Tests, Class Performance, Presentation,
	● Assignments	Final Viva/Oral Exam,
	● Assignments	Final Viva/Oral Exam,
CLO3	● Report Writing ● Presentations	Lab Reports
CLO4

Course Title: Programming Fundamentals
Course Code: CSE 1113
Course Type: Core Course (Programming)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course will introduce the fundamental principles, mechanism of programming to develop basic programming skills.

Course Objectives:

The objectives of the course are

To introduce students with the syntax and semantics of programming
To help students to analyze and design programs to solve different problems using different library functions of a programming language.
To help the student to design a program using user-defined functions and data
To enhance the skill of adapting a new programming

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Describe basic programming approaches with data types, input and output operations.
CLO2	Write the syntax of the conditional statements for solving a specific problem.
CLO3	Write the syntax of the looping statements for solving a specific problem
CLO4	Prepare solutions of real-world problems using user-defined functions and data types.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction, Design of a program; Compilers, interpreters and IDE; Flow charts.	CLO1
2.	Data types, variable, operators, expressions.	CLO1
3.	standard input and output, formatted input and output, File I/O	CLO1
4.	Conditional Statements (If-else, Switch-case)	CLO2
5.	Looping Statements (for, while, do-while), Nested loops	CLO3
6.	Functions: user defined and library functions, recursion	CLO4
7.	Arrays, Strings	CLO4
8.	User defined data types	CLO4

Textbooks, References, and Online Resources:

Balagurusamy, Programming in ANSI C, Mc Graw Hill India, 2016
Herbert Schild, Teach Yourself C, McGraw-Hill Osborne Media,1997
Byron Gottfried, Schaum’s Outlines of Programming with C, Mc Graw Hill, 1996
Brian Kernighan and Dennis M. Ritchie, The C programming Language, Pearson, 1988

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard · On the spot class/quiz tests	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers
CLO2
CLO3
CLO4

Course Title: Programming Fundamentals Laboratory
Course Code: CSE 1114
Course Type: Core Course (Programming)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

To improve skill and expertise on a programming language by solving various problems.

Course Objectives:

The objectives of this course are-

To learn programming language
To make the student understand how to analyze the problems and translate the solution to programming language.

Course Learning Outcomes (CLOs):

After successful completion of this course, students will be able to

CLO1	Demonstrate the basic programming techniques and syntax.
CLO2	Infer the logic behind the solution of a given problem.
CLO3	Use programing constructs to solve specific real-world problems.
CLO4	Write, compile and debug computer programs in an Integrated Development Environment (IDE).
CLO5	Write an individual or group report to disseminate the problem execution process and findings.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL

No.

Course Content (Summary)

CLOs

1.

Laboratory work based on theory course Programming Fundamentals.

CLO1, CLO2, CLO3, CLO4

2.

Lab Report Writing: Objective, Introduction, Algorithm/Methodology/Source Code, Sample Input/Output, Results and Discussions

CLO5

Textbooks, References & Other Resources:

Balagurusamy, Programming in ANSI C, Mc Graw Hill India, 2016.
Herbert Schild, Teach Yourself C, McGraw-Hill Osborne Media,1997.
Byron Gottfried, Schaum’s Outlines of Programming with C, Mc Graw Hill, 1996.
Brian Kernighan and Dennis M. Ritchie, The C programming Language, Pearson, 1988.
Problem Solving using different online judges g., UVA, Codeforces etc.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Hands-on Experiments · Assignments · Report Writing · Group Discussions	Written Tests/Quizzes, Final Performance Tests, Class Performance, Final Viva/Oral Exam, Lab Reports
CLO2
CLO3
CLO4
CLO5

Course Title: Object Oriented Programming
Course Code: CSE 1115
Course Type: Core Course (Programming)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

The course focuses on the core concepts of object-oriented programming and design including understanding of the concepts such as classes, objects, data abstraction, methods, method overloading, inheritance, polymorphism and exception handling.

Course Objectives:

The objectives of this course are-

To facilitate necessary knowledge about the basic concepts and techniques which form the object-oriented programming paradigm.
To build an understanding of the object-oriented approach in
To familiarize the student with the writing and analyzing of computer programs to solve real world problems in Java.

Course Learning Outcomes (CLOs):

By the end of this course students will be able to:

CLO1	Identify the elements and benefits of object-oriented programming design.
CLO2	Describe the steps in creating an executable object-oriented program, including the intermediate representations and their purpose.
CLO3	Solve object-oriented programs for troubleshooting problems involving multiple objects and OOP features such as classes, encapsulation, polymorphism and inheritance.

CLO4

Write object-oriented solutions for solving problems ensuring the normal flow of

application when an exception occurs.

Mapping of Course Outcomes to Program Outcomes:

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

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CLO2

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CLO3

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CLO4

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Course Description:

SL No.	Course Content	CLOs
1.	Introduction to Object Orientation, Elements of Object Orientation, An Overview of Java. Comparison with C programming language and discussing on the syntax of Java to handle different elements in C Programming Language.	CLO1
2.	Introducing Classes, Objects and Constructor (Class Fundamentals, Declaring Objects, Assigning Object Reference Variables)	CLO1, CLO2
3.	Introducing Methods, This Keyword, Garbage Collection, the finalize () Method	CLO2
4.	Overloading Methods, Using Objects as Parameters, Returning Objects	CLO2
5.	Recursion in Java, Understanding Static, Introducing Final Keyword	CLO1, CLO2
6.	Nested and Inner class	CLO2, CLO3
7.	Exploring the String Class, Using Command -Line Arguments	CLO2
8.	Varargs: Variable-Length Arguments	CLO2, CLO3
9.	Inheritance Basics, Using Super, Creating a multilevel hierarchy	CLO2, CLO3
10.	Method overriding, dynamic method dispatch	CLO2, CLO3
11.	Using Abstract Classes, Using Final with Inheritance	CLO2, CLO3
12.	The Object Class, Package (defining package, importing package, access protection)	CLO1, CLO2
13.	Interfaces (Defining interface, implementing interfaces, accessing through interface reference, nested interface, interface variable, extending interface)	CLO2, CLO3
14.	Exception Handling (Fundamental mechanism, Exception Types, Try and Catch, displaying a description of an Exception, multiple catch	CLO4

clauses, nested try statements, use of throw, throws and finally keywords)

Textbooks, References & Other Resources:

Herbert Schildt, Java the Complete Reference, McGraw Hill,
Paul Deitel and Harvey Deitel, Java How to Program, Pearson,
Balagurusamy, Programming with Java A Primer, Tata Mcgraw-Hill Publishing, 2007.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests Assignments	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, One-minute paper, Problem-solving tasks
CLO2
CLO3
CLO4

Course Title: Object Oriented Programming Laboratory
Course Code: CSE 1116
Course Type: Core Course (Programming)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

The course focuses on the practical mastery of object-oriented concepts such as classes, objects, data abstraction, methods, method overloading, inheritance, polymorphism and exception handling.

Course Objectives:

The objectives of this course are-

Acquaint students with an Integrated Development Environment to compile and run Java
To apply the appropriate OOP techniques to solve computer programming problems when it is an appropriate methodology to use.
To enhance the skills of solving a range of real-world problems by introducing the hands-on exercise of the application of Object-Oriented Programming.

Course Learning Outcomes (CLOs):

By the end of this course students will be able to:

CLO1	Give examples in creating an executable object-oriented program, including the intermediate representations and their purpose.
CLO2	Use the benefits of object-oriented design by understanding when it is an appropriate methodology to use.
CLO3	Practice good OOP programming style and understand the impact of style on developing and maintaining Java programs.
CLO4	Implement object-oriented solutions for solving computer programming problems involving multiple objects including testing in an Integrated Development Environment.

Mapping of Course Outcomes to Program Outcomes:

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

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CLO2

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CLO3

√

CLO4

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Course Description:

SL No.	Course Content	CLOs
1.	Declaration of Classes, Objects and Constructor (Class Fundamentals, Declaring Objects, Assigning Object Reference Variables) and develop java programs using the elements.	CLO2
2.	Use of Methods: Overloading Methods, Using Objects as Parameters, Returning Objects. Using of the this Keyword, Garbage Collection and the finalize () Method when developing java programs.	CLO1, CLO2
3.	Implementation of Recursion in Java, Understanding Static, using Final Keyword for various purposes.	CLO1, CLO2
4.	Using Nested and Inner classes, Exploring the String Class, Using Command -Line Arguments when developing java programs.	CLO1, CLO2
5.	Using the Varargs: Variable-Length Arguments when it’s appropriate to use the concept when building java programs.	CLO1, CLO3
6.	Implementation of java Inheritance (Inheritance Basics, Using Super, creating a multilevel hierarchy, Method overriding, dynamic method dispatch, Using Abstract Classes, Using Final with Inheritance)	CLO1, CLO3, CLO4
7.	Implementation of Interfaces (Defining interface, implementing interfaces, accessing through interface reference, nested interface, interface variable, extending interface)	CLO1, CLO3, CLO4
8.	Implementation of Exception Handling (Fundamental mechanism, Exception Types, Try and Catch, displaying a description of an Exception, multiple catch clauses, nested try statements, use of throw, throws and finally keywords)	CLO1, CLO3, CLO4

Textbooks, References & Other Resources:

Herbert Schildt, Java the Complete Reference, McGraw Hill,
Paul Deitel and Harvey Deitel, Java How to Program, Pearson,
Balagurusamy, Programming with Java A Primer, Tata Mcgraw-Hill Publishing, 2007.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Follow Lab Manuals · Hands-on Experiments · Assignments · Report Writing	Written Tests/Quizzes, Final Performance Tests, Class Performance, Presentation, Final Viva/Oral Exam, Project Exhibition, Lab Reports
CLO2
CLO3
CLO4

Course Title: Competitive Programming
Course Code: CSE 1110
Course Type: Core Course (Programming)	Credits: 0.75
Status: Sessional	Pre-requisite: None

Course Rationale:

This course builds up the student’s ability to think logically and look up the solution of a given problem from different perspectives.

Course Objectives:

The objective of the course is to

Acquaint students with competitive programming and online judges.
Improve the ability of logical and mathematical thinking for solving
Improve the ability of working in a team by participating in competitive

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Recognize the concept and characteristics of online judges and programming contests.
CLO2	Implement different problem solving techniques
CLO3	Solve different types of problems efficiently using programming knowledge

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL NO.	Course Content	CLOs
1.	Introduction to different online judges	CLO1
2.	Error analysis in problem solving,	CLO3
3.	Solving some basic implementation and adhoc type problems	CLO3
4.	Understanding complexity related to problem solving from online judge	CLO3
5.	Bitwise operation, File Handling	CLO3
6.	Number Theory and related problems	CLO2, CLO3
7.	Types of containers and their implementation	CLO2, CLO3
8.	Solving geometry and string related problems	CLO, CLO3
9.	Guideline about more problem-solving ideas and techniques, Introduce with team contest and different online and onsite contests	CLO2, CLO3

Textbooks, References & Other Resources:

Antti Laaksonen, Guide to competitive programming, Springer,
Steven Halim and Felix Halim, Competitive Programming, Lulu,
Steven Skiena and Miguel A. Revilla, Programming Challenges, Springer, 2003

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs

Teaching-Learning Strategy

Assessment Strategy

CLO1

· Lectures/Instructions

· Follow Lab Manuals

· Hands-on Experiments

· Assignments

· Report Writing

· Group Work: Assignments, Discussions, Investigations

· Case Studies

Written Tests/Quizzes, Final Performance Tests, Class Performance, Presentation, Final Viva/Oral Exam, Lab Reports

Course Title: Digital Electronics and Pulse Technique
Course Code: EEE 2201
Course Type: Core Course (Hardware)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course is designed to develop the skills to analyze and design various digital electronics circuits and systems.

Course Objectives:

The objective of the course is-

To acquire the basic knowledge of digital logic levels and application of knowledge to understand digital electronics
To understand, analyze and design various combinational and sequential
To design and use diodes and transistors as switching
To construct the logic families, multi-vibrator circuits, and memory elements.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Describe the fundamental concept of digital electronics.
CLO2	Design and construct various combinational and sequential circuits.
CLO3	Translate descriptions of logical problems to efficient digital logic circuits.
CLO4	Compare performances of using different logic inverters and oscillators.
CLO5	Define the working principle of multi-vibrator circuits and memory elements.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

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CLO2

√

CLO3

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CLO4

√

CLO5

√

Course Description:

SL No.	Course Content	CLOs
1.	Diode Logic Gates, Transistor Switches, Transistor Gates, Open Collector and High Impedance Gates, MOS Gates;	CLO1
2.	Digital Logic Families: TTL, ECL, IIL, and CMOS Logic with Operation Details;	CLO4
3.	Characteristics of Digital ICs: Propagation delay, Power dissipation, Figure of Merit, Fan out, and Noise immunity;	CLO2

4.	Characteristics of Digital ICs: Electronic Circuits for Flip Flops, Counters and Register, Memory Systems, PLAs;	CLO2
5.	S/H circuits, A/D and D/A Converters with Applications;	CLO3
6.	Linear Wave Shaping, Diode Wave Shaping Techniques, Comparator Circuits, Switching Circuits;	CLO3
7.	Pulse Transformers, Pulse Transmission, Pulse Generation;	CLO5
8.	Monostable, Bi-stable, and Astable Multivibrator;	CLO5
9.	Optically Coupled Oscillators; Blocking Oscillators and Time-base Circuit;	CLO1, CLO4
10.	Timing circuits; Simple voltage sweeps, linear current sweeps.	CLO1, CLO5

Textbooks, References & Other Resources:

Morris Mano, Digital Logic and Computer Design, Pearson Education, 2004.
Albert Malvino and Jerald A. Brown, Digital Computer Electronics, Career Education, 1992.
Jacob Millman and Herbert Taub, Pulse, Digital and Switching waveforms, McGraw Hill Education, 2017
Jacob Millman, Microelectronics: Digital and Analog Circuits and Systems, McGraw Hill College, 1979.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, Venn diagrams, etc. · Tutorials · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One- minute paper, Problem-solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4
CLO5

Course Title: Digital Electronics and Pulse Technique Laboratory
Course Code: EEE 2202
Course Type: Core Course (Hardware)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

To be acquainted with integrated circuits, to design and implement digital circuits, and to be able to troubleshoot implemented circuits.

Course Objectives:

The objective of the course is-

To explain the elements of digital system abstractions such as digital representations of information and logic.
To use the "tools of the trade": basic instruments, devices, and design tools in circuit
To understand the basic digital circuits and verify their

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1

Assemble basic tools for the design and implementation of digital circuits and

systems.

CLO2

Manipulate the design of combinational and sequential logic circuits.

CLO3

Recall the fundamental concept that underlines the physical operation, analysis, and design of digital integrated circuits and systems.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL

No.

Course Content (Summary)

CLOs

1.

Laboratory work based on theory course Digital Electronics and Pulse Technique using physical devices.

CLO1 CLO2 CLO3

Textbooks, References & Other Resources:

J. Tocci, N. S. Widmer, and G. L. Moss, Digital Systems: Principles and Applications, Prentice Hall, 2003.
V. Hall, Microprocessors and Interfacing: Programming and Hardware, Glencoe McGraw-Hill, 1992.
P. Jain, Modern Digital Electronics, McGraw-Hill, 2018.
Jacob Millman and Herbert Taub, Pulse, Digital and Switching Waveforms, McGraw- Hill, 2017
David Bell, Solid State Pulse Circuits, Prentice Hall, 2007.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs

Teaching-Learning Strategy

Assessment Strategy

CLO1

· Lectures/Instructions

· Reading Materials/PPT slides containing flowcharts, graphs, diagrams, etc.

· Tutorials, E-Learning

· Whiteboard/Blackboard, Video, and audio examples

· Group Work: Assignments

Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, Problem-solving tasks

Course Title: Microprocessors and Microcontrollers
Course Code: EEE 3815
Course Type: Core Course (Hardware)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

Intended to enable the students to learn the fundamentals of microprocessor and embedded system. Use the acquired knowledge to understand the working and operations of embedded systems to solve the problems for industry opportunities.

Course Objective:

The objective of the course is to

Provide the knowledge of theoretical & empirical introduction to microcontrollers and microprocessors and assembly language programming techniques.
Help the students understand microprocessor and microcontrollers' elements and
Understand the basic knowledge of designing an embedded

Course Learning Outcomes (CLOs):

Upon successfully completing this course, students will be able to

CLO1

Explain the knowledge about microprocessor and microcontroller architecture,

interfacing, and operations.

CLO2

Evaluate the problems related to embedded systems and designs.

CLO3

Illustrate microprocessor and microcontroller-related circuitry and sensor interfacing.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction to microprocessor and microcontroller: Different generations of microprocessor and microcontroller, Overview of microprocessor function and architecture, Different types of Assembly instructions, Embedded and external memory concept of microcontroller, and Architectural features.	CLO1
2.	Hardware Specification of microprocessor: Pin diagram and pin functions, Clock generator, Timing diagram, Operational modes.	CLO3
3.	Memory Interface: Memory Pin connections, Memory Devices, Address decoding, Memory interfacing for microprocessors, Dynamic Ram.	CLO1 CLO3
4.	Interrupts: Basic Interrupt Processing, Hardware and software interrupts, Programmable Interrupt Controller.	CLO2
5.	Embedded Systems (ES), Sensor Interfacing and Controlling: Introduction to different types of embedded systems like Arduino, Raspberry Pi, etc., Operation of ES, Interfacing with Sensors, System driving/controlling.	CLO1 CLO3
6.	Modern Microprocessors and Embedded Systems: Modern microprocessor and ES overview, Future concepts of Microprocessors and ES, and their real-world applications.	CLO1

Textbooks, References & Other Resources:

Barry Brey, The Intel Microprocessor Architecture, Programming, and Interfacing, Prentice Hall, 2000.
Douglas Hall, Microprocessors and Interfacing: Programming and Hardware, McGraw-Hill, 1986.
Badri Ram, Advanced Microprocessor and Interfacing, McGraw Hill,
Rafiquzzaman, Microprocessor and Microcomputer Based System Design, CRC Press, 1995.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Assignments, Presentations	Clicker questions, Multiple Choice, Fill-in-the-blanks, True/False, Quizzes, Summary, Essay, Diagrams, Short Answers, Problem-solving tasks, Case studies, Analysis report
CLO2
CLO3
CLO4

Course Title: Microcontroller Laboratory
Course Code: EEE 3816
Course Type: Core Course (Hardware)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

This course intends to enable the students to realize the real-world microprocessor and embedded system implementation and analyze data by using assembly language.

Course Objectives:

The objective of the course is to

Acquaint students with the simulation tools and components of the microprocessor and
To develop the ability to program for embedded systems and test the physical characteristics of different components.
To develop some practical circuits that describe the basic phenomenon of embedded systems and circuits.
To provide design concepts and design issues of embedded

Course Learning Outcomes (CLOs):

Upon successfully completing this course, students will be able to

CLO1	Imitates to design embedded and electronic systems/networks.
CLO2	Modify embedded circuitry to examine their behavior in a system.
CLO3	Implement assembly language for embedded systems.
CLO4	Design microcontroller and embedded-based projects to solve real-world problems.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Microprocessors and Embedded System by using simulation tools, physical devices, and components.

CLO1, CLO2, CLO3

2.

Lab Report Writing: Objective, Introduction, Required Instruments Methodology, Sample Input/Output, Results and Discussions

CLO4

Textbooks, References & Other Resources:

Laboratory Manual

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Follow Lab Manuals · Hands-on Experiments · Assignments · Report Writing · Final Projects · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Written Tests/Quizzes, Final Performance Tests, Class Performance, Final Viva/Oral Exam, Project Exhibition, Lab Reports
CLO2
CLO3
CLO4

Course Title: Computer Organization and Architecture
Course Code: CSE 3737
Course Type: Core Course (Hardware)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to give students a solid foundation in modern computer system architecture, as well as how to apply these insights and concepts to future computer systems.

Course Objective:

The objective of the course is-

To understand the structure, function, and characteristics of computer
To identify the elements of modern instruction sets and their impact on processor

To develop skills to communicate with I/O devices and standard I/O
To accumulate basic ideas about hardware connection in the

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to-

CLO1

Illustrate computer architecture concepts related to the design of modern processors,

memories, and I/Os.

CLO2

Compares how computers represent and manipulate data.

CLO3

Evaluate system performance of commercial computers.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL No.	Course Content	Hrs.	CLOs
1.	Basic Computer Organization & Design: Instruction Codes, Addressing, Design of a Basic Computer, Instruction, Interrupt.	5	CLO1
2.	Central Processing Unit: General Register Organization, Stack Organization, Instruction Formats, Addressing Modes	4	CLO1
3.	I/O Organization: I/O Interface, Data Transfer, Priority Interrupt, DMA.	3	CLO1
4.	Memory Organization: Memory Hierarchy, Memory Mapping, Writing into Cache.	3	CLO1
5.	Instructions: Language of the computer Introduction, MIPS, Logical Operations	6	CLO2
6.	Computer Arithmetic: Algorithms for mathematical operation.	5	CLO2
7.	Assessing and Understanding Performance: CPU Performance and its Factors, Evaluating Performance.	6	CLO3
8.	Enhancing Performance with Pipelining: Pipelined Datapath, Control, Hazards.	4	CLO3
9.	Microprocessors: Characteristics of multiprocessors, Interconnection Structures, Cache Coherence	3	CLO3

Textbooks, References & Other Resources:

Morris Mano, Computer System Architecture, Pearson, 1992.
David Patterson, Computer Organization and Design, Morgan Kaufman, 2004.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, tables, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Assignment · Student Presentation	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Diagrams, Presentation, Short Answers, Problem-solving tasks, Analysis report, Review report
CLO2
CLO3
CLO4

Course Title: Discrete Mathematics and Number Theory
Course Code: CSE 1411
Course Type: Core Course (Logics and Algorithms)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course will introduce the basic elements of discrete mathematics for an understanding of algorithms and data structures used in computing.

Course Objectives:

The main objectives of this course are:

Acquaint students with a good understanding of the concepts and methods of discrete mathematics.
Helping the students to develop ability in evaluating elementary mathematical arguments and analyzing
Helping the students to apply appropriate mathematical concepts and operations to interpret data in problem solving.
Foster the students to enhance logical thinking for demonstrating the basic

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Explain correct notations of logical arguments.
CLO2	Implement mathematical proofs in elementary number theory using discrete mathematics examples.
CLO3	Illustrate graph theory models of data structures for solving connectivity and constraint satisfaction problems.

CLO4

Use the asymptotic behavior of functions including recursive solutions to evaluate

algorithms.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content	CLOs
1.	Logical definitions and arguments, and counting techniques	CLO1
2.	Basic number theory and cryptography	CLO2
3.	Graph theory problem and applications	CLO3
4.	Recurrence relations and recursive algorithm, and growth of functions.	CLO4

Textbooks, References & Other Resources:

Kenneith Rosen, Discrete Mathematics: Richard Johnson, McGraw Hill, 2011.
Richard Johnsonbaugh, Discrete Mathematics, Pearson,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Assignments · Discussions	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Short answers, Diagrams, Presentation, Problem-solving tasks
CLO2
CLO3

Course Title: Data Structures
Course Code: CSE 1413
Course Type: Core Course (Logics and Algorithms)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

Data structure provides a good understanding for organizing and storing data in a computer such that it can be stored, retrieved, and updated frequently.

Course Objectives:

The main objectives of this course are to:

Make the students understand the data structures and their
Facilitate necessary knowledge about the importance of data structures in the context of writing efficient programs.
Develop the ability to implement appropriate data structures in problem solving.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Interpret the basic concepts of data structures, their types and basic operations.
CLO2	Summarize the strength and weaknesses of different data structures.
CLO3	Prepare skills to efficiently store and process data.
CLO4	Organize the appropriate data structures in the context of the solution to any given problem.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction to Data Structures, Basic Operations, and Performance Measurement.	CLO1
2.	Introduction to Array, Search, and Sorting Strings: Pattern Matching Algorithm (Naive and KMP).	CLO2, CLO3, CLO4
3.	Types of Linked List and Basic Operations on Linked List.	CLO2, CLO3
4.	Basic Operations on Stack and Use of Recursion Types of Queue and Basic Operations on Queue.	CLO1, CLO4
5.	Types of Trees, Representation of Tree, Binary Search Tree, Balanced Search Tree, Efficient Heap, Segment Tree, Prefix Tree (trie)	CLO1, CLO4

6.	Graph Representation, Traversing Graph, Topological Sorting, Path Matrix, Naive and Warshall Algorithm.	CLO1, CLO3, CLO4
7.	Hash Function and its Application.	CLO2, CLO3

Textbooks, References & Other Resources:

Seymour Lipschutz, Data Structures, McGraw-Hill,
Debasis Samanta, Classic Data Structures, Prentice-Hall of India Private Limited,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Assignments · Discussions	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Short answers, Diagrams, Presentation, Problem-solving tasks
CLO2
CLO3
CLO4

Course Title: Data Structure Laboratory
Course Code: CSE 1414
Course Type: Core Course (Logics and Algorithms)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

To practically implement as well analyze the various data structures and basic algorithm analysis.

Course Objectives:

The main objectives of this course are to:

Help the students to understand the analysis and design of linear and non-linear data structures in the context of writing efficient programs.
Develop the ability in identifying and applying the suitable data structure for the given real- world problem.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Describe the operations of basic data structures.
CLO2	Classify the appropriate data structure to solve specific problems.
CLO3	Solve problems or improve existing code using learned data structures

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Data Structure.

CLO1, CLO2 CLO3

Textbooks, References & Other Resources:

Seymour Lipschutz, Data Structures, McGraw-Hill,
Debasis Samanta, Classic Data Structures, Prentice-Hall of India Private Limited,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	● Lectures/Instructions ● Follow Lab Manuals ● Hands-on Experiments ● Assignments ● Report Writing ● Presentations	Written Tests/Quizzes, Final Performance Tests, Class Performance, Presentation, Final Viva/Oral Exam, Lab Reports
CLO2
CLO3
CLO4

Course Title: Algorithms
Course Code: CSE 2415
Course Type: Core Course (Logics and Algorithms)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course introduces students to the general tools and techniques for analyzing and designing computer algorithms.

Course Objectives:

The main objectives of this course are:

Acquaint students with the major algorithms and data
Foster the analytical and critical analysis of algorithmic design paradigms and
Apply the knowledge of asymptotic performance of
To facilitate necessary knowledge about algorithms in common engineering design

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Interpret numerous algorithmic design paradigms and computational methods.
CLO2	Classify the computational complexities and efficiency of various algorithms.
CLO3	Implement efficient algorithms in common engineering design situations.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL

No.

Course Content

CLOs

1.

Fundamental Algorithm Paradigms:

Deterministic and nondeterministic algorithm, Divide and conquer algorithms, Dynamic Programming, Concepts of Linear Programming, Greedy algorithms, Minimum Spanning Tree, Single Source Shortest path algorithms, Incremental Improvement, Backtracking, Assignment Problem, Branch & Bound and Approximation Problem.

CLO1

2.

Complexity Analysis and Evaluation:

Space and time complexity, Order of growth, Recurrences relations, Amortization, Complexity classes.

CLO2

3.

Real time applications and complexity comparison for engineering problems.

CLO3

Textbooks, References & Other Resources:

Thomas Cormen, Introduction to Algorithms, MIT Press, 2009.
Sartaj Sahni and Sanguthevar and Rajasekaran Ellis Horowitz, Fundamentals of Computer Algorithms, Orient Black Swan, 2008.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	● Lectures/Instructions	Clicker questions, Multiple
CLO1	● Reading Materials/PPT slides	Choice, Fill-in-the-blanks,
CLO2	● Reading Materials/PPT slides	Choice, Fill-in-the-blanks,
	containing flowcharts, graphs, diagrams,	Label, Match, True/False,
	charts, tables, Venn diagrams, etc. ● Flipped classroom	Quizzes, Summary, Diagrams, Presentation, Short Answers,
CLO3	charts, tables, Venn diagrams, etc. ● Flipped classroom	Quizzes, Summary, Diagrams, Presentation, Short Answers,
	● Whiteboard/Blackboard, Video	Problem-solving tasks
	and audio examples
	● On the spot class/quiz tests
	● Student Presentation
	● Assignments
	· Discussions

Course Title: Algorithms Laboratory
Course Code: CSE 2416
Course Type: Core Course (Logics and Algorithms)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

To practically implement basic algorithms, as well as to analyze the runtime and memory use.

Course Objectives:

The main objectives of this course are:

General Understanding of Basic
Developing Programming Skills for Solving Real Time Problem using Algorithm
Conduct experiments to get a sense of the time and storage (memory) efficiency of the program codes.
Demonstrate advantages and disadvantages of specific

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1

Discuss the appropriate data structures and algorithm paradigms.

CLO2	Implement the appropriate algorithms in different situations (randomized, iterative, recursive, dynamic, greedy, graph, backtracking, branch and bound).
CLO3	Illustrate efficiency of algorithms (asymptotic notation) and argue the correctness of algorithms.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL

No.

Course Content

Hrs.

CLOs

1.

Laboratory work based on theory course Algorithm Design and Analysis.

33

CLO1 CLO2 CLO3

Textbooks, References & Other Resources:

Thomas Cormen, Introduction to Algorithms, MIT Press, 2009.
Sartaj Sahni and Sanguthevar and Rajasekaran Ellis Horowitz, Fundamentals of Computer Algorithms, Orient Black Swan, 2008.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	● Lectures/Instructions ● Follow Lab Manuals ● Hands-on Experiments ● Assignments ● Report Writing ● Presentations	Written Tests/Quizzes, Final Performance Tests, Class Performance, Presentation, Final Viva/Oral Exam, Lab Reports
CLO2
CLO3
CLO4

Course Title: Database Management System Course Code: CSE 2221

Course Type: Core Course (Software Engineering) Credits: 03

Status: Theory Pre-requisite: None

Course Rationale:

This course will cover the principles of relational database management systems, as well as recent advances in database theory and practice.

Course Objective:

The objectives of the course are

To make the students understand the different issues involved in the design and implementation of a database system in a modern information system.
To acquaint students with database modeling techniques/tools of the modern
To learn various techniques for managing a database-oriented system.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO 1	Demonstrate the basic concepts and advantages of DBMS.
CLO 2	Use query languages to perform different database operations.
CLO3	Design a database from various use case scenarios.
CLO4	Explain the terms related to the management and security of the modern database system.
CLO5	Use the knowledge of advanced SQL to work in the database layer.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

CLO6

Course Description:

SL

No.

Course Content

CLOs

1.

Introduction to DBMS

Purpose, Advantages, Data Models, Database Languages, Architecture, Users and administrators

CLO1

2.

Relational data Model:

Structure, Schema, Keys, Schema Diagrams, Relational operations

CLO1

3.	Introduction to SQL Basic Structure, Operations, Null values, Aggregate function, Nested Subqueries	CLO2
4.	Intermediate and Advanced SQL Join expressions, views, Integrity Constraints, Functions and Procedures, Triggers	CLO2, CLO5
5.	Formal Relational Query Languages Relational Algebra	CLO2
6.	Entity-Relationship model E-R model, Constraints, E-R diagrams, Extended E-R features	CLO3
7.	Logical Database Design Transforming EER diagrams into relations, Normalization, Functional Dependencies	CLO3
8.	Indexing and Hashing B+ Tree, Static and Dynamic Hashing	CLO4
9.	Transaction and Recovery System: ACID properties, Transaction states, Deadlock, Database security: encryption, authentication, authorization, access control, password management. Etc.	CLO4

Text Books, Reference Books and Other Resources:

Abraham Silberschatz, Henry Korth, and S. Sudarshan Database System Concepts, McGraw-Hill, 2013.
Jeffrey Hoffer, V. Ramesh, and Heikki Topi, Modern Database Management, Pearson, 2012.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers.
CLO2
CLO3
CLO4
CLO5

Course Title: Database Management System Laboratory Course Code: CSE 2222

Course Type: Core Course (Software Engineering) Credits1.5

Status: Sessional Pre-requisite: None

Course Rationale:

This course is designed to introduce the concept of real-world database design through the implementation of a database-driven real-time project.

Course Objective:

The objectives of the course are

To facilitate necessary knowledge about the design of a database based on various
To develop a real-world database application.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Design database schemas for real world database driven applications.
CLO2	Prepare E-R models and normalize the design of the database.
CLO3	Write SQL queries for performing different database operations.
CLO4	Implement a simple and effective database driven software system.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction to development tools, HTML, CSS, UI design, IDEs, Xampp/Wamp server installation.	CLO1
2.	Making E-R diagram of class project and apply normalization techniques to finalize the database design.	CLO2
3.	Database Table creation using SQL, NoSQL	CLO3
4.	Writing queries and sub queries to view or fetch data, joining tables, views, triggers, SQL functions/procedures.	CLO3
5.	Development of insert, update and delete panels of class project with lab reports.	CLO4

Text Books, Reference Books and Other Resources:

Abraham Silberschatz, Henry Korth, and S. Sudarshan Database System Concepts, McGraw-Hill, 2013.
Jeffrey Hoffer, V. Ramesh, and Heikki Topi, Modern Database Management, Pearson, 2012.
Steven Holzner, The Complete Reference PHP 2, McGraw-Hill, 2007.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Hands-on Experiments · Assignments · Report Writing · Final Projects · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Written Tests/Quizzes, Final Performance Tests, Class Performance, Presentation, Final Viva/Oral Exam, Project Exhibition, Lab Reports
CLO2
CLO3
CLO4

Course Title: Information System Design
Course Code: CSE 3211
Course Type: Core Course (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

The main goal of this course is to provide students with a solid background in information systems analysis and design techniques through a combination of theory and practice. It introduces the vital logical and design considerations addressed during system and application software development.

Course Objectives:

The objective of the course is

To understand basic ideas about designing an information system for various applications
To develop skills in converting words into a manageable software requirements specification
To achieve the skill of modeling different types of information

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Construct requirements specification document (SRS) for a real-world problem
CLO2	Model an information system from various use case scenarios

CLO3	Design user interface for specific information systems.
CLO4	Prepare (A3) a report to illustrate the overall process of information system analysis, modeling, design and implementation

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL NO

Course Content

CLOs

1.

Laboratory work based on theory course Information System Analysis and Design

CLO1, CLO2, CLO3, CLO4

Textbooks, References, and Online Resources:

Rajaraman, Analysis and Design of Information Systems, Prentice Hall, 2011
Arthur Langer, Analysis and Design of Information Systems, Springer.
James Senn, Analysis and Design of Information Systems, McGraw-Hill, 1989.
Craig Larman, Applying UML and patterns, Prentice Hall PTR,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4

Course Title: Information System Design
Course Code: CSE 3211
Course Type: Core Course (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

The main goal of this course is to provide students with a solid background in information systems analysis and design techniques through a combination of theory and practice. It introduces the vital logical and design considerations addressed during system and application software development.

Course Objectives:

The objective of the course is

To provide the knowledge required to analyze and design information systems
To compare and choose intelligently from different methods and techniques of systems analysis and design
To develop skills to build a secured and user-friendly information system

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Describe the principles, concepts, and practice of system analysis and design process.
CLO2	Identify appropriate solutions based on the knowledge of different approaches to system analysis
CLO3	Prepare an information system from various use case scenarios
CLO4	Implement a user-friendly system that will be secured from all concerns

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL NO.	Course Content	CLOs
1.	Introducing system analysis and design: Overview, varieties of information system, quality of information, life cycle.	CLO1
2.	Requirements analysis: Tools, requirement analysis techniques, working procedure.	CLO1
3.	System Requirement Specification: Techniques, steps, and notations, data dictionary, data flow diagram.	CLO1, CLO2
4.	Feasibility Analysis: Goals, examining alternative solutions, evaluating proposed solutions, cost- benefit analysis.	CLO2
5.	Process Specification: Method, pros, and cons.	CLO3
6.	Design and Modeling: Types, notations, purpose, logical database design, different UML diagrams with notations	CLO3
7.	Data input methods: Coding techniques, detection of an error in the codes, validating input data, interactive data input	CLO4
8.	Designing Outputs: Output devices, design of output reports, design of screens, use of business graphics	CLO4
9.	Control, Audit and Security of Information Systems: Objectives, auditing, testing, and security.	CLO4

Textbooks, References, and Online Resources:

Rajaraman, Analysis and Design of Information Systems, Prentice Hall, 2011
Arthur Langer, Analysis and Design of Information Systems, Springer.
James Senn, Analysis and Design of Information Systems, McGraw-Hill, 1989.
Craig Larman, Applying UML and patterns, Prentice Hall PTR,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4

Course Title: Software Engineering Course Code: CSE 3233

Course Type: Core Course (Software Engineering) Credits: 03

Status: Theory Pre-requisite: None

Course Rationale:

This course is designed to provide the students adequate knowledge to systematically organize a software project to ensure the highest customer satisfaction.

Course Objective:

The objective of the course is

To ensure the students are competent, proficient, and knowledgeable software engineers who will contribute to all the phases of software
To put emphasis on modeling a software product from the given specification
To develop secured and budget-oriented software products in an organized way

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Summarize different aspects of software engineering
CLO2	Use appropriate software process models based on the constraints of available resources and requirement specification
CLO3	Apply techniques required for software architecture design
CLO4	Execute software testing methods in different phases of developing a software product
CLO5	Measure complexity of a software product using the available methods
CLO6	Prepare alternatives to tackle the uncertainty during the development of a software product

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

CLO6

√

Course Description:

SL No.	Course Content	Hrs.	CLOs
1.	Introduction: Basic terms, failure curves, software applications, legacy software, umbrella activities	1.5	CLO1
2.	Software Process Models: Framework activities, process vs models, different types of models, working principles, pros and cons	6	CLO2
3.	Agile Development: Principles, agility, human factors, different agile models with features and their pros and cons	3	CLO2
4.	Software Architecture: Architecture design of software structure and components, top-level database design, user documentation, evaluation, joint reviews, review participants and methods	6	CLO3
5.	Software Testing: Methods, testing techniques, principles, various types	6	CLO4
6.	Process and project metrics: Different measurements, metrics for software quality, integration metrics with software process	4.5	CLO5
7.	Estimation for software products: Project planning, resources, decomposition techniques, empirical estimation models, specialized techniques	4.5	CLO5
8.	Risk management and Quality: Software risks identification, projection, refinement, mitigation, monitoring, management, software quality assurance	4.5	CLO5

Text Books, Reference Books and Other Resources:

S. Pressman and Bruce Maxim, Software Engineering: A Practitioner’s Approach, McGraw Hill, 2014.
Martin Shooman, Software Engineering, McGraw-Hill, 1984.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, diagrams, charts, tables, etc. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations	Quiz, Summary, Short Answer, Essay, Diagrams, Short Answers, Problem-solving tasks, Analysis report
CLO2
CLO3
CLO4
CLO5
CLO6

Course Title: Software Engineering Laboratory
Course Code: CSE 3234
Course Type: Core Course (Software Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

This course is designed to provide students necessary knowledge of software engineering to apply them in modeling real-world software.

Course Objective:

The objective of the course is

To make students aware of the various processes that are being used in the job
To ensure that students can coordinate with the whole team when developing a software
To teach students how to specify the features of a system

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Interpret appropriate software development process models for a specific task
CLO2	Organize a software project using collaboration tools and version control systems
CLO3	Use tools and methods for various software engineering tasks like modeling, estimation, and testing
CLO4	Write an individual or group report that will cover all the working process of a system

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Software Engineering

CLO1, CLO2, CLO3

2.

Design Project: Problem analysis, Scope identification, Modelling, Presentation, and Report

CLO4

Text Books, Reference Books and Other Resources:

S. Pressman and Bruce Maxim, Software Engineering: A Practitioner’s Approach, McGraw Hill, 2014.
Martin Shooman, Software Engineering, McGraw-Hill, 1984.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video, and audio examples · Group Work: Assignments	Clicker questions, Multiple Choice, Fill- in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, Problem- solving tasks
CLO2
CLO3
CLO4

Course Title: Mobile Application Development Course Code: CSE 2210

Course Type: Core Course (Software Engineering) Credits: 1.5

Status: Sessional Pre-requisite: None

Course Rationale:

This course is intended to teach the fundamental concepts of mobile applications as well as to build skills and methodologies for designing and implementing mobile applications.

Course Objective:

By the end of the course, students will be able to:

Demonstrate technical fluency in different mobile application development tools.
Design and develop mobile applications using a chosen application development
Improve their ability to work teamwise on mini-projects.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Identify different mobile OS and modern tools for developing mobile applications.
CLO2	Show working knowledge of UI design and different data storage options for mobile application development.
CLO3	Apply different components which are required to build a mobile application.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Course Description:

SL No.	Course Content	Hrs.	CLOs
1.	Introduction to Mobile Application Development: Different OS for mobile devices, environment configuration	3	CLO1
2.	Building UI Interface: Views, Widgets and Layouts, Sizing and positioning, dynamic UI and fragments, handling events	3	CLO2
3.	Data Storage: Various data storage techniques	6	CLO2
4.	Activities and Intents: Handling different activities and intents	4	CLO3
5.	Multithreading: Handling concurrent tasks	3	CLO3
6.	Networking and Communication: Sockets, API interaction	3	CLO3
7.	Localization and Supporting Different Devices: Incorporating different languages, Coping with various screen sizes, WebView	3	CLO3
8.	Location Aware Applications: Integrating location-based services	3	CLO3
9.	Mini Project	6	CLO1, CLO2, CLO3

Text Books, Reference Books and Other Resources:

John Horton, Android Programming for Beginners, Packt Publishing,
Reto Meier and Ian Lake Professional Android, Wrox,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Follow Lab Manuals · Hands-on Experiments · Assignments · Report Writing · Final Projects · Group Work: Assignments, Discussions, Investigations, Presentations	Quizzes, Final Performance Tests, Class Performance, Presentation, Final Viva/Oral Exam, Project Exhibition, Lab Reports
CLO2
CLO3

Course Title: Internet Programming
Course Code: CSE 3210
Course Type: Core Course (Software Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

The course is designed to provide students an overview of Internet technology as well as hands- on experience with client-side and server-side technologies, web protocols. The students will have gained preliminary knowledge to pursue careers in web-based track.

Course Objectives:

The objective of the course is-

To understand basic ideas of internet programming and various latest technologies
To apply the knowledge of various web programming languages in solving the real- world problems
Getting an idea about content management systems to quickly develop web application

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Explain the basic terms of internet programming
CLO2	Apply the knowledge in developing responsive web applications
CLO3	Interpret client-side and server-side technologies to develop web application
CLO4	Develop dynamic websites using content management system (CMS)

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

√

Course Description:

SL No.	Course Content	Hrs.	CLOs
1.	Introduction: website-related terminologies, technologies, difference between web design and development, concept of search engine	3	CLO1
2.	HTML and CSS: HTML tags, XHTML, DTD, SGML, CSS, XSL, responsive applications, preprocessor scripting language, latest CSS frameworks	6	CLO2
3.	JavaScript and jQuery: basic syntax, ES6, objects, events, traversing, handling user inputs, XML and JSON, SOP, SAX, AJAX request	6	CLO3
4.	Server-sided Technologies: familiarization with different server- side scripting languages, basic syntax, establish a database connection, executing queries, creating JSON response, socket programming,	6	CLO3
5.	E-commerce and Content Management System (CMS): E- commerce business, CMS to build a website, E-commerce Website using CMS	6	CLO4
6.	Mini Project: analysis, scope identification, report preparation	6	CLO1, CLO2, CLO3

Textbooks, References & Other Resources:

Ben Frain, Responsive Web Design with HTML5 and CSS: Develop future-proof responsive websites using the latest HTML5 and CSS techniques, Packet Publishing,
Jon Duckett, JavaScript and JQuery: Interactive Front-End Web Development, Wiley, 2014
Frank Kromann, Beginning PHP and MySQL: From Novice to Professional, Apress, 2018.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, Problem-solving tasks, Analysis report, Review report
CLO2
CLO3
CLO4

Course Title: Computer Fundamental and Ethics
Course Code: CSE 1111
Course Type: Core Course (Systems)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

To introduce the most-up-to-date technology in an ever-changing discipline.

Course Objectives:

The main objectives of this course are:

To introduce the fundamentals of computer
To introduce the basic use of computer hardware and software, networking, and the
To help students hands-on use of: Word processing, Spreadsheet, and Presentation
To familiarize with number systems.
To introduce ethical and privacy issues in cyber

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Identify the fundamental elements of a computer system.
CLO2	List the basic use of computing and internet technologies.
CLO3	Practice word processing, spreadsheet, and presentation application for performing basic tasks.
CLO4	Classify number systems and their applications in computing.
CLO5	Define Computer ethics and privacy issues of computing and cyber world.
CLO6	Write an individual or group report to disseminate the experiment execution process and findings.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

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CLO2

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CLO3

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CLO4

√

CLO5

√

CLO6

√

Course Description:

SL No.	Course Content (Summary)	CLOs
1.	Introduction to Computers: Overview of Computer system, Major components of a computer	CLO1
2.	Software: Operating system, application software, Business software	CLO2
3.	Trending technologies: Communication and Networking, Internet and WWW (world wide web), Internet services, social networking, Artificial Intelligence, Machine learning, IOT, Robotics, Cloud computing, Computer application in society	CLO2
4.	Office applications: Word processing, Spreadsheet, and Presentation.	CLO3
5.	Number system: Decimal, Binary, Octal, Hexa-decimal, BCD, packed decimal number, and their conversion, Signed and unsigned number, Precision and floating-point number. Character Representation: ASCII code, EUC Code, JIS code, shift JIS, Unicode	CLO4
6.	Ethics and privacy: Computer Crime; Information privacy, Ethical issues of software, Social media and IT Enabled Services (ITeS) usages; Safety and security issues in cyber world; Intellectual property right, Copyright, Patent, Plagiarism,	CLO4

Text Books, Reference Books and Other Resources:

Gary Shelly and Misty E. Vermaat, Discovering Computers: Fundamentals: Your Interactive Guide to the Digital World, Course Technology Ptr, 2012.
Peter Norton, Introduction to Computers, Mc Graw Hill India,
Mark Minasi, Quentin Docter, and Faithe Wempen, The Complete PC Upgrade and Maintenance Guide – Mark Minasi, Sybex, 2005.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	● Lectures/Instructions	Clicker questions, Multiple
	● Reading Materials/PPT slides	Choice, Fill-in-the-blanks, Label,
CLO2
	containing flowcharts, graphs, diagrams,	Match, True/False, Quizzes,
	charts, tables, Venn diagrams, etc.	Summary, Diagrams,
CLO3
	● Flipped classroom	Presentation, Short Answers,
CLO4	● Whiteboard/Blackboard, Video	Problem-solving tasks
	and audio examples

CLO5	● On the spot class/quiz tests ● Student Presentation
	Assignments Discussions

Course Title: Operating Systems Course Code: CSE 3733

Course Type: Core Course (Systems) Credits: 03

Status: Theory Pre-requisite: None

Course Rationale:

This course provides a comprehensive understanding of the modern Operating System and examines the ways that design goals can be achieved.

Course Objectives:

The objectives of the course are,

To enhance students' understanding of the function and structure of operating systems
To facilitate necessary knowledge about how the system interacts and provides services for execution of application software.
To evaluate underlying hardware, virtual memory, and concurrency and
To enable them to illustrate key operating system aspects by concrete example, and prepare them for future

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Describe the basic structure, characteristics of a modern operating system, concept for virtualization, cloud and multiple processor systems.
CLO2	Explain the different process and thread synchronization methods and the tradeoffs between them.
CLO3	Assess the algorithms on which the functions of the Operating Systems are built on.
CLO4	Compare different types of memory-management schemes for a system.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction: Introduction of Operating System, Operating system structure, Operating system Kernel, language processors, Operating systems hardware interaction,	CLO1
2.	System Structures: Operating-System Services, System Calls, Virtual Machines, Mobile Operating System.	CLO1
3.	Process: process management, process model and implementation, Inter-Process Communication, Semaphores, client/server processing	CLO2
4.	CPU Scheduling: Different CPU scheduling algorithms.	CLO3
5.	Multithreaded Programming: Multicore Programming, Multithreading Models	CLO2
6.	Memory management: Memory allocation schemes, demand paging, page replacement strategies,	CLO4
7.	Deadlock: resource allocation and deadlock, Banker’s algorithm, mixed approach to deadlock handling.	CLO3
8.	File Systems: File management systems, Design and implementation methodology directories.	CLO1
9.	Virtualization: Types and techniques for efficient virtualization, Clouds as a service, virtual machine migration, Check pointing.	CLO1
10.	Cloud:	CLO1
11.	Multiple Processor Systems: Multiprocessor, Multicomputer, Distributed Systems	CLO1
12.	Operating system security and protection, case study of some operating systems.	CLO1

Text Books, Reference Books and Other Resources:

Greg Gagne, Peter Galvin, And Abraham Silberschatz, Operating System Concept, Wiley, 2012.
Andrew Tanenbaum and Herbert Bos, Modern Operating Systems, Pearson, 2014.
William Stallings, Operating System, Pearson Prentice Hall,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing diagrams, charts, tables, etc. · Tutorials, E-Learning · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill- in-the-blanks, Label, Match, True/False, Quizzes, Summary, Diagrams, Presentation, Short Answers, One-minute paper, Problem-solving tasks, Case studies, Analysis report, Review report
CLO2
CLO3
CLO4

Course Title: Operating Systems Laboratory Course Code: CSE 3734

Course Type: Core Course (Systems) Credits: 1.5

Status: Sessional Pre-requisite: None

Course Rationale:

To understand the basic components of a computer operating system, and the interactions among the various components on the policies.

Course Objectives:

The objectives of the course are,

To learn the fundamental operations of various Operating
To familiarize students with the architecture of an
To provide necessary skills for configuring servers and automate tasks by using shell

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Explain and use different commands for basic system operation.
CLO2	Describe the basic modules of OS.
CLO3	Formulate tasks through algorithms.
CLO4	Interpret directory operation using GUI & Terminal.
CLO5	Prepare different servers (such as DNS, FTP, Email, etc.) through the knowledge gained in this course.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Operating Systems

CLO1 CLO2 CLO3

CLO4 CLO5

Text Books, Reference Books and Other Resources:

Sander Van Vugt, Red Hat Enterprise Linux 6 Administration,
John Horton, Android Programming for Beginners, Packt Publishing,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video, and audio examples · Group Work: Assignments	Clicker questions, Multiple Choice, Fill-in- the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, Problem-solving tasks
CLO2
CLO3
CLO4
CLO5

Course Title: Computer Networks Course Code: CSE 3567

Course Type: Core Course (Systems) Credits: 03

Status: Theory Pre-requisite: None

Course Rationale:

This course aims to introduce the basic concept and essential knowledge of computer networks.

Course Objectives:

The objective of the course is to enable the students to

Develop an understanding of computer networking fundamentals, networking components, basic networking taxonomy and terminology.
Become familiar with different network topologies, networking and routing protocols, network operations, state-of-the-art developments and applications.
Understand the computer communication models and layered communication
Introduce advanced topics such as error detection techniques, network security, network management, multimedia networking protocols, and/or other topics.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Interpret the OSI and TCP/IP layered architecture, network organization, and the operations of the key networking components.
CLO2	Describe the functionalities of different routing and transport layer protocols, congestion control mechanisms, IP packet contents, and error detection.
CLO3	Demonstrate the performance of different routing and transport protocols, solutions for error control and flow control problems.
CLO4	Practice the acquired knowledge to implement wired/wireless networks and sub- networks, routing protocols, security principles to networking, etc.
CLO5	Solve network applications and theoretical solutions to address networking and security requirements.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL No.	Course Content	CLOs
1.	Computer Networks & the Internet, concepts of delay, security, and Quality of Service (QoS).	CLO1
2.	Application Layer: Web/HTTP, FTP, eMail, DHCP, DNS, SMTP, PO3, and P2P applications, Socket Programming: Creating Network Applications	CLO1, CLO5
3.	Transport Layer: UDP, TCP, Congestion Control, etc.	CLO2, CLO3,
4.	Network Layer: IP, IPV6, and link-state and distance vector routing algorithms and protocols, CORBA (distributed object technology).	CLO2, CLO3
5.	Link Layer: Errors, Multiple Access, Media Access control, Addressing, Switching	CLO2, CLO4
6.	Wireless Networks and Security	CLO4, CLO5

Text Books, Reference Books and Other Resources:

Jim Kurose and Keith Ross, Computer Networking: a Top-Down Approach, Pearson,
Behrouz Forouzan, Data communication and Networking, McGraw Hill, 2012.
Andrew Tanenbaum, Computer Networks, Prentice Hall, 1996.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing diagrams, charts, tables, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Multiple Choice, Fill-in-the-blanks, True/False, Quizzes, Summary, Diagrams, Presentation, Short Answers, Problem- solving tasks, Case studies, Analysis report.
CLO2
CLO3
CLO4
CLO5

Course Title: Computer Networks Laboratory Course Code: CSE 3568

Course Type: Core Course (Systems) Credits: 1.5

Status: Sessional Pre-requisite: None

Course Rationale:

This subject aims to teach an understanding of computer networks and systems design through hands-on lab works and analysis with real world applications.

Course Objectives:

The objective of the course is to enable the students to

Understand and implement the functionalities of major networking components, network topologies, and
Become familiar with configuration of networking and routing protocols, network operations, state-of-the-art developments and applications.
Administer advanced topics such as WLAN, network security, threats mitigation, security best practices, network management, and/or other

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Describe basic networking and end devices to install a home or small business network, then connect it to the Internet.
CLO2	Execute different application, distance vector and link-state routing protocols, and transport layer protocols
CLO3	Implement threats and enhance network security using access control lists and security best practices.
CLO4	Use the acquired knowledge to verify and troubleshoot network and Internet connectivity.
CLO5	Organize critical thinking and real-world network problem-solving skills using real equipment and simulation

Mapping of Course Outcomes to Program Outcomes-

PLO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Computer Networks

CLO1 CLO2

CLO3 CLO4

CLO5

Text Books, Reference Books and Other Resources:

CCNA 1 v7: Introduction to
CCNA 2 v7: Switching, Routing, and Wireless Essentials.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video and audio examples · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Multiple Choice, Fill-in-the-blanks, True/False, Quizzes, Summary, Presentation, Short Answers, Problem-solving tasks, Case studies, Analysis report.
CLO2
CLO3
CLO4
CLO5

Course Title: Artificial Intelligence
Course Code: 3317
Course Type: Core Course (Systems)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course introduces the basic concepts and techniques of Artificial Intelligence (AI) to creating software and hardware to get computers to do things that would be considered intelligent as if people did them.

Course Objective:

The objective of the course is:

To introduce students with AI’s fundamental problems, and the state-of-the-art
To appreciate the role of knowledge representation, logic, and language in understanding human intelligence from a computational perspective.
To help students conceptualize the far-reaching goal of AI in shaping our future.
To expose students to the frontiers of AI-intensive computing while providing a sufficiently strong foundation to encourage further research.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1	Interpret the key components and classical searching algorithms of AI to solve various real-life problems.
CLO2	Examine game theoretical concepts and knowledge Representation techniques for solving non-conventional real-life situations.
CLO3	Investigate statistical methods and Machine Learning techniques for solving complex AI related problems
CLO4	Use Natural Language Processing methods for real-life problem solving

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

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CLO2

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CLO3

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CLO4

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CLO5

CLO6

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction and Scope: AI and its Subfields with Applications, Intelligent Agents, Environment	CLO1
2.	Search: Solving problem by searching, Uniformed/Blind and Informed search strategies, Local Search Strategies, Constraint Satisfaction Problems;	CLO1
3.	Game theory: Games and adversarial search, Games vs. single-agent search, Game tree, Alpha-beta pruning, Nash Equilibrium and Mixed Strategy equilibrium	CLO2
4.	Knowledge Representations: First-Order Logic, Predicate Logic and Generalized Quantifier Theory, Knowledge Engineering in First-Order Logic, Planning, The Planning Problem, Planning Algorithms	CLO2
5.	Reasoning: Rule-Based Expert Systems, Uncertainty, Probabilistic Reasoning over time, Hidden Markov Models.	CLO3
6.	Learning: Introduction to Learning, Learning from Observations, Knowledge in Learning, Statistical Learning Methods, Bayesian learning, Genetic Algorithms, Reinforcement Learning	CLO3
7.	Natural Language Processing (NLP): Introduction, Intuitions, Application Fields, Syntactic Structures, Grammar formalism, CFG’s, Meaning Representation (Semantics), Language Models (char/word n-grams), Computational Distributional Semantics (Embeddings), Machine Translation.	CLO4

Text Books, Reference Books and Other Resources:

Winston, Patrick "Artificial Intelligence." 3rd ed. Addison-Wesley, 1992.
Jurafsky & Martin, Speech and Language Processing, Third Edition Draft Link
Elaine Rich, Kevin Knight, Artificial Intelligence.
Stuart Russell and Peter Norvig, Artificial Intelligence – A Modern
Nils Nilsson, Artificial Intelligence: a new synthesis.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc. · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Clicker questions, Multiple Choice, Fill-in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Problem-solving tasks, Case studies, Critique writing, Analysis report, Review report
CLO2
CLO3
CLO4
CLO5

Course Title: Artificial Intelligence Laboratory
Course Code: 3317
Course Type: Core Course (Systems)	Credits: 1.5
Status: Sessional	Pre-requisite: None

Course Rationale:

This course aims at moving our attention from Symbolic AI (a.k.a. Rule Based or Classical AI) to a more practical and modern data driven approach with specific attention to Machine Learning (ML), Computational Linguistics and Natural Language Processing (NLP) applications. The course balances theory and practice, by covering conceptual as well as implementation aspects. This isn’t a theoretical course on the mathematical aspects of learning, rather a course aimed at equipping the students with practical abilities to run Machine Learning (ML) experiments, building on solid theoretical background.

Course Objectives:

The objective of the course is:

To provide a strong focus on practice in a way that students will be able to practically run machine learning experiments on a given AI problem – specific application areas will mainly focus on NLP.
Helping the students to develop the ability to decide how to represent a problem, choose and implement features for learning using an appropriate algorithm, and interpret the

results critically, by understanding evaluation metrics as well as possible sources of errors (overfitting, data sparsity, etc.).

To provide the knowledge of how to appropriately report on the experiments they run, as it is done in academic

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1	Analyze and master the key concepts and terminology of natural language processing with the help of machine learning, understand model building, training and testing procedures.
CLO2	Gain an in-depth understanding about different data Preprocessing and Feature Selection techniques.
CLO3	Have solid working knowledge on how to evaluate the results of a learning experiment, the main algorithms used in classification - both supervised and unsupervised (Naive Bayes, Decision Trees, SVM, KNN, Linear Regression, Perceptron, Clustering).
CLO4	Apply existing tools, libraries and software that support data processing and machine learning experiments. In particular, students will learn to use native Python and ML libraries, such as NLTK and Scikit-Learn, SpaCy, Keras, Gensim and Tensorflow.
CLO5	Consolidate both theory and practice into a working prototype based on a real-world problem by developing and creating a final NLP based project.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

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CLO2

√

CLO3

√

CLO4

√

CLO5

√

Course Description:

SL No.	Course Content	CLOs
1.	Language Basics: Introduction to Python, General Issues, Environment Setup (Anaconda/CoLab), Containers and Collection Modules, Numpy Basics.	CLO4
2.	Dataset and Learning: Supervised Learning, Contribution of Datasets, Train/Dev/Test Spits, Annotation Schemes, How to Build your own Dataset.	CLO2
3.	Evaluation Matrices: Accuracy/F1/Confusion Matrix etc.	CLO3
4.	Preprocessing and Feature Selection Using NLTK, Scikit-learn and spaCy.	CLO2 CLO4
5.	Classification Algorithms: Hands on experiments using - Naive Bayes (NB), Support Vector Machine (SVM), Decision Trees (DT) and K-Nearest Neighbor (KNN).	CLO3 CLO4
6.	Basic Neural Networks: Implementing a simple Artificial Neural Network from scratch.	CLO3 CLO4
7.	Natural Language Processing (NLP): Text Preprocessing and Features, Language Models (n-grams/embeddings).	CLO1 CLO2
8.	Clustering Techniques (K-Means, OPTICS), Issues in Learning (Error analysis, Semi-Supervision, etc.)	CLO1 CLO3
9.	Final Project (along with a Poster/Presentation).	CLO5

Text Books, Reference Books and Other Resources:

Winston, Patrick "Artificial Intelligence." 3rd ed. Addison-Wesley, 1992.
Jurafsky & Martin, Speech and Language Processing, Third Edition Draft Link
Elaine Rich, Kevin Knight, Artificial Intelligence.
Stuart Russell and Peter Norvig, Artificial Intelligence – A Modern
Nils Nilsson, Artificial Intelligence: a new synthesis.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs

Teaching-Learning Strategy

Assessment Strategy

CLO1

· Lectures/Instructions

· Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc.

· Flipped classroom

· Whiteboard/Blackboard, Video and audio examples

· On the spot class/quiz tests

· Student Presentation

· Group Work: Assignments, Discussions, Investigations, Presentations

· Case Studies

Clicker questions, Multiple Choice, Fill- in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, One-minute paper, Problem- solving tasks, Case studies, Critique writing, Analysis report, Review report

Course Title: Computer and Cyber Security
Course Code: 3637
Course Type: Core Course (Systems)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course introduces the concepts and issues related to securing information systems and the development of policies and mechanisms to implement information security controls.

Course Objective:

The objective of the course is

Enable the students to understand the development of security, traditional encryption, security attacks and the fundamental security objectives.
Equip and enhance to determine the security objectives, attacks, and models, so is able to recognize the security requirements in real-life
Facilitate students to analyze the design and implementation issues of a real-life security

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1

Identify the development of security principles, traditional encryption, security

attacks and the fundamental security objectives.

CLO2

Explain the performance of a range of computer network security technologies as well as network security models and services, so is able to recognize the security

requirements in real-life cases.

CLO3

Implement the design and implementation issues of a real-life security solution.

Course Description:

SL No.	Course Content	CLOs
1.	Introduction to computer security, CIA TRIAD, Threats and Attacks, Passive and Active attacks and examples of passive as well as active attacks, security mechanisms.	CLO1
2.	Classical encryption techniques, Cryptography, Introduction to Symmetric key and Asymmetric key encryption.	CLO1
3.	Block cipher and the data encryption standard (DES), Advanced Encryption Standard, Contemporary Symmetric Ciphers, Public-key Cryptography, RSA algorithm, Key management, Diffie-Hellman key exchange, Other Public Key Cryptosystem,	CLO2, CLO3
4.	Message Authentication and Hash function, Hash Algorithm, Secure Hash Algorithm (SHA), Digital Signatures and Authentication protocols,	CLO2, CLO3
5.	Network Security practice, IP Sec, SSL/TLS, HTTPS, SSH, Wireless network security: WEP, WPA, WPA2;	CLO2, CLO3
6.	Web security, OS security, System security issues and Security Attacks: malware, DDos, Trojan and backdoors, buffer overflow, social engineering etc. Intrusion Detection System (IDS) (Firewall)	CO2, CO3

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

Text Books, Reference Books and Other Resources:

Behrouz Forouzan, Cryptography and Network Security, McGraw-Hill, 2007.
William Stallings, Network Security, Pearson,

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLO

Teaching-Learning Strategy

Assessment Strategy

LO 1

LO 2 LO3

· Lectures/Instructions

· Reading Materials/PPT slides containing flowcharts, graphs, diagrams, charts, tables, Venn diagrams, etc.

· Tutorials, E-Learning

· Whiteboard/Blackboard, Video and audio examples

· On the spot class/quiz tests

· Student Presentation

· Group Work: Assignments, Discussions, Investigations, Presentations

· Case Studies

Multiple Choice, Fill-in-the-blanks, True/False, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, Problem-solving tasks, Case studies, Critique writing, Analysis report.

Course Title: Software Development Project Course Code: CSE 3000

Course Type: Core Course (Capstone) Credits: 03

Status: Capstone Project Pre-requisite: None

Rationale:

In the Software Development course, the students will learn how to build software from scratch. The program focuses on developing responsive designs, validation and testing, analyzing different methods for solving a particular problem, working in a group for continuous delivery etc. Students will learn about the latest project management tools, how to model a problem from various domains.

Course Objectives:

The objective of the course is

To contribute effectively to the development process of a
To make students eligible to deal with changes during the middle of the development of
To prepare students to adapt to new technologies in the

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Execute different concepts of modern server-side technologies to build a quality software product
CLO2	Implement modern client-side technologies to increase the productivity of software having a lot of user interaction
CLO3	Use version control system for maintaining all the versions of a software product
CLO4	Inspect customer requirements through discussion to identify the scopes of the software to be developed
CLO5	Recommend concepts or processes that will best suit a particular problem
CLO6	Develop software by combining server-side and client-side concepts and following the best design practices
CLO7	Act as an influential groupmate during collaborative work of software by utilizing tools for project task management, code refactoring, and version control
CLO8	Prepare a report to illustrate the overall development process consisting of software modeling, design and implementation

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

CLO6

√

CLO7

√

CLO8

√

Course Description:

SL No.	Course Content	Hrs.	CLOs
1.	Introduction: Familiarization to development framework, advantages, design patterns	3	CLO1, CLO2
2.	Server-side concepts: Different features of a modern server-side concepts	20	CLO1
3.	Design Concepts: Different features of a modern design technology, user-friendly software design	4	CLO2
4.	Modern Tools Usage: Code refactoring tools, version control system, project progress and task management	4	CLO3, CLO7
5.	Client-side concepts: Different features of modern client-side concepts	12	CLO2
6.	Client and Server Communication: Establish Communication, interaction through API, token-based authentication and authorization	6	CLO6
7.	Project: Requirements analysis, identifying scopes, modeling the specifications, implementation, and representing all the steps via report	3	CLO8

Text Books, Reference Books and Other Resources:

Matt Stauffer, Laravel: Up & Running: A Framework for Building Modern PHP Apps, O’Reilly Media, 2019.
Azat Mardan, Practical js: Building Real-World Scalable Web Apps, Apress, 2014.
Carlos Rojas, Building Progressive Web Applications with js: Reliable, Fast, and Engaging Apps with Vue.js, Apress, 2019.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, diagrams, charts, tables, etc. · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz/performance tests · Student Presentation · Group Work: Assignments, Project Development, Discussions, Investigations, Presentations	Quiz, Summary, Short Answer, Essay, Diagrams, Short Answers, Problem-solving tasks, Analysis report
CLO2
CLO3
CLO4
CLO5

Course Title: Industrial Attachment Course Code: CSE 4001

Course Type: Core Course (Capstone) Credits: 03

Status: Capstone Project Pre-requisite: Non

Course Rationale:

This course aims to involve students in different industries to acquaint with professional environment.

Course Objectives:

The objectives of this course are-

To introduce students with practical working standards as an electrical
To help students improve their ability to present the experiences of industrial attachment orally and in

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Expose themselves to work, responsibility and the ethics in working environment.
CLO2	Communicate effectively within the working environment.
CLO3	Apply their engineering knowledge in real world industry.
CLO4	Write technical report.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

Course Description:

SL

No.

Course Content

1.

A student needs to Visit One or Two Industries Under the supervision of course teacher. In this industrial exploration, Students must observe industrial rules & regulations, industrial production, supply chain management, maintenance system, Industrial troubleshooting etc.

2.

At the End of the course Students needs to submit a technical report for each industrial exploration considering above mentioned points.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

CLOs	Teaching Learning Strategy	Assessment Strategy
CLO1	· Interactive Lecture · Industry Visit	· Report · Presentation
CLO2
CLO3

Elective Courses.

Elective Subject (Communication and Networking)

Course Title: Communication Engineering
Course Code: CSE 4511
Course Type: Elective Subject (Communication and Networking)	Credits: 03
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to introduce the basic principles and applications of analog and digital communication in our daily life

Course Objectives:

The objective of the course is-

To introduce students with the fundamental concepts of communication systems.
To provide students with the knowledge of different analog modulation schemes and digital modulation schemes.
To make the students understand the multiple access techniques and key aspects of

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to-

CLO1	Understand the fundamentals of communication systems.
CLO2	Understand the fundamentals of information theory.
CLO3	Analyze different types of analog modulation techniques.
CLO4	Analyze different types of digital modulation techniques.
CLO5	Analyze multiple access techniques.
CLO6	Solve complex engineering problems related to noises of communication systems.

Mapping of Course Outcomes to Program Outcomes-

PLO1

PLO2

PLO3

PLO4

PLO5

PLO6

PLO7

PLO8

PLO9

PLO10

PLO11

PLO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

CLO5

√

CLO6

√

Course Description:

SL No.	Course Content	CLOs
1.	Introduction of communication systems: Basic principles, fundamental elements, system limitations.	CLO1
2.	Information Theory: Information and system capacity, Information transmission, Entropy, Continuous channel capacity, Transmission through electrical network.	CLO2
3.	Analog communication: AM, FM, PM, DSB, SSB, VSB, ISB, with circuit techniques.	CLO3
4.	Digital communication: Introduction, Nyquist sampling theorem, Quantization of analog system, Quantization noise, PAM, PWM, PPM, PCM, LOG PCM, and systems, Digital modulations, ASK, FSK, PSK, BPSK, MSK, M-array digital modulation, QAM, QPSK, Delta modulation, Multi carrier modulation, line coding, Frame construction, Error Probability. ISDN, B-ISDN, SONET, SDH	CLO4
5.	Multiple access techniques: Space division multiple access, frequency division multiple access, time division multiple access and code division multiple access, spread spectrum technique	CLO5
6.	Digital Communication: Basics, elements, pulse code modulation, sampling and quantization, Multiplexing, Modulation, and demodulation techniques.	CLO6

Textbooks, References & Other Resources:

George Kennedy, Electronic Communication System, McGraw-Hill,
P. Lathi, Zhi Ding, Modern Digital and Analog Communication Systems, Oxford University Press, 2009.
Simon Haykin, Communication System, Wiley,
Herbert Taub and Donald Schilling, Principles of Communication Systems, McGraw-Hill, 1986.

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing Circuit Design, Mapping, etc. · Tutorials, E-Learning · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations · Case Studies	Multiple Choice, Fill-in-the-blan Label, Match, Quizzes, Summa Essay, Diagrams, Presentatio Short Answers, Muddiest poi One-minute paper, Proble solving tasks, Case studies, Critiq writing, Analysis report, Revi report
CLO2
CLO3
CLO4

Course Title: Communication Engineering Laboratory
Course Code: CSE 4512
Course Type: Elective Subject (Communication and Networking)	Credits: 1.5
Status: Theory	Pre-requisite: None

Course Rationale:

This course aims to make the student proficient in all types of modulation and demodulation techniques applicable in communication systems.

Course Objectives:

The objective of the course is-

To facilitate students with foundation skills of using communication laboratory
To make students understand about the operations and applications of various analog and digital modulation circuits.
To help students demonstrate the ability to present the results of investigations orally and in writing.

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to-

CLO1	Demonstrate different types of analog and digital modulation and demodulation techniques using experimental setup as an individual or as a member of a team.
CLO2	Conclude the result from experimental data.
CLO3	Write comprehensive reports on the work done in laboratory in a group and orally present the findings.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

Course Description:

SL No.	Course Content	CLOs
1.	Laboratory work using hardware based on theory course CSE 4512. It will cover AM FM, ASK, FSK, PSK modulation and demodulation practical laboratory work.	CLO1, CLO2, CLO3
2.	Report writing based on laboratory work.	CLO3
3.	Oral presentation on mini project work (design project/analytical project/ experimental project/industrial tour).	CLO1, CLO2

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing Circuit Design, Mapping, etc. · Tutorials, E-Learning · Flipped classroom · Whiteboard/Blackboard, Video and audio examples · On the spot class/quiz tests · Student Presentation · Group Work: Assignments, Discussions, Investigations, Presentations	Multiple Choice, Fill-in-the-blanks, Label, Match, Quizzes, Summary, Essay, Diagrams, Presentation, Short Answers, Muddiest point, One-minute paper, Problem-solving tasks
CLO2
CLO3
CLO4

Course Title: Cloud Computing Course Code: CSE 4523

Course Type: Elective Subject (Communication and Networking) Credits: 03

Status: Theory Pre-requisite:

None

Course Rationale:

Intended to equip the students with the learning experience, cutting-edge skill sets, and industry-transferable competencies required by the state-of-the-art, fast-growing, and scalable cloud architectures.

Course Objectives:

The objective of the course is to enable the students to

Identify and demonstrate different cloud computing and cloud deployment
Comprehend the compute, storage, database, networking, and content delivery facilities offered by the underlying cloud infrastructure.

Identify security and privacy issues in cloud
Analyze the automatic scaling and monitoring performance of the underlying cloud technologies
Implement applications for different cloud

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Define the key concepts, standards, and technologies in cloud computing
CLO2	Describe the performance, scalability, and availability of the underlying cloud technologies
CLO3	Compare resource usage in cloud computing infrastructures for different scientific applications;
CLO4	Describe privacy and security issues for cloud infrastructure and virtual environments
CLO5	Implement cloud applications for various cloud platforms

Course Description:

SL No.	Course Content	CLOs
1.	Grid computing, Distributed computing, Cloud computing models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), and cloud deployment models such as public, private, and hybrid models. Example cloud platforms (e.g. AWS, Google Cloud Platform, Microsoft Azure), Interoperability.	CLO1
2.	Cloud Hardware and Software: Virtual machines and containers, automatic scaling of virtual computers, managed vs. unmanaged services	CLO1, CLO2
3.	Networking and content Delivery: Interconnection for clouds, scalable communication architectures, network resource management, global infrastructure, content delivery networks.	CLO1
4.	Cloud Storage and Database: Overview, Distributed file systems, NoSQL databases, Data storage for OLTP systems, warehouse, automatic scaling of storage and database systems, Reliability.	CLO1, CLO2
5.	Cloud application development and deployment, Performance metrics, cloud application testing, cloud application benchmarking.	CLO5
6.	Cloud Resource Management and Scheduling: Policies and mechanisms, Resource utilization and energy efficiency, Application resource management, Models for cloud-based web services, Scheduling algorithms for the cloud	CLO3
7.	Cloud Security: security risks and challenges, privacy and trust on the cloud, cloud, data encryption, security in and of the cloud.	CLO4

Mapping of Course Outcomes to Program Outcomes-

PLO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CLO1

√

CLO2

√

CLO3

√

CLO4

√

COL5

√

Textbooks, References & Other Resources:

Dan Marinescu, Cloud Computing Theory and Practice, Morgan Kaufmann, 2017.
Rajkumar Buyya, James Broberg, and Andrzej Goscinski, Cloud Computing: Principles and Paradigms, Wiley, 2011.
Erl Thomas, Puttini Ricardo, and Mahmood Zaigham, Cloud Computing: Concepts, Technology & Architecture, Pearson, 2013.
AShdeep Bahga and Vijay Madisetti, Internet of Things: A hands-on Approach, VPT,
IEEE Transactions on Cloud Computing
Journal of Cloud Computing: Advances, Systems, and Applications (JoCCASA)

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Reading Materials/PPT slides containing flowcharts, graphs, diagrams, etc. · Tutorials, E-Learning · Whiteboard/Blackboard, Video, and audio examples · Group Work: Assignments	Clicker questions, Multiple Choice, Fill- in-the-blanks, Label, Match, True/False, Quizzes, Summary, Essay, Diagrams, Infographics, Presentation, Short Answers, Problem-solving tasks
CLO2
CLO3
CLO4
CLO5

Course Title: Cloud Computing Laboratory Course Code: CSE 4524

Course Type: Elective Subject (Communication and Networking) Credits: 1.5

Status: Sessional Pre-requisite:

None

Course Rationale:

This course enables the students to become familiar with web application implementation and hosting, and service configuration in real-world cloud platforms.

Course Objectives:

The objective of the course is to enable the students to

Become familiar with virtual machine configuration in different cloud
Demonstrate the advantage of managed cloud
Implement custom web applications in different cloud computing service
Use advanced techniques to scale cloud resources under dynamic

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to

CLO1	Configure virtual machines (instances) with underlying storage mechanisms, supporting security and access mechanisms.
CLO2	Leverage managed database services for solving relational database needs.
CLO3	Implement web applications in IaaS and PaaS environments.
CLO4	Use load balancing and auto-scaling to automatically control virtual instances and distribute traffic across the instances.
CLO5	Write an individual or group report to disseminate the experiment execution process and findings.

Course Description:

SL

No.

Course Content

CLOs

1.

Laboratory work based on theory course Cloud Computing using AWS CLI.

CLO1, CLO2, CLO3,

CLO4

2.

Lab Report Writing: Objective, Introduction, Problem Statement, Algorithm/Methodology, Sample Input/Output, Results and Discussions

CLO5

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

√

CL O5

√

Textbooks, References & Other Resources:

Dan Marinescu, Cloud Computing Theory and Practice, Morgan Kaufmann, 2017.
Rajkumar Buyya, James Broberg, and Andrzej Goscinski, Cloud Computing: Principles and Paradigms, Wiley, 2011.
Erl Thomas, Puttini Ricardo, and Mahmood Zaigham, Cloud Computing: Concepts, Technology & Architecture, Pearson, 2013.
AWS Cloud Computing Lab
AWS CLI to access AWS

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

CLOs	Teaching-Learning Strategy	Assessment Strategy
CLO1	· Lectures/Instructions · Follow Lab Manuals · Hands-on Experiments · Assignments · Report Writing · Group Work: Assignments	Written Tests/Quizzes, Final Performance Tests, Class Performance, Final Viva/Oral Exam, Lab Reports
CLO2
CLO3

Course Title: Network Security Course Code: CSE 4591

Course Type: Elective Subject (Communication and Networking) Credits: 03

Status: Theory Pre-requisite:

None

Course Rationale:

This course is to expose students to advanced topics in network security. It provides a general overview of network security, attacks, and countermeasures.

Course Objectives:

The objective of the course is

Enable the students to understand the development of network security, security attacks and
Develop to determine the wireless network security attacks, and models, so can recognize the security requirements in real-life
Allow students to solve the design and implementation issues of a real-life network security

Course Learning Outcomes (CLOs):

Upon successful completion of this course, students will be able to:

CLO1

Explain the development of network infrastructure and network applications security

issues, security attacks.

CLO2

Explain the security issues in different types of wireless network and routing protocols.

CLO3

Solve the different security challenges in real-life network using state-of-the-art technologies.

Mapping of Course Outcomes to Program Outcomes-

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

PLO 6

PLO 7

PLO 8

PLO 9

PLO 10

PLO 11

PLO 12

CL O1

√

CL O2

√

CL O3

√

CL O4

CL O5

Sl. NO	Course Type		Credit Hours	Percentage of Total Credit Hours (Approximate)
1.	Generals Education	Language &Generals Education Courses.	22	15%
2.		Basic Science & Mathematics Courses.	20.25	14%
3.		Other Engineering Courses.	17.25	12%
4.	Core Courses (Including Capstone Courses)		69.5	46%
5.	Elective Courses		21	14%
Total			150.00	100%

PREMIER UNIVERSITY

Department of Computer Science And Engineering

PREMIER UNIVERSITY

Department of Computer Science And Engineering

CSE OBE Curriculum (New)

Course Rationale:

Course Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Textbooks, References & Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Textbooks, References & Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Textbooks, References & Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Text Books, Reference Books and Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning and Assessment Strategy:

Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Textbooks, References & Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course Objectives:

Course Learning Outcome (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Textbooks, References & Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Text Books, Reference Books and Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Outcomes to Program Outcomes-

Text Books, Reference Books and Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy:

Course Objectives:

Course Learning Outcomes (CLOs):

Mapping of Course Learning Outcomes to Program Outcomes-

Text Books, Reference Books and Other Resources:

Mapping Course Learning Outcomes (CLOs) with the Teaching-Learning & Assessment Strategy: