CSE

Program Learning Outcome (PLOs)/ Graduate Attributes

The Program Learning Outcomes (PLOs) describe the skills met by our graduates at the time of graduation to achieve the program objectives listed above. Combine and apply foundations of mathematics and knowledge of computer science and engineering to analyze real world computing problems. The PLOs and Graduate Attributes are similar for the B. Sc. in CSE program and designed according to the PLOs and Graduate Attributes identified in Washington Accord.

The Graduate Attributes are dedicated to nurturing future-ready professionals equipped with the essential knowledge, skills, and attributes to thrive in today's dynamic technological landscape. Our graduate attributes are meticulously crafted in alignment with the identified needs of stakeholders and the learning outcome domains outlined in the Bangladesh National Qualifications Framework (BNQF) for higher education.

The graduate attributes are defined such that at the time of graduation our graduates will have the following attributes:

PLO(a): Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

PLO(b): Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PLO (c): Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.

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

PLO(e): Modern Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PLO(f): 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.

PLO(g): Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

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

PLO(i): Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PLO(j): 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.

PLO(k): Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PLO(l): 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.

Mapping PLOs with the Missions

PLO No.	PLO Statement	Mission 1	Mission 2	Mission 3	Mission 4	Mission 5	Mission 6	Mission 7
PLO(a)	Engineering Knowledge	✓	✓	✓		✓	✓	✓
PLO(b)	Problem Analysis	✓	✓	✓		✓	✓	✓
PLO(c)	Design/ Development of Solutions	✓	✓	✓	✓	✓	✓	✓
PLO(d)	Conduct investigations of complex problems	✓	✓	✓		✓	✓	✓
PLO(e)	Modern Tool Usage	✓	✓	✓	✓	✓	✓	✓
PLO(f)	The Engineer and Society			✓	✓	✓	✓	✓
PLO(g)	Environment and Sustainability	✓	✓	✓	✓	✓	✓	✓
PLO(h)	Ethics			✓	✓	✓	✓	✓
PLO(i)	Individual and Team Work			✓	✓	✓	✓	✓
PLO(j)	Communication			✓	✓	✓	✓	✓
PLO(k)	Project Management and Finance	✓	✓	✓		✓	✓	✓
PLO(l)	Life-long Learning	✓	✓	✓		✓	✓	✓

BNQF Learning Domain and mapping with PLOs

The PLOs are defined to ensure the achievement of the four Learning Outcome Domains appropriate for Level 7 of BNQF. The Learning Outcome Domains a for level 7 (4-year Bachelor’) are briefly given as:

Fundamental Domain: This realm encapsulates the specialized knowledge and skills acquired through academic endeavors, shaping an individual's performance and societal impact.

Social Domain: This side encompasses the abilities crucial for effective interaction with individuals across various levels to accomplish shared objectives, emphasizing communication and community involvement. According to the World Economic Forum, social skills encompass coordination, instruction, negotiation, persuasion, service orientation, and perceptiveness toward people and the environment.

Thinking Domain: This segment includes skills vital for adaptive learning, decision-making, problem-solving, and entrepreneurial pursuits. It underscores graduates' capacity for proactive learning and critical thinking, necessitating investigative, enterprising, scientific, analytical, and managerial competencies.

Personal Domain: This dimension encompasses lifelong learning, self-directedness, integrity, and citizenship development. It involves abilities like active listening, time management, caregiving, team-building, accountability, civic engagement, and societal contribution.

The following table shows the alignment of our PLOs with the identified needs of the stakeholders, learning outcome domains indicated in BNQF and Bloom’ Taxonomy.

Issues/Concerns & Identified needs	Graduate Attributes/PLOs	BNQF Indicator	Bloom's Taxonomy
Use contemporary knowledge while developing rapid solutions to common problems considering diversity and ethics.	Modern Tool Usage, Ethics, Individual and Team Work	Fundamental Skills, Personal Skill, Social Skill	Cognitive, Affective, Psychomotor
Resource optimization in developing diverse application and innovation (Sustainable Development Goal- (SDG- 2,7 & 13))	Problem Analysis, Project Management and Finance	Fundamental Skills, Thinking Skills, Social Skill	Cognitive, Psychomotor
Develop entrepreneurship mindset satisfying poverty reduction and economic growth. (SDG 1 & 8)	Design/Development of Solutions	Fundamental Skills, Personal Skill	Cognitive, Affective
Strive at the same capacity and tempo as the global community by staying updated with the latest advancements, trends.	Conduct Investigations	Fundamental Skills	Cognitive, Psychomotor
Massive technological evolution requiring innovative approaches to discover new career prospects considering societal impact (Future Industrial Requirements (FIR)).	The Engineer and Society	Social Skill, Fundamental Skill	Affective
Multidisciplinary approaches that combine engineering knowledge can help to find more sustainable and fair solutions to global problems (SDG 10, 12 & 13).	Environment and Sustainability, Individual and Team Work	Personal Skill, Social Skill, Fundamental Skills	Cognitive, Affective, Psychomotor
Cross-cultural communication training, intercultural competency development, culturally adapted communication strategies.	Communication	Social Skills	Psychomotor, Affective
Strive at the same capacity and tempo as the global community by staying updated with the latest advancements, trends.	Life-long Learning	Personal Skills	Affective, Psychomotor

Program Educational Objectives (PEOs) and mapping with missions

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.

The mapping between mission and PEOs is as shown in below:

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

Mapping PLOs with the PEOs

PLO No.	PLO Statement	PEO-1	PEO-2	PEO-3	PEO-4
PLO No.	PLO Statement	Thinking Critically	Implement Efficiently	Society, Ethics, and Team Player	Communication
PLO(a)	Engineering Knowledge	√
PLO(b)	Problem Analysis	√
PLO(c)	Design/ Development of Solutions		√	√	√
PLO(d)	Conduct investigations of complex problems	√
PLO(e)	Modern Tool Usage		√	√
PLO(f)	The Engineer and Society			√
PLO(g)	Environment and Sustainability		√	√
PLO(h)	Ethics			√
PLO(i)	Individual and Team Work			√	√
PLO(j)	Communication			√	√
PL PLO(k)	Project Management and Finance		√
PLO(l)	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

Teaching-Learning-Assessment in three domains of Bloom’s Taxonomy

Cognitive Domain: Focuses on intellectual skills such as knowledge acquisition, critical thinking, and problem-solving. It involves processes like remembering, understanding, applying, analyzing, evaluating, and creating. Teaching-learning-assessment in this domain emphasizes lectures, discussions, problem-based learning, and assessments like quizzes and projects.
Affective Domain: Relates to emotions, attitudes, values, and motivation in learning. It involves receiving, responding, valuing, organizing, and characterizing by values. Teaching-learning-assessment in this domain includes activities like discussions, role-playing, reflection exercises, and peer evaluations to develop emotional intelligence and ethical reasoning.
Psychomotor Domain: Involves physical skills, coordination, reflexes, and precision in performing tasks. It includes imitation, manipulation, precision, articulation, and naturalization of skills. Teaching-learning-assessment in this domain incorporates hands-on practice, lab work, demonstrations, and skill-based assessments to enhance execution accuracy and efficiency.

Action Verb Appropriate for Cognitive Domain

Level	Definition	CSE Example	Action Verbs
Remember	Recall previously learned information	Identify the syntax of a for loop in C; list the components of a computer network.	define, describe, identify, know, label, list, name, outline, recall, recognize, reproduce, select, state
Understand	Comprehend the meaning, translation, or interpretation of instructions	Explain how the OS manages memory; summarize the working of the TCP/IP model.	clarify, comprehend, convert, describe, discuss, defend, distinguish, estimate, explain, extend, generalize, illustrate, interpret, summarize, translate
Apply	Use learned material in new and concrete situations	Write a Python program to sort an array; apply Dijkstra’s algorithm to a network graph.	apply, change, choose, classify, compute, construct, demonstrate, discover, manipulate, modify, operate, solve, use, write
Analyze	Break down material into parts to understand its structure	Analyze a faulty program to debug; differentiate between stack and queue memory usage.	analyze, categorize, classify, compare, contrast, deconstruct, differentiate, dissect, divide, examine, inspect, infer, outline, relate, separate
Evaluate	Judge the value of material for a given purpose based on criteria	Assess the performance of two sorting algorithms; critique the security of a login system.	appraise, assess, choose, compare, conclude, contrast, criticize, defend, evaluate, explain, interpret, justify, summarize, support
Create	Put parts together to form a new whole or propose original solutions	Design a new web application; develop a machine learning model for spam detection.	build, categorize, combine, compile, compose, create, devise, design, generate, improve, plan, propose, reconstruct, reorganize, solve, write

In the provided list of action verbs for cognitive domain, those up to "apply" correspond to lower-order thinking skills, while the remaining verbs indicate higher-order thinking skills. Lower-order thinking skills (LOTS) involve basic cognitive processes such as remembering, understanding, and applying knowledge, while higher-order thinking skills (HOTS) require more complex cognitive processes such as analyzing, evaluating, and creating new ideas.

Action Verb Appropriate for Affective Domain

Level	Definition	Example	Action Verb
Receiving	Being aware of or attending to something in the environment	A student listens attentively during a lecture on cybersecurity or attends a seminar on AI.	Accept, Attend, Develop, Recognize
Responding	Showing some new behavior as a result of experience	A student participates in a class discussion on ethical hacking or completes an online coding challenge.	Complete, Comply, Cooperate, Discuss, Examine, Obey, respond
Valuing	Showing some definite involvement or commitment	A student voluntarily joins the university coding club or participates in a hackathon.	Accept, Defend, Devote, Pursue, Seek
Organization	Integrating a new value into one’s general set of values, giving it some ranking among one’s general priorities	A student organizes a seminar on open-source contributions or leads a team in a software development project.	Codify, Discriminate, Display, Order, Organize, Systematize, Weigh
Characterization by value	Acting consistently with the new value	A student consistently promotes ethical computing practices and mentors juniors in tech initiatives.	Internalize, Verify

Action Verb Appropriate for Psychomotor Domain

Level	Definition	Example	Action Verb
Imitation	Observing and patterning behavior after someone else	Watch a lab instructor demonstrate how to write a basic C program and then replicate it on your own computer	copy, follow, replicate, repeat, adhere
Manipulation	Reproduce activity from instruction or memory	Write a Python script to sort a list based on instructions given in class	re-create, build, perform, execute, implement
Precision	Execute skill reliably, independent of help	Independently develop and debug a program that reads data from a file and processes it correctly	demonstrate, show, complete, perfect, calibrate, control
Articulation	Adapt and integrate expertise to satisfy a non-standard objective	Combine database operations and web development to build a dynamic student management system	construct, solve, adapt, combine, coordinate, integrate, develop, formulate, modify, master
Naturalization	Mastering a high-level performance until it becomes second nature or natural.	Lead a team in developing and deploying a full-stack web application with CI/CD and automated testing	Define aim, approach and strategy for use of activities to meet

Structure of the Curriculum

Duration of the program: Years: 4, Semesters: 8
Admission Requirements:
Minimum GPA of 2.5 (or second division) in SSC and HSC examinations (or their equivalent), OR at least one GPA 2.00 but aggregate GPA of 6.00 in SSC and HSC OR GCE “O” Level in 5 subjects and “A” Level in 2 subjects with at least 4 B Grade or GPA 4.00 and 3 C Grade or GPA 3.50 (using a scale of A=5, B=4, C=3.5, D=2, E=1)

However:
- Sons/daughters of freedom fighters will be eligible for admission if they have an aggregate GPA of 5.0 in SSC and HSC.
- Equivalent performance under other educational systems (e.g. American High School Diploma, IB, etc.) will also be accepted
- A combined SAT score of 1100 is also accepted in lieu of the Admission Test for High School Graduates in any system.
- Transfer of credits from comparable educational institutions may be considered after admission.
- Students will have to pass an admission test to get admission at
Total minimum credit requirement to complete the program: According to BNQF (Part B) for Higher Education: 150
Total class weeks in a Year/semester:
All programs at Premier University (PU) follow a bi-semester system, consisting of two academic terms per year:
- Term I (Spring Semester) – Begins in March
- Term II (Fall Semester) – Begins in September
  Each term has a minimum duration of 24 weeks, allocated as follows:
  1. Term I (Spring Semester)
    - Classes: 14 weeks
    - Mid-Term Examination (Generally after 50% of the term duration): 1 week
    - Preparatory Leave for Final Examination: 1 week
    - Term Final Examination Period: 3 weeks
    - Publication of Results: 2 weeks
    - Inter-Term Break: 1 week
    - Course Enrollment and Result Correction: 2 weeks
    - Total Duration: 24 weeks
  2. Term II (Fall Semester)
    - Classes: 14 weeks
    - Mid-Term Examination (Generally after 50% of the term duration): 1 week
    - Preparatory Leave for Final Examination: 1 week
    - Term Final Examination Period: 3 weeks
    - Publication of Results: 2 weeks
    - Inter-Term Break: 1 week
    - Course Enrollment and Result Correction: 2 weeks
    - Total Duration: 24 weeks
  3. Ramadan, Puja, and Other Vacations Throughout the Academic Year
    - Total Duration: 4 weeks
      
      Overall Academic Year Duration
      - Total: 52 weeks
Minimum CGPA requirements for graduation: 2.0
Maximum academic years of completion: 7 academic years

Category of Courses:
There are five different types of Courses in the Curriculum:

Generals Education Courses:
1. Language and General Education Courses
2. Basic Science and Mathematics Courses
3. Other Engineering Courses
Core Courses
Capstone Courses
Major Elective Courses
Minor Elective Courses
The elective courses will be offered in seven (7) major areas:
1. Software Engineering
2. Data Science
3. Computing Theory
4. Communication and Networking
5. Hardware Engineering
6. Information and Communication Engineering
7. Systems
  
  For Major specialization, students have to complete three theory courses and two laboratory courses from any major areas.
  For Major specialization, students have to complete two theory courses and two laboratory courses from any minor areas (other than major specialization).
  A list of course types and assigned credits:

SL. No.	Course Type		Credits	Percentage of Total Credit (Approximate)
1.	General Education	Language and General Education Courses	22	14.67%
2.		Basic Science and Mathematics Courses	20.25	13.5%
3.		Other Engineering Courses	12.75	8.5%
4.	Core Courses (Including Capstone Courses)		74	49.33%
5.	Elective Courses		21	14%

Distribution of Courses

Coding system for different courses of B. Sc. in CSE program are as follows:

Subject area	Description
0	Thesis
1	General Courses
2	Database and Software Engineering
3	Artificial Intelligence and Data science
4	Algorithm and Graph theory
5	Communication and Networking
6	Computer and Network Security
7	Systems
8	Hardware Engineering

Language and General Education Courses (22 credits)
Compulsory (13 credits)

SL.	As BNQF	Course Code	Course Title	Credits
1	0231-1101	ENG 1101	General English	3
2	0232-1101	BAN 1101	Functional Bengali Language (প্রায়োগিক বাংলা ভাষা)	2
3	0231-1102	ENG 1102	Communicative English	1.5
4	0417-4104	ENG 4104	Technical Writing and Presentation	1.5
5	0314-1101	SSC 1101	Bangladesh Studies	2
6	0223- 3101	HUM 3101	Society, Engineering Ethics, and Environmental Protection	3

GED Optional (Any three, 9 credits)

SL.	As BNQF	Course Code	Course Title	Credits
1	0311-1101	ECO 1101	Engineering Economics	3
2	0314-1109	SOC 1109	Sociology for Science and Technology	3
3	0411-1501	ACC 1501	Financial and Managerial Accounting	3
4	0413-3301	MGT 3301	Project Management and Entrepreneurship	3
5	0413-4562	MGT 4562	Operational Management	3
6	0417-2413	BUS 2413	Business Communication	3
7	0222-1101	HUM 1101	History of the Emergence of Bangladesh	3

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

SL.	As BNQF	Course Code	Course Title	Credits
1	0533-1103	PHY 1103	Introduction to Classical & Modern Physics	3
2	0533-1104	PHY 1104	Physics Laboratory	0.75
3			Basic Science Option I	3
4	0541-1203	MAT 1203	Differential and Integral Calculus	3
5	0541-1205	MAT 1205	Coordinate Geometry & Vector Analysis	3
6	0541-2304	MAT 2304	Numerical Methods	1.5
7	0541-2207	MAT 2207	Matrix, Linear Algebra, Differential Equation	3
8	0542-2107	STA 2107	Statistics and Probability	3

Basic Science Optional (Any one, 3 credits)

SL.	As BNQF	Course Code	Course Title	Credits
1	0511-2101	BIO 2101	Biology for Engineers.	3
2	0531-1101	CHE 1101	Chemistry	3
3	0533-2211	EEE 2211	Semiconductor Physics & Device	3

Other Engineering Courses (12.75 credits)

SL.	As BNQF	Course Code	Course Title	Credits
1	0715-1104	ME 1104	Mechanical Engineering Drawing	0.75
2	0713-1101	EEE 1101	Introduction to Electrical Engineering	3
3	0713-1102	EEE 1102	Introduction to Electrical Engineering Laboratory	1.5
4	0714-1201	EEE 1201	Electronics Device and Circuits	3
5	0714-1202	EEE 1202	Electronics Device and Circuits Laboratory	1.5
6	0714-4427	CSE 4427	Data Communication	3

Core Courses (67.25 credits)

SL.	As BNQF	Course Code	Course Title	Credits
1	0613-1113	CSE 1113	Programming Fundamentals	3
2	0613-1114	CSE 1114	Programming Fundamentals Laboratory	1.5
3	0613- 1115	CSE 1115	Object Oriented Programming	3
4	0613-1116	CSE 1116	Object Oriented Programming Laboratory	1.5
5	0613- 1110	CSE 1110	Competitive Programming	0.75
6	0714-2201	EEE 2201	Digital Electronics and Pulse Technique	3
7	0714-2202	EEE 2202	Digital Electronics and Pulse Technique Laboratory	1.5
8	0714-3815	CSE 3815	Microprocessors and Microcontrollers	3
9	0714-3816	CSE 3816	Microprocessors and Microcontrollers Laboratory	1.5
10	0613-3737	CSE 3737	Computer Organization & Architecture	3
11	0541-1411	CSE 1411	Discrete Mathematics and Number Theory	3
12	0613-1413	CSE 1413	Data Structures	3
13	0613-1414	CSE 1414	Data Structures Laboratory	1.5
14	0613-2415	CSE 2415	Algorithms	3
15	0613-2416	CSE 2416	Algorithms Laboratory	1.5
16	0612-2221	CSE 2221	Database Management Systems	3
17	0612-2222	CSE 2222	Database Management Systems Laboratory	1.5
18	0613-3211	CSE 3211	Information System Design	3
19	0613-3233	CSE 3233	Software Engineering	3
20	0613-3234	CSE 3234	Software Engineering Laboratory	0.75
21	0613-2210	CSE 2210	Mobile application Development	1.5
22	0613-3210	CSE 3210	Internet Programming	1.5
23	0611-1111	CSE 1111	Computer Fundamental and Ethics	1.5
24	0613-3733	CSE 3733	Operating Systems	3
25	0613-3734	CSE 3734	Operating Systems Laboratory	0.75
26	0612-3567	CSE 3567	Computer Networks	3
27	0612-3568	CSE 3568	Computer Networks Laboratory	1.5
28	0619-3317	CSE 3317	Artificial Intelligence	3
29	0619-3318	CSE 3318	Artificial Intelligence Laboratory	1.5
30	0612-3637	CSE 3637	Computer and Cyber Security	3
31	0613-3409	CSE 3409	Theory of Computation	2

Capstone Courses (6.75 credits)

SL.	As BNQF	Course Code	Course Title	Credits
1	0613-3000	CSE 3000	Software Development Project	2
2	0613-4000	CSE 4000	Final year Design Project	4
3	0613-4001	CSE 4001	Industrial Attachment/Internship/Professional training	0.75

Elective Courses:

Software Engineering:

SL.	As BNQF	Course Code	Course Title	Credits
1	0613-4293	CSE 4293	Software Testing and Quality Assurance	3
2	0613-4294	CSE 4294	Software Testing and Quality Assurance Laboratory	1.5
3	0613-4283	CSE 4283	Game Design and Development	3
4	0613-4284	CSE 4284	Game Design and Development Laboratory	1.5
5	0613-4215	CSE 4215	Object Oriented Design	3
6	0613-4216	CSE 4216	Object Oriented Design Laboratory	1.5
7	0612-4223	CSE 4223	Advanced Database System	3
8	0612-4224	CSE 4224	Advanced Database System Laboratory	1.5
9	0613-4251	CSE 4251	Human Computer Interaction	3
10	0613-4291	CSE 4291	Software Architecture	3
11	0613-4297	CSE 4297	Software Requirement Specifications & Analysis	3

Data Science

SL.	As BNQF	Course Code	Course Title	Credits
1	0619-4311	CSE 4311	Machine Learning	3
2	0619-4312	CSE 4312	Machine Learning Laboratory	1.5
3	0613-4371	CSE 4371	Digital Image Processing	3
4	0613-4372	CSE 4372	Digital Image Processing Laboratory	1.5
5	0612-4345	CSE 4345	Big Data Analytics	3
6	0612-4346	CSE 4346	Big Data Analytics Laboratory	1.5
7	0714-4791	CSE 4791	Digital Signal Processing	3
8	0714-4792	CSE 4792	Digital Signal Processing Laboratory	1.5
9	0714-4367	CSE 4367	Internet of Things	3
10	0714-4368	CSE 4368	Internet of Things Laboratory	1.5
12	0613- 4333	CSE 4333	Data Mining	3
13	0613-4321	CSE 4321	Introduction to Bioinformatics	3
14	0619- 4373	CSE 4373	Artificial Neural Networks and Fuzzy Systems	3

Computing Theory

SL.	As BNQF	Course Code	Course Title	Credits
1	0613-4483	CSE 4483	Distributed Systems and Algorithms	3
2	0613-4484	CSE 4484	Distributed Systems and Algorithms Laboratory	1.5
3	0613-4411	CSE 4411	Compiler Design	3
4	0613-4412	CSE 4412	Compiler Design Laboratory	1.5
5	0613-4473	CSE 4473	Computer Graphics	3
6	0613-4474	CSE 4474	Computer Graphics Laboratory	1.5
7	0613-4491	CSE 4491	Combinatorial Optimization	3
8	0613-4413	CSE 4413	Computational Geometry	3
9	0613-4401	CSE 4401	Computer Arithmetic	3
10	0613-4463	CSE 4463	Graph Theory	3

Communication and Networking

SL.	As BNQF	Course Code	Course Title	Credits
1	0714-4511	CSE 4511	Communication Engineering	3
2	0714-4512	CSE 4512	Communication Engineering Laboratory	1.5
3	0613-4523	CSE 4523	Cloud Computing	3
4	0613-4524	CSE 4524	Cloud Computing Laboratory	1.5
5	0612-4591	CSE 4591	Network Security	3
6	0612-4592	CSE 4592	Network Security Laboratory	1.5
7	0714-4517	CSE 4517	Wireless Communication	3
8	0714-4367	CSE 4367	Internet of Things	3
9	0613-4573	CSE 4573	Green Computing	3
10	0612-4593	CSE 4593	Web Application Security	3

Hardware Engineering

SL.	As BNQF	Course Code	Course Title	Credits
1	0714-4825	CSE 4825	Digital System Design	3
2	0714-4826	CSE 4826	Digital System Design Laboratory	1.5
3	0714-4833	CSE 4833	Introduction to Robotics Engineering	3
4	0714-4834	CSE 4834	Introduction to Robotics Engineering Laboratory	1.5
5	0714-4815	CSE 4815	Computer Interfacing	3
6	0714-4816	CSE 4816	Computer Interfacing Laboratory	1.5
7	0714-4817	CSE 4817	Embedded System Design	3
8	0714-4818	CSE 4818	Embedded System Design Laboratory	1.5
9	0714-4843	CSE 4843	Control Systems	3
10	0714-4844	CSE 4844	Control Systems Laboratory	1.5
11	0714-4367	CSE 4367	Internet of Things	3
12	0714-4791	CSE 4791	Digital Signal Processing	3

Information and Communication Technology

SL.	As BNQF	Course Code	Course Title	Credits
1	0613-4735	CSE 4735	Visualizing Complex Information	3
2	0613-4736	CSE 4736	Visualizing Complex Information Laboratory	1.5
3	0613-4253	CSE 4253	UI: Concepts and Design	3
4	0613-4254	CSE 4254	UI: Concepts and Design Laboratory	1.5
5	0613-4573	CSE 4573	Green Computing	3
6	0613-4574	CSE 4574	Green Computing Laboratory	1.5
7	0613-4743	CSE 4743	Multimedia Technology	3
8	0613-4744	CSE 4744	Multimedia Technology Laboratory	1.5
9	0613-4295	CSE 4295	Enterprise Systems: Concepts and Practice	3
10	0688- 4299	CSE 4299	IT Audit: Concepts and Practice	3
11	0612-4593	CSE 4593	Web Application Security	3

Systems

SL.	As BNQF	Course Code	Course Title	Credits
1	0613-4523	CSE 4523	Cloud Computing	3
2	0613-4524	CSE 4524	Cloud Computing Laboratory	1.5
3	0613-4731	CSE 4731	Simulation and Modeling	3
4	0613-4732	CSE 4732	Simulation and Modeling Laboratory	1.5
5	0613-4483	CSE 4483	Distributed Systems and Algorithms	3
6	0613-4484	CSE 4484	Distributed Systems and Algorithms Laboratory	1.5
7	0613-4473	CSE 4473	Computer Graphics	3
8	0613-4474	CSE 4474	Computer Graphics Laboratory	1.5
9	0714-4367	CSE 4367	Internet of Things	3
10	0613-4743	CSE 4743	Multimedia Technology	3
11	0613-4371	CSE 4371	Digital Image Processing	3
12	0613-4573	CSE 4573	Green Computing	3

The notional hours of theory, lab, industrial attachment and final year project

Each notional hour corresponds to one credit hour. Each notional hour corresponds to one credit hour. The notional hours for a one-credit course vary depending on the type of academic activity, such as theory classes, laboratory sessions, industrial attachments, and final year projects.

For Theory:

Learning Activities	Hour/Credit
Class (14 weeks)	14 hours
Independent Learning	14 hours
Tutorial	5 hours
Home Assignment	2 hours
Mid Exam	30 mins
Class Test	30 mins
Case Study/ Group Dissuasion	5 hours
Exam Preparation	8 hours
Final	1 hour
Total	50 hours

For Lab:

Learning Activities	Hour/Credit
Class (14 weeks)	28 hours
Independent Learning	14 hours
Tutorial	3 hours
Report Writing	22 hours
Lab Exam	3 hours
Group Discussion	3 hours
Exam Preparation	2 hours
Total	75 hours

For Industrial Training:

Learning Activities	Hour/Credit
Intern period (15 days minimum)	75 hours
Report Writing	3 hours
Case study/ Discussion with Teachers/Supervisors	2 hours
Defense Preparation	1 hour 30 min
Presentation	30 min
Total	82 hours

For Project:

Learning Activities	Hour/Credit
Project Work	60 hours
Report Writing	5 hours
Case study/ Discussion with Teachers/Supervisor	10 hours
Defense Preparation	5 hours
Presentation	1 hours
Total	81 hours

Year/Level/Semester/Term wise distribution of courses

First Year /Semester 1
Course Code	Course Title	Theory Hrs./Week	Sessional Hrs./week	Credits
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	Credits
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	Credits
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	Credits
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	Microprocessors & Microcontrollers Laboratory		3	1.50
Total		15	9	19.50

Elective Basic Science & Mathematics Courses (One course)

Course Code	Course Title	Credits
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 3317	Artificial Intelligence	3		3.00
CSE 3318	Artificial Intelligence 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	Credits
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 3567	Computer Networks	3		3.00
CSE 3568	Computer Networks Laboratory		3	1.50
CSE 4637	Computer and Cyber Security	3		3.00
CSE 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	Credits
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

Description of all courses of the program including the following information for each course

Language & Generals Education Courses

Course Title: General English
Course Code: ENG 1101
Course Type: Language and 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 knowladge.
To improve the ability to recognize and fashion rhetorical and linguistic discourse and the manipulation of sound reasoning.
To grow competence in textual analysis.

Course Description:
ENG 1101 - General English: ENG 1101 is designed to enhance students' proficiency in the English language, focusing on the development of fundamental skills such as grammar, vocabulary, reading comprehension, writing, and speaking. The course encourages students to engage in both structured and creative writing activities, improve their ability to articulate ideas clearly, and understand various genres of texts. Through classroom discussions and interactive tasks, students work towards becoming confident communicators, equipped with the necessary skills for academic and professional success in English-speaking environments.

Course Title: Functional Bengali Language ( প্রায়োগিক বাংলা ভাষা ) Course Code: BAN 1101
Course Type: Language and 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 Description:
BAN 1101 - Functional Bengali Language (প্রায়োগিক বাংলা ভাষা): BAN 1101 emphasizes the practical aspects of the Bengali language, enabling students to use it effectively in academic, professional, and everyday contexts. The course focuses on enhancing students’ skills in reading, writing, and speaking Bengali, with an emphasis on functional language use such as drafting letters, reports, and formal documents. Additionally, it integrates aspects of Bengali culture, literature, and communication, preparing students to interact proficiently in both personal and professional Bengali-speaking environments.

Course Title: Communicative English
Course Code: ENG 1102
Course Type: Language and General Education	Credits: 1.5
Status: Sessional	Pre-requisite: General English

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 situations.
Allow students to listen to standard conversations, lectures, and discussions and answer relevant questions.
Strengthen students' written and verbal presentation skills to prepare them to narrate various types of observations;

Course Description:
ENG 1102 - Communicative English: ENG 1102 focuses on improving students’ verbal and written communication in English through interactive learning. The course aims to refine students’ ability to communicate fluently and confidently in a variety of settings, from casual conversations to formal presentations. Emphasis is placed on the practical use of English in real-life situations, with activities like group discussions, debates, and role-playing. Students also work on listening skills, pronunciation, and non-verbal communication, preparing them to engage effectively in both personal and professional interactions.

Course Title: Technical Writing and Presentation
Course Code: ENG 4104
Course Type: Language and General Education	Credits: 1.5
Status: Sessional	Pre-requisite: Communicative English

Course Rationale:

This course is designed to develop students’ skills of academic writing, in particular, scientific and technical writing, and effective presentation of research works, for example, project report in both written and spoken mode. In addition, this course also helps developing students’ academic reading skills.

Course Objectives:

The objectives of this course are-

To study sentence construction, joining, expanding, contraction and their logical development for clear communication.
To learn various academic reading techniques to comprehend various academic texts.
To learn and apply various potential skills of effective written and oral presentation.
To learn different types of writings, in particular, scientific and technical writing skills and their applications for clear and effective communication.

Course Description:
ENG 4104 - Technical Writing and Presentation: ENG 4104 equips students with the essential skills required to communicate technical information clearly and professionally. The course covers the structure and style of technical writing, including writing research papers, reports, manuals, and proposals. Students are trained in using technical language appropriately and effectively for different audiences. In addition to writing skills, the course includes a focus on technical presentation techniques, teaching students how to deliver organized, concise, and visually engaging presentations in front of an audience, with a focus on clarity and impact.

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 Bangladesh.
To present the students with a brief Political history of Post Liberation Bangladesh.
To assist the students in knowing about the progression of Socio-economic condition of Bangladesh.
To assist the students in knowing about the Education and Enlightenment of Bangladesh.
To help the students to know about the multi-dimensional character of Bangladesh and its people.

Course Description:
SSC 1101 - Bangladesh Studies: SSC 1101 provides a comprehensive overview of Bangladesh’s history, geography, culture, politics, and socio-economic development. The course offers insights into the nation’s past, from its liberation war to its present-day challenges and achievements. Students explore Bangladesh’s role in the global context, its political structure, economic growth, and social issues. The course fosters a deep understanding of the country’s identity and its contributions to regional and global affairs, while encouraging students to reflect on its diverse cultural heritage and contemporary challenges.

Course Title: Society, Engineering Ethics and Environmental Protection
Course Code: HUM 3101
Course Type: Language and 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 development.
To understand ethical principles, responsibilities, and norms of engineering practice.

Course Description:
HUM 3101 - Society, Engineering Ethics, and Environmental Protection: HUM 3101 explores the intersection of engineering practices, ethical responsibility, and environmental sustainability. The course introduces students to the principles of engineering ethics, highlighting the moral obligations of engineers in their professional lives. Through case studies and discussions, students examine the impact of engineering decisions on society and the environment. The course also covers the critical role of engineers in promoting sustainable development, focusing on how ethical considerations and environmental protection are integral to responsible engineering practices. By the end of the course, students are expected to think critically about their future roles as engineers in a socially and environmentally responsible manner.

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

Course Rationale:

This course is planned to make the students oriented with the basic concepts of Economics.

Course Objectives:

The objectives of this course are-

Assist students to conceptualize the basic concepts of economics.
Introduce them with the basic microeconomic and macroeconomic concepts.
Accustom them with initial demand, supply and equilibrium models.
Help them determination process of theoretically and algebraically.
Understand the roles of demand management policies and international trade in the related field.

Course Description:
ECO 1101 - Engineering Economics: ECO 1101 introduces students to the principles of economics as applied to engineering projects and decision-making. The course focuses on understanding the financial aspects of engineering work, such as cost estimation, budgeting, and economic analysis for project feasibility. Topics like time value of money, depreciation, investment analysis, and risk management are covered to equip students with the tools to make economically sound decisions in engineering and technological fields. Students learn how to evaluate costs and benefits, ultimately developing skills to balance financial and technical considerations in engineering projects.

Course Title: Sociology for Science and Technology	Course Code: SOC 1109
Course Type: Language and 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 technology.
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 production.

Course Description:
SOC 1109 - Sociology for Science and Technology: SOC 1109 examines the social dimensions of science, technology, and innovation. The course explores how societal values, cultural beliefs, and social structures influence the development and application of technology. It also looks at the social impact of technological advancements, including ethical concerns, environmental considerations, and issues of access and inequality. By studying the relationship between society and technology, students gain a deeper understanding of how technological progress shapes, and are shaped by, social contexts and human behavior.

Course Title: Financial and Managerial Accounting
Course Code: ACC 1501
Course Type: Language and 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 account.
To help students conceptualize basic theories on the preparation of financial statement.
To facilitate with the basic knowledge of cost accounting.
To provide the knowledge of partnership account for a business organization.
To acquaint students with the knowledge of liabilities and contingencies regarding business organization.

Course Description:
ACC 1501 - Financial and Managerial Accounting: ACC 1501 provides an introduction to both financial and managerial accounting, focusing on the key concepts, principles, and practices used in business and management. The financial accounting component teaches students how to prepare and analyze financial statements, while managerial accounting focuses on using accounting information for decision-making, budgeting, and performance evaluation. Through case studies and practical exercises, students develop the ability to interpret financial data and use it to inform business strategies and operations.

Course Title: Project Management and Entrepreneurship
Course Code: MGT 3301
Course Type: Language and General Education	Credits: 03
Status: Theory	Pre-requisite: Information System Design

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 build foundation of the management of a complex engineering project.
To analyze the risk of a complex engineering project.
To understand the basic role of a project manager and basic needs for being an entrepreneur.

Course Description:
MGT 3301 - Project Management and Entrepreneurship: MGT 3301 is designed to provide students with the essential skills and knowledge needed to manage projects and develop entrepreneurial ventures. The course covers project planning, scheduling, budgeting, and risk management, along with the tools and techniques required for successful project execution. It also explores the fundamentals of entrepreneurship, including identifying opportunities, developing business plans, and launching new ventures. By the end of the course, students are equipped to manage complex projects and pursue entrepreneurial goals effectively.

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 management.
acquaint students with the process of developing an operations strategy to achieve competitive advantage.
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 organization.
enable students to apply different inventory control techniques used by organizations in real word.

Course Description:
MGT 4562 - Operational Management: MGT 4562 focuses on the efficient management of operations in both manufacturing and service organizations. The course examines core concepts such as process optimization, supply chain management, quality control, inventory management, and production planning. Students learn to design, analyze, and improve business operations to increase productivity and reduce costs. The course emphasizes the application of operational strategies in real-world business environments, preparing students to manage and streamline operational processes in diverse sectors.

Course Title: Business Communication	Course Code: BUS 2413
Course Type: Language and General Education	Credits: 03
Status: Theory	Pre-requisite: MGT 4562: Operational Management

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 life.
provide students with a detailed knowledge of business communication and report writing.
help students deliver oral presentation both in a formal and informal environment.
make students confident and skilled in communication relative to securing employment.

Course Description:
BUS 2413 - Business Communication: BUS 2413 is designed to improve students’ communication skills in the context of business. The course covers key areas of written and oral communication, including email etiquette, business writing, report creation, and presentation skills. Students learn how to communicate effectively in professional settings, ensuring clarity, conciseness, and professionalism in their interactions. The course also explores communication strategies for teamwork, negotiations, and conflict resolution, enabling students to navigate complex business environments with confidence.

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 years.
To make the students able to know the history of the partition of Bengal and its aftermath.
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 significance.
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 Description:
HUM 1101 - History of the Emergence of Bangladesh: HUM 1101 provides an in-depth study of the historical events leading to the creation of Bangladesh. The course examines the political, social, and cultural factors that contributed to the emergence of the nation, starting from its early history to the independence movement and the eventual liberation war of 1971. Students gain insight into the challenges and aspirations of the Bengali people throughout history, the role of key figures, and the broader global context of independence movements. This course fosters an understanding of Bangladesh's history and the formation of its national identity.

Basic Science & Mathematics Courses

Course Title: Introduction to Classical and Modern Physics
Course Code: PHY 1103
Course Type: Basic Science and Mathematics	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 mechanics.
To help students understand the basics of modern physics.

Course Description:
PHY 1103 - Introduction to Classical & Modern Physics: PHY 1103 provides a foundational understanding of both classical and modern physics, covering essential topics such as mechanics, thermodynamics, electromagnetism, relativity, and quantum theory. The course introduces the fundamental principles governing the physical world, emphasizing both theoretical concepts and practical applications. Students explore the evolution of physics from Newtonian mechanics to the more contemporary developments in quantum and relativistic physics. This course helps students develop critical thinking skills and a deeper understanding of how the physical world operates.


Course Title: Physics Laboratory
Course Code: PHY 1104
Course Type: Basic Science and Mathematics	Credits: 0.75
Status: Sessional	Pre-requisite: PHY 1103: Classical and Modern Physics (Concurrent or Completed)

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 laboratory.
To facilitate students with foundation skills of using physics laboratory instruments.
To demonstrate the ability to present the results of investigations orally and in writing.

Course Description:
PHY 1104 - Physics Laboratory: PHY 1104 is a hands-on laboratory course designed to complement the theoretical knowledge gained in PHY 1103. Students engage in experiments that demonstrate key concepts in classical and modern physics, such as measuring forces, investigating energy transformations, and observing wave phenomena. The course emphasizes experimental design, data collection, and analysis, helping students develop practical skills in scientific inquiry, critical thinking, and problem-solving. It also encourages teamwork and communication of scientific results.

Course Name: Biology for Engineers
Course Code: BIO 2101
Course Type: Basic Science and Mathematics	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 & instruments.
To familiarise students with the application and operation of medical imaging systems.

Course Description:
BIO 2101 - Biology for Engineers: BIO 2101 is a specialized course designed to provide engineering students with a foundational understanding of biological concepts relevant to their field. The course covers topics such as cell biology, genetics, physiology, and microbiology, with a focus on applications in biomedical engineering, environmental engineering, and biotechnology. Students learn how biological systems function, interact with technology, and influence engineering solutions, particularly in areas like bioengineering, environmental sustainability, and medical devices.

Course Title: Chemistry
Course Code: CHE 1101
Course Type: Basic Science and Mathematics	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 & bonding.
To help students understand periodic table.
To familiarize students with basic understating of electrochemistry, battery & fuel cells.

Course Description:
CHE 1101 - Chemistry: CHE 1101 introduces students to the fundamental principles of chemistry, focusing on the composition, properties, and reactions of matter. The course covers topics such as atomic structure, chemical bonding, stoichiometry, thermodynamics, and chemical kinetics. Students also explore organic and inorganic chemistry, with practical applications in engineering processes, material science, and environmental chemistry. By the end of the course, students are equipped with a solid understanding of chemical concepts that are critical for solving engineering problems and conducting laboratory work.

Course Name: Semiconductor Physics and Devices
Course Code: EEE 2211
Course Type: Basic Science and Mathematics	Credits: 03
Status: Theory	Pre-requisite: PHY 1103: Introduction to Classical and Modern Physics

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 materials.
To facilitate necessary knowledge about the structure and operations of different semiconductor devices.

Course Description:
EEE 2211 - Semiconductor Physics & Device: EEE 2211 delves into the physics of semiconductors and the principles behind semiconductor devices, which are central to modern electronics. The course covers the electronic properties of semiconductors, energy bands, and the behavior of charge carriers. Topics also include the working principles of semiconductor devices like diodes, transistors, and integrated circuits. Students gain an understanding of how semiconductor materials are used to build devices that power modern technology, including computers, communication systems, and renewable energy solutions. This course is essential for students pursuing careers in electronics, telecommunications, and electrical engineering.

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

Rationale:

This course aims to build up basics of differential & integral calculus in the context of Computer Science and Engineering applications.

Objectives:

The objectives of this course are-

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

Course Description:
MAT 1203 - Differential and Integral Calculus: MAT 1203 is an introductory course in calculus, focusing on the fundamental concepts of differentiation and integration. Students learn how to calculate the rates of change of functions and solve problems related to areas under curves and volumes of solids. The course covers limits, continuity, derivatives, integrals, and their applications in real-world problems. By the end of the course, students develop the mathematical tools necessary for solving complex problems in engineering, science, and economics.

Course Title: Coordinate Geometry and Vector Analysis
Course Code: MAT 1205
Course Type: Basic Science and Mathematics	Credits: 03
Status: Theory	Pre-requisite: MAT 1203:Differential and Integral Calculus

Course Rationale:

This course aims to build up basics of co-ordinate geometry & vector analysis in the context of Computer Science and Engineering applications.

Course Objectives:

The objectives of this course are-

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

Course Description:
MAT 1205 - Coordinate Geometry & Vector Analysis: MAT 1205 introduces students to the study of geometric properties using algebraic methods, focusing on coordinate geometry and vector analysis. Topics include the Cartesian coordinate system, lines, circles, conic sections, and three-dimensional geometry. The course also covers vector operations, including dot and cross products, and their applications in physics and engineering. Students develop skills in solving geometric and algebraic problems using analytical techniques, which are foundational for advanced studies in mathematics and applied sciences.

Course Title: Numerical Methods
Course Code: MAT 2304
Course Type: Basic Science and Mathematics	Credits: 1.5
Status: Sessional	Pre-requisite: Programming Fundamentals

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 demonstrate aptitude in standard numerical techniques.
To learn error estimations for numerical derivative formulae.
To demonstrate implementation of numerical methods for engineering problems.

Course Description:
MAT 2304 - Numerical Methods: MAT 2304 focuses on numerical techniques used to solve mathematical problems that cannot be solved analytically. The course covers methods such as root-finding algorithms, numerical integration and differentiation, solving systems of equations, and interpolation. Students learn to implement these methods using computational tools, gaining experience in algorithm development and problem-solving. This course is particularly valuable for fields like engineering, physics, and computer science, where numerical simulations are essential for practical applications.

Course Title: Matrix, Linear Algebra, and Differential Equation
Course Code: MAT 2207
Course Type: Basic Science and Mathematics	Credits: 03
Status: Theory	Pre-requisite: Differential and Integral Calculus

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 problems.
To develop the ability to solve differential equations in the context of computer engineering.

Course Description:
MAT 2207 - Matrix, Linear Algebra, Differential Equation: MAT 2207 is a comprehensive course that integrates key concepts from matrix theory, linear algebra, and differential equations. Students study matrices, vector spaces, eigenvalues, and eigenvectors, which are essential tools for solving systems of linear equations and understanding higher-dimensional spaces. The course also covers first-order and higher-order differential equations, focusing on methods for solving them and applying them to real-world problems in science and engineering. This course builds critical mathematical skills necessary for tackling complex systems and models.

Course Title: Statistics and Probability
Course Code: STA 2107
Course Type: Basic Science and Mathematics	Credits: 03
Status: Theory	Pre-requisite: Differential and Integral Calculus

Course Rationale:

This course aims to make students understand the basics of statistical data analysis in the context of Computer Science and Engineering applications.

Course Objectives:

The objectives of this course are:

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

Course Description:
STA 2107 - Statistics and Probability: STA 2107 introduces students to the fundamental concepts of statistics and probability theory, focusing on methods for analyzing and interpreting data. The course covers probability distributions, descriptive statistics, hypothesis testing, and regression analysis. Students learn how to apply statistical methods to real-world data, draw conclusions from data sets, and understand the role of uncertainty in decision-making. The course provides a strong foundation for fields such as economics, engineering, biology, and social sciences, where data analysis plays a critical role.

Core Courses

Course Title: Programming Fundamentals
Course Code: CSE 1113
Course Type: Core Course	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 language.
To help students to analyze and design programs to solve different problems using different library functions of a programming language. (Rewrite the statements, analyze the problem, design the solutions)
To learn the use of user-defined functions and data types for designing program.
To learn the foundational skills of adapting a new programming language.

Course Description:
CSE 1113 - Programming Fundamentals: CSE 1113 introduces students to the basics of programming, focusing on developing skills to write, test, and debug code. The course covers fundamental programming concepts such as variables, data types, control structures (if-else, loops), functions, and arrays. Students use a high-level programming language to solve simple problems, building a solid foundation for more advanced programming topics. The course encourages logical thinking and problem-solving, essential skills for any aspiring software developer.

Course Title: Programming Fundamentals Laboratory
Course Code: CSE 1114
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 1113: Programming Fundamentals (concurrent or completed)

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

Course Description:
CSE 1114 - Programming Fundamentals Laboratory: CSE 1114 complements CSE 1113 by providing hands-on experience with programming tasks. Students apply the concepts learned in the theory class by writing and testing programs to solve practical problems. The laboratory provides a platform for students to experiment with different programming techniques, debugging methods, and software development tools. Through individual and group activities, students reinforce their understanding of programming and develop their coding skills.

Course Title: Object Oriented Programming
Course Code: CSE 1115
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 113:Programming Fundamentals

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

Course Description:
CSE 1115 - Object Oriented Programming: CSE 1115 introduces students to the principles of object-oriented programming (OOP), which includes concepts such as classes, objects, inheritance, polymorphism, and encapsulation. The course teaches students to design and implement software using an object-oriented approach, emphasizing modularity, reusability, and maintainability. Students work with a widely-used object-oriented programming language (such as Java or C++) to create structured, scalable, and efficient code for real-world applications.

Course Title: Object Oriented Programming Laboratory
Course Code: CSE 1116
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 1115: Object Oriented Programming (concurrent or completed)

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 programs.
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 Description:
CSE 1116 - Object Oriented Programming Laboratory: CSE 1116 is the practical laboratory course that complements CSE 1115. Students work on hands-on projects that require them to implement object-oriented concepts such as creating classes, defining methods, and managing relationships between objects. Through exercises and group projects, students learn to apply OOP principles to solve complex software engineering problems, improving both their programming and design skills.

Course Title: Competitive Programming
Course Code: CSE 1110
Course Type: Core Course	Credits: 0.75
Status: Sessional	Pre-requisite: Programming Fundamentals

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 problems.
Improve the ability of working in a team by participating in competitive programming.

Course Description:
CSE 1110 - Competitive Programming: CSE 1110 focuses on developing problem-solving and algorithmic skills in the context of competitive programming. The course prepares students for programming contests and challenges by teaching them how to approach complex problems efficiently. Students learn advanced algorithms, data structures, and optimization techniques to solve problems quickly and accurately. The course enhances students' ability to think critically and analytically, which is crucial for excelling in coding competitions and real-world software development.

Course Title: Digital Electronics and Pulse Technique
Course Code: EEE 2201
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: EEE 1201: Electronics Devices and Circuits

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 circuits.
To understand, analyze and design various combinational and sequential circuits.
To design and use diodes and transistors as switching circuits.
To construct the logic families, multi-vibrator circuits, and memory elements.

Course Description:
EEE 2201 - Digital Electronics and Pulse Technique: EEE 2201 introduces students to the fundamentals of digital electronics, focusing on binary logic, digital circuits, and pulse techniques. Topics include Boolean algebra, logic gates, flip-flops, multiplexers, decoders, and counters. The course provides a strong foundation for understanding how digital systems work and prepares students for more advanced topics in electronics and computer engineering. Applications in fields like digital communication and computer hardware are also explored.

Course Title: Digital Electronics and Pulse Technique Laboratory
Course Code: EEE 2202
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: EEE 2201: Digital Electronics and Pulse Technique (concurrent or completed)

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 design.
To understand the basic digital circuits and verify their operations.

Course Description:
EEE 2202 - Digital Electronics and Pulse Technique Laboratory: EEE 2202 is the laboratory course that complements the theory in EEE 2201. Students engage in hands-on experiments where they design, implement, and test digital circuits, using tools like logic analyzers and oscilloscopes. The lab sessions provide practical experience in building digital systems and troubleshooting issues, helping students to understand theoretical concepts through experimentation.

Course Title: Microprocessors and Microcontrollers
Course Code: CSE 3815
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: EEE 2201: Digital Electronics and Pulse Technique

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

To write and execute fundamental assembly language programs.
To comprehend the architecture, functions, and generations of microprocessors and microcontrollers.
To understand embedded system characteristics and components through real-world case studies.

Course Description:
CSE 3815 - Microprocessors and Microcontrollers: CSE 3815 covers the architecture and operation of microprocessors and microcontrollers, which are the core components of embedded systems. Students learn about the internal structure of microprocessors, instruction sets, interfacing, and programming techniques. The course also includes the study of peripheral devices, memory management, and real-time systems. Practical applications, such as controlling devices or automating processes, are explored through real-world examples.

Course Title: Microprocessors and Microcontrollers Laboratory
Course Code: CSE 3816
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: Digital Electronics and Pulse Technique Laboratory

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

To acquaint students with the simulation tools and components of the microprocessor and microcontroller.
To develop the ability to program embedded systems and test the physical characteristics of different components.
To develop practical circuits that describes the basic phenomenon of embedded systems and circuits.
To gain the fundamental knowledge of design concepts and design issues of embedded systems.

Course Description:
CSE 3816 - Microprocessors and Microcontrollers Laboratory: CSE 3816 complements CSE 3815 by offering practical experience with microprocessor and microcontroller systems. Students perform hands-on experiments where they program microcontrollers to interface with hardware components like sensors, motors, and displays. The laboratory gives students the opportunity to design, implement, and debug embedded systems, deepening their understanding of microprocessor operations and embedded applications.

Course Title: Computer Organization and Architecture
Course Code: CSE 3737
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 3815: Microprocessors and Microcontrollers

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 systems.
To identify the elements of modern instruction sets and their impact on processor design.
To develop skills to communicate with I/O devices and standard I/O interfaces.
To accumulate basic ideas about hardware connection in the system.

Course Description:
CSE 3737 - Computer Organization & Architecture: CSE 3737 focuses on the structure and operation of computer systems, including the design and function of processors, memory systems, and input/output devices. Students learn about the fundamental concepts of computer organization, such as data representation, instruction sets, CPU architecture, and system performance optimization. The course also introduces the principles of assembly language programming and machine-level operations, providing a deeper understanding of how computers execute programs and manage resources.

Course Title: Discrete Mathematics and Number Theory
Course Code: CSE 1411
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite:

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:

To understand the concepts and methods of discrete mathematics.
To develop the ability in evaluating elementary mathematical arguments and analyzing reasons.
To apply appropriate mathematical concepts and operations to interpret data in problem solving.
To enhance logical thinking for demonstrating the basic algorithms.

Course Description:
CSE 1411 - Discrete Mathematics and Number Theory: CSE 1411 covers mathematical concepts essential for computer science, focusing on discrete structures such as sets, logic, relations, graphs, and combinatorics. The course also delves into number theory, including prime numbers, modular arithmetic, and cryptographic algorithms. Students learn how to apply these mathematical principles to solve problems in computer algorithms, data structures, and cryptography.

Course Title: Data Structures
Course Code: CSE 1413
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 1113: Programming Fundamentals

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 implementations.
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 Description:
CSE 1413 - Data Structures: CSE 1413 introduces students to essential data structures used in computer science, including arrays, linked lists, stacks, queues, trees, and graphs. The course emphasizes the importance of choosing appropriate data structures for different computational problems, as well as the analysis of their time and space complexities. Students also learn how to implement and manipulate these structures efficiently to solve complex problems in software development.

Course Title: Data Structure Laboratory
Course Code: CSE 1414
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 1413: Data Structure (Concurrent or completed)

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

Course Description:
CSE 1414 - Data Structures Laboratory: CSE 1414 is the hands-on lab course that accompanies CSE 1413. In the lab, students implement and test data structures such as lists, stacks, and trees, and gain experience in optimizing and analyzing their performance. The laboratory provides practical experience in writing code to manage and process data, giving students a solid foundation in both the theoretical and practical aspects of data structures.

Course Title: Algorithms
Course Code: CSE 2415
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 1413: Data Structure

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:

To acquaint students with the major algorithms and data structures.
To learn the analytical and critical analysis of algorithmic design paradigms and methods.
To apply the knowledge of asymptotic performance of algorithms.
To utilize relevant knowledge of algorithms in common engineering design situations.

Course Description:
CSE 2415 - Algorithms: CSE 2415 covers algorithm design, analysis, and optimization. Students learn about common algorithmic techniques such as divide and conquer, dynamic programming, greedy algorithms, and backtracking. The course emphasizes the importance of algorithm efficiency, focusing on time and space complexity analysis using Big O notation. Students gain the skills needed to solve complex computational problems efficiently, making them proficient in developing algorithms for a variety of applications.

Course Title: Algorithms Laboratory
Course Code: CSE 2416
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 2415: Algorithms (concurrent or completed)

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:

To gain a general understanding of basic algorithms.
To develop programming skills for solving real time problem using algorithm.
To evaluate and compare different algorithms in the context of time and space complexity.

Course Description:
CSE 2416 - Algorithms Laboratory: CSE 2416 provides a practical, hands-on approach to algorithm implementation. Students work on coding and testing the algorithms they study in CSE 2415, learning how to implement them in programming languages like C++ or Python. The laboratory focuses on algorithm optimization, performance analysis, and real-world applications, allowing students to understand how theoretical algorithms can be used in practical programming scenarios.

Course Title: Database Management System	Course Code: CSE 2221
Course Type: Core Course	Credits: 03
Status: Theory.	Pre-requisite: CSE 1413: Data Structures

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 Description:
CSE 2221 - Database Management Systems: CSE 2221 introduces students to the fundamentals of database systems, including database design, query languages (particularly SQL), and data modeling techniques. Students learn how to design relational databases, structure data for efficient querying, and ensure data integrity and security. The course covers database normalization, indexing, transactions, and concurrency control, providing students with the knowledge to develop and manage databases in a variety of applications.

Course Title: Database Management System Laboratory	Course Code: CSE 2222
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 2221: Database Management System (Concurrent or completed)

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 Description:
CSE 2222 - Database Management Systems Laboratory: CSE 2222 is the practical laboratory course that complements CSE 2221. Students work with database management software, such as MySQL or PostgreSQL, to design and implement databases based on real-world requirements. The lab sessions focus on writing SQL queries, creating tables, optimizing database performance, and ensuring data consistency, allowing students to gain practical experience in managing databases.

Course Title: Information System Design
Course Code: CSE 3211
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 2221: Database Management System

Course Rationale:

The purpose 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 systems.

Course Description:
CSE 3211 - Information System Design: CSE 3211 teaches students how to design and develop information systems for organizations. The course covers topics such as system analysis, requirement gathering, system modeling, and database design. Students learn how to apply methodologies like the systems development life cycle (SDLC) to create efficient, user-centered information systems that meet organizational needs. The course emphasizes the integration of software, databases, and user interfaces in system design.

Course Title: Software Engineering	Course Code: CSE 3233
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 2221: Database Management System+ CSE 2415: Algorithm

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 Description:
CSE 3233 - Software Engineering: CSE 3233 focuses on the principles and practices of software development, covering software life cycles, project management, requirements engineering, design patterns, testing, and maintenance. The course emphasizes team collaboration, agile methodologies, and best practices for delivering high-quality software. Students also learn to apply software engineering techniques to build reliable, maintainable, and scalable software systems.

Course Title: Software Engineering Laboratory
Course Code: CSE 3234
Course Type: Core Course	Credits: 0.75
Status: Sessional	Pre-requisite: Information System Design

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 objectives of the course are

To nurture students' expertise, skillfulness, and understanding in software engineering across all stages of software development.
To apply software modeling skills based on provided specifications.
To enhance students' ability to conceptualize, design, and architect software systems.
To design and develop software products that prioritize security measures and adhere to budget constraints, instilling organizational skills and a systematic approach to software development.

Course Description:

CSE 3234 - Software Engineering Laboratory: CSE 3234 provides practical experience in software engineering, where students work on group projects to develop software applications using industry-standard tools and techniques. The lab emphasizes the software development lifecycle, including planning, coding, testing, and deployment. Students gain hands-on experience with version control, debugging, and collaborating in teams, simulating real-world software engineering practices.

Course Title: Mobile Application Development	Course Code: CSE 2210
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: Object Oriented Programming Laboratory

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 framework.

Course Description:
CSE 2210 - Mobile Application Development: CSE 2210 introduces students to the development of mobile applications for platforms such as Android and iOS. The course covers topics like mobile UI/UX design, app functionality, and mobile development frameworks. Students learn how to create mobile applications, integrate APIs, and handle data storage and communication. By the end of the course, students have the skills to design and build functional, user-friendly mobile apps.

Course Title: Internet Programming
Course Code: CSE 3210
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 1113: Programming Fundamentals

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 fundamentals of internet programming using latest technologies.
To apply the knowledge of various web programming languages in solving the real- world problems.
To familiarize with content management systems for developing web application.

Course Description:
CSE 3210 - Internet Programming: CSE 3210 focuses on the technologies and techniques used to develop web applications. The course covers both front-end (HTML, CSS, JavaScript) and back-end (server-side scripting, databases) development. Students learn how to design, build, and deploy dynamic websites and web applications


Course Name: Computer Fundamental and Ethics Course Code: CSE 1111
Course Type: Core Course			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 systems.
To introduce the basic use of computer hardware and software, networking, and the internet.
To help students hands-on use of: Word processing, Spreadsheet, and Presentation applications.
To familiarize with number systems.
To introduce ethical and privacy issues in cyber world.

Course Description:
CSE 1111 – Computer Fundamentals and Ethics: CSE 1111 provides an introduction to computer systems, covering hardware, software, operating systems, and business applications. It explores trending technologies like AI, ML, IoT, robotics, cloud computing, and their societal impacts. The course includes hands-on training in office applications (word processing, spreadsheets, databases, presentations), basics of number systems and character encoding (ASCII, Unicode, JIS), and emphasizes ethics, privacy, cybersecurity, and intellectual property to promote responsible use of technology.

Course Title: Operating Systems	Course Code: CSE 3733
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 3815: Microprocessors and Microcontrollers

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 understand the function, structure and aspects 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 synchronization.

Course Description:
CSE 3733 - Operating Systems: CSE 3733 introduces core OS concepts, including system structure, kernel, and hardware interaction. Topics include process management, CPU scheduling, multithreading, memory management, deadlock handling, file systems, and virtualization. The course also covers cloud computing, distributed systems, and OS security, with case studies of real-world operating systems.

Course Title: Operating Systems Laboratory	Course Code: CSE 3734
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 3733: Operating Systems (Concurrent or completed)

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 Systems.
To familiarize students with the architecture of an OS.
To provide necessary skills for configuring servers and automate tasks by using shell scripting.

Course Description:
CSE 3734 - Operating Systems Laboratory: CSE 3734 provides hands-on experience with core operating system concepts through practical implementation. Students will work on process creation, inter-process communication, CPU scheduling, memory management, file systems, and deadlock handling. The lab also includes experiments on multithreading, virtualization, and basic system-level programming, reinforcing theoretical knowledge through real-world simulations and case studies.

Course Title: Computer Networks	Course Code: CSE 3567
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 2415: Algorithms

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 architectures.
Introduce advanced topics such as error detection techniques, network security, network management, multimedia networking protocols, and/or other topics.

Course Description:
CSE 3567 - Computer Networks: CSE 3567 offers a detailed understanding of the Internet, its architecture, and core networking concepts. The course covers protocol layers, packet and circuit switching, delay and throughput, and the evolution of computer networks. It explores the application layer, including HTTP, DNS, email, P2P, and video streaming. Key transport layer protocols such as TCP and UDP are examined alongside multiplexing and demultiplexing. The network layer includes IP addressing, routing algorithms, subnetting, DHCP, NAT, and IPv6. Students learn about SDN, BGP, OSPF, and traffic engineering. The link layer introduces error detection, MAC protocols, Ethernet, ARP, VLANs, and switching. The course also covers wireless and mobile networks like Wi-Fi, Bluetooth, 4G/5G, and concludes with essential network security concepts and defense mechanisms.

Course Title: Computer Networks Laboratory	Course Code: CSE 3568
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 3567: Computer Networks (concurrent or completed)

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 connections.
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 topics.

Course Description:
CSE 3568 - Computer Networks Laboratory: CSE 3568 offers practical experience through lab exercises and project work based on the theory course CSE 3567. Students will implement and analyze key networking concepts such as socket programming, client-server communication, DNS resolution, and HTTP transactions. The lab also includes experiments with TCP/UDP protocols, packet sniffing using tools like Wireshark, subnetting, routing algorithms, ARP, and DHCP. Additionally, students will explore basic network simulation, wireless communication, and network security practices, enhancing their understanding of network design, operation, and troubleshooting.

Course Title: Artificial Intelligence
Course Code: CSE 3317
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 2415: Algorithms

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 historical perspective of AI fundamental problems, and the state-of-the-art algorithms.
To familiarize with basic principles of AI toward problem solving, inference, perception, knowledge representation, and learning.
To investigate applications of AI techniques in intelligent agents, expert systems, and other machine learning models.

Course Description:
CSE 3317 - Artificial Intelligence: CSE 3317 introduces the foundational concepts, techniques, and applications of AI. The course covers intelligent agents, search strategies (both uninformed and informed), local search, and constraint satisfaction problems. Students explore game theory, adversarial search, and optimization strategies like alpha-beta pruning and Nash equilibrium. It delves into knowledge representation using first-order logic and predicate logic, as well as planning problems and algorithms. The reasoning module includes expert systems, probabilistic reasoning, and hidden Markov models. Learning paradigms such as supervised learning, Bayesian methods, genetic algorithms, and reinforcement learning are discussed. The course also introduces Natural Language Processing (NLP), covering syntactic structures, grammar formalisms, semantics, language models, word embeddings, and machine translation, providing students with a broad and practical understanding of modern AI systems.

Course Title: Artificial Intelligence Laboratory
Course Code: CSE 3318
Course Type: Core Course	Credits: 1.5
Status: Sessional	Pre-requisite: Programming Fundamentals Laboratory

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 Rule-based expert systems, 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 apply basic principles of AI toward problem solving, inference, perception, knowledge representation, and learning.
To develop decision-making skills in various AI fields by representing problems, implementing features with appropriate algorithms, critically interpreting results, and understanding evaluation metrics and error sources like overfitting and data sparsity.

Course Description:
CSE 3318 - Artificial Intelligence Laboratory: CSE 3318 provides hands-on experience with AI techniques like A* and Greedy Best-First Search, Hill Climbing, Simulated Annealing, Genetic Algorithms, Minimax Algorithm, and Alpha-Beta Pruning. Students will implement rule-based systems, Hidden Markov Models, and work with Python libraries such as Numpy, NLTK, Scikit-learn, and spaCy. The lab covers classification algorithms (Naive Bayes, SVM, Decision Trees, KNN, Neural Networks), clustering (K-Means, OPTICS), and model evaluation using metrics like accuracy and F1-score. The course includes a final project where students develop and present AI models.

Course Title: Computer and Cyber Security
Course Code: CSE 3637
Course Type: Core Course	Credits: 03
Status: Theory	Pre-requisite: CSE 3567: Computer Networks

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

To understand the fundamental of security, threats, attacks, protection and security objectives.
To determine various security objectives, types of attacks, and different models to recognize security requirements in real-life cases.
To design and implementation solutions for real-life security issues.

Course Description:
CSE 3637 - Computer and Cyber Security: CSE 3637 covers fundamental concepts of computer security, focusing on the CIA Triad (Confidentiality, Integrity, Availability) and various threats and attacks, including passive and active types. Students will learn about classical encryption techniques, cryptography, symmetric and asymmetric key encryption, including DES, AES, RSA, and Diffie-Hellman key exchange. The course delves into message authentication, hash functions, digital signatures, and authentication protocols. Network security practices such as IPsec, SSL/TLS, HTTPS, SSH, and wireless security (WEP, WPA, WPA2) are also explored. System security issues like malware, DDoS, Trojan horses, buffer overflow, and social engineering are addressed, along with intrusion detection systems (IDS), firewalls, and recovery methods.

Course Title: Theory of Computation	Course Code: CSE 3409
Course Type: Core Course	Credits: 2
Status: Theory	Pre-requisite: CSE 1411: Discrete mathematics and number theory

Course Rationale:

Theory of computation lays a strong foundation for abstract areas in computer science. Theory of computation teaches the learners about the elementary ways in which a computer can be made to think, how efficiently problems can be solved on a model of computation, using an algorithm, tends to set the foundation for understanding Compilers and interpreters.

Course Objectives:

The objectives of this course are:

To identify with the fundamental limits on what can be efficiently computed in our universe and other possible universes.
To analyze limits to reveal deep and mysterious properties about information, knowledge and processing, as well as practical issues about what can and cannot be computed.
To design & build models for complex computation.

Course Description:
CSE 3409 - Theory of Computation: CSE 3409 introduces foundational concepts in language theory and automata. The course covers regular languages, including deterministic and nondeterministic finite automata, their equivalence, and conversion techniques. It explores regular expressions, closure properties, and the pumping lemma. Students will study context-free grammars, pushdown automata, and parse trees, along with Turing machines and their configurations. The course also includes applications of the pumping lemma for context-free languages and Chomsky Normal Forms. Topics on decidability and the undecidability of the halting problem are addressed, along with reductions to other computational problems.

Elective Courses

Course Title: Software Testing and Quality Assurance	Course Code: CSE 4293
Course Type: Elective Course (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 3233: Software Engineering

Course Rationale:

This course is designed to facilitate the students' extended knowledge of software engineering to address advanced security concerns. The students will be familiarized with the best quality practices available with the provided materials.

Course Objectives:

The objective of the course is

To bring focus to QA and testing since many jobs and opportunities are available in this area.
To cover both technical foundations as well as managerial and organizational aspects.
To build the capacity of cost estimating, planning and designing test cases based on system requirements.

Course Description:
CSE 4293 - Software Testing and Quality Assurance: CSE 4293 focuses on the principles and practices of software testing and quality assurance (QA). Students learn about different types of testing (unit, integration, system, acceptance) and testing methodologies like black-box, white-box, and regression testing. The course emphasizes quality assurance techniques to ensure that software is reliable, functional, and meets user requirements. Students also explore software quality metrics, error detection, debugging, and tools for automating the testing process. This course is critical for ensuring that software products are free from defects and perform as expected.

Course Title: Software Testing and Assurance Quality Laboratory	Course Code: CSE 4294
Course Type: Elective Course (Software Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4293: Software Testing and Assurance Quality (Concurrent or Completed)

Course Rationale:

This course is designed to facilitate the students' implementing the fundamental concepts of software testing and quality assurance so that they will be able to contribute to the progressive benefits of a company

Course Objectives:

The objective of the course is

To implement the concepts of software testing for developing a reliable software product.
To implement necessary concepts to maintain the quality of a software.
To build the capacity of cost estimating, planning and designing test cases based on system requirements.

Course Description:
CSE 4294 - Software Testing and Quality Assurance Laboratory: CSE 4294 provides students with hands-on experience in applying software testing techniques and tools. In this laboratory, students design and conduct tests on software systems, perform debugging, and utilize automated testing tools. They learn how to identify defects, evaluate software quality, and improve the overall performance of software applications. The lab emphasizes practical skills in testing methodologies and tools that are essential for a career in software development and quality assurance.

Course Title: Game Design and Development	Course Code: CSE 4283
Course Type: Elective Course (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 1115: Object Oriented Programming

Course Rationale:

This course is aimed at providing fundamental knowledge in game development to anyone interested in pursuing a career in game development. Design ideas are reinforced through project-based assignments.

Course Objectives:

The objective of the course is

To provide students an in-depth introduction to technologies and techniques used in the game industry.
To familiarize students with the processes, mechanics, and issues in game design and development.
To teach students how to integrate various technologies such as multimedia, artificial intelligence, and networking into a cohesive, interactive game application.

Course Description:
CSE 4283 - Game Design and Development: CSE 4283 introduces students to the field of game design and development, covering the principles, techniques, and tools used to create interactive digital games. The course explores topics such as game mechanics, game engines, interactive storytelling, 3D modeling, and artificial intelligence in games. Students learn how to design engaging gameplay experiences and develop games using industry-standard game development platforms like Unity or Unreal Engine. By the end of the course, students have a solid understanding of the game development process, from concept to completion.

Course Title: Game Design and Development Laboratory	Course Code: CSE 4284
Course Type: Elective Course (Software Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4238: Game Design and Development (Concurrent or completed)

Course Rationale:

This course intends to equip students with the technical skills appropriate to contemporary digital games production.

Course Objectives:

The objective of the course is to

Introduce students with the fundamentals of using 2D and 3D graphics.
Acquaint students with advanced topics such as shaders, physics, AI, and Network based games.
Enable students to apply theories and develop and test an actual game.

Course Description:
CSE 4284 - Game Design and Development Laboratory: CSE 4284 is the laboratory component of CSE 4283, where students work on practical game development projects. They apply the concepts learned in the theory course to design, develop, and test interactive games. The lab focuses on using game engines, programming for gameplay, and integrating multimedia elements (e.g., graphics, sound, animation) into games. Students also gain experience working in teams, managing game development projects, and addressing technical challenges related to game performance and interactivity.

Course Title: Object Oriented Design	Course Code: CSE 4215
Course Type: Elective Subject (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 1115: Object Oriented Programming

Course Rationale:

Intended to enable the students to learn how to analyze, design and document system using established OO principles. It will also help to understand the problem and the solution better, communicate it more effectively and guide to develop and design a better and efficient system.

Course Objectives:

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

Apply the object-oriented design (OOD).
Understand the application of object-oriented analysis and design on major architectural patterns and frameworks.
Explain about assignment of responsibilities using methods of different types.
Build an application using object-oriented analysis and desing.

Course Description:
CSE 4215 - Object Oriented Design: CSE 4215 focuses on the principles of object- oriented design (OOD) and emphasizes the use of OOD techniques to solve complex software development problems. The course covers topics such as class design, design patterns, the Unified Modeling Language (UML), and object relationships (inheritance, composition, etc.). Students learn to apply best practices in object-oriented analysis and design, enabling them to create scalable, maintainable, and reusable software systems. The course emphasizes the importance of design principles in building efficient software architectures.

Course Title: Object Oriented Design Laboratory	Course Code: CSE 4216
Course Type: Elective Subject (Software Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4215: Object Oriented Design (Concurrent or completed)

Course Rationale:

This course will help to understand the problem and the solution better, communicate it more effectively and guide to develop and design a better and efficient system.

Course Objectives:

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

Understand the basic concepts of Object-Oriented Design.
Get familiar with tools and techniques of analysis.
Develop skill to design efficient and effective system.

Course Description:
CSE 4216 - Object Oriented Design Laboratory: CSE 4216 complements CSE 4215 by providing students with hands-on experience in object-oriented design. In this laboratory, students work on projects that involve designing and implementing object-oriented software systems using programming languages like Java or C++. The lab focuses on applying OOD concepts such as encapsulation, inheritance, and polymorphism, as well as creating UML diagrams to document design decisions. Students also engage in code reviews and collaborative design work, improving their ability to work in teams and produce high-quality software solutions.

Course Title: Advanced Database System	Course Code: CSE 4223
Course Type: Elective Subject (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 2221: Database Management System

Course Rationale:

This course covers the advanced features of modern database management systems and the concepts to design more complex database systems for real-world applications.

Course Objective:

The objectives of the course are

To introduce the design concepts for the implementation of schemes in database management systems like query processing and optimization, advanced access methods, transactions and concurrency control.
To analyze and compare different models and methods of recent database systems using complex data and functions.

Course Description:
CSE 4223 - Advanced Database System: CSE 4223 explores advanced concepts in database systems, such as distributed databases, database optimization, transaction management, and big data technologies. The course delves into database architectures, query optimization algorithms, and the challenges of managing large-scale data in real-world applications. Students learn about NoSQL databases, data warehousing, and advanced data models, preparing them for roles in database administration and data management in modern computing environments.

Course Title: Advanced Database Systems Laboratory
Course Code: CSE 4224
Course Type: Elective Subject (Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4223: Advanced Database Systems (Concurrent or completed)

Course Rationale:
This course intends to provide students with practical skills required in the design and implementation of advanced database systems.

Course Objective:

The objective of the course is

To implement object-oriented database systems and XML.
To facilitate students with parallel and distributed database.
To familiarize issues of concurrency control and transaction management.

Course Description:
CSE 4224 - Advanced Database System Laboratory: CSE 4224 provides students with practical experience in working with advanced database systems. Students conduct experiments involving database design, optimization, and performance tuning. They also gain hands-on experience with technologies such as distributed databases and NoSQL systems. The lab emphasizes the application of theoretical concepts from CSE 4223, allowing students to develop skills in managing and optimizing complex database environments used in big data applications and enterprise systems.

Course Title: Human Computer Interaction	Course Code: CSE 4251
Course Type: Elective Subject (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 1113: Programming Fundamentals

Course Rationale:

This course aims to teach students the fundamentals of human-computer interaction. It will look at how working with computers can help us comprehend human cognition and perspective.

Course Objectives:

The objective of the course is to

conduct research, define requirements, design, and test interactive computer-based systems and products.
provide a general overview of human-friendly interface design.
become acquainted with the many designs and assessment approaches used in interface design and gain expertise with them.
understand human cognition and human perspective while working with computers.

Course Description:

CSE 4251 - Human Computer Interaction: CSE 4251 focuses on the design and evaluation of user interfaces for software applications. The course covers the principles of human-computer interaction (HCI), including usability, accessibility, and the psychology of user behavior. Students learn how to design user-friendly interfaces by considering factors like cognitive load, task flow, and user feedback. The course also explores tools and techniques for evaluating user interfaces and improving the user experience (UX). Students gain practical experience in designing intuitive and effective user interfaces for various platforms, including mobile, web, and desktop applications.

Course Title: Software Architecture	Course Code: CSE 4291
Course Type: Elective Subject (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 3233: Software Engineering

Course Rationale:

This course is designed to provide the students with adequate knowledge of modern software design and development using different architectural concepts.

Course Objectives:

The objective of the course is

To acquaint students with the basic concepts of modern software architecture concepts.
To provide necessary ideas about architectural design concepts required to become a successful software developer.
To instruct students with the knowledge of the skills needed to manage a software project.

Course Description:

CSE 4291 - Software Architecture: CSE 4291 provides an in-depth study of software architecture, focusing on the structure and organization of software systems. The course covers architectural patterns, design principles, and the trade-offs involved in system design. Topics include modularization, layering, service-oriented architecture (SOA), microservices, and cloud-based architectures. Students learn how to create scalable, maintainable, and secure software architectures that meet the functional and non-functional requirements of complex systems. This course is critical for software developers and engineers involved in building large-scale software applications.

Course Title: Software Requirements Specification and Analysis	Course Code: CSE 4297
Course Type: Elective Course (Software Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 3233: Software Engineering

Course Rationale:

This course is intended to teach students how to derive and develop software requirements that are measurable, testable and lead to a compliant software design and implementation.

Course Objectives:

The objective of the course is

To compare and contrast functional software requirements from non-functional software.
To elicit, analyze, specify, and validate software requirements for a software product.
To describe and exercise software requirements management processes and activities, including establishing a software requirements baseline and evaluating changes to that baseline.

Course Description:

CSE 4297 - Software Requirement Specifications & Analysis: CSE 4297 focuses on the process of gathering, analyzing, and documenting software requirements. Students learn how to interact with stakeholders to define the functional and non-functional requirements of software systems. The course covers techniques for requirements analysis, such as use cases, user stories, and requirement elicitation methods. Students also explore tools for managing and tracking requirements throughout the software development life cycle. This course equips students with the skills necessary to create comprehensive and accurate software requirements specifications, a crucial step in ensuring successful software development projects.

Course Title: Machine Learning
Course Code: CSE 4311
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: CSE 2415: Algorithms + STA 2107: Statistics and Probability

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 clustering.
To develop an understanding of the theoretical relationships between the learning algorithms.
To enhance the learning parameters to achieve maximum performance.

Course Description:

CSE 4311 - Machine Learning: CSE 4311 introduces students to the foundational concepts of machine learning, including supervised, unsupervised, and reinforcement learning techniques. The course covers key algorithms such as decision trees, support vector machines, k-nearest neighbors, and neural networks. Students also explore the mathematical foundations behind these algorithms and learn to apply them to real-world datasets for classification, regression, and clustering problems. This course is essential for students pursuing careers in data science, artificial intelligence, and analytics.

Course Title: Machine Learning Laboratory
Course Code: CSE 4312
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4311: Machine Learning (Concurrent or completed)

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 clustering.
To enhance the learning parameters to achieve maximum performance.

Course Description:

CSE 4312 - Machine Learning Laboratory: CSE 4312 provides students with hands-on experience in implementing machine learning algorithms. In this laboratory course, students work on practical projects where they apply machine learning techniques to solve real-world problems. The lab emphasizes using popular tools and libraries such as Python, TensorFlow, and scikit-learn. Students learn how to preprocess data, select appropriate algorithms, and evaluate model performance, gaining valuable skills for building and deploying machine learning models.

Course Title: Digital Image Processing	Course Code: CSE 4371
Course Type: Elective Subject (Data Science)	Credits: 3
Status: Theory	Pre-requisite: CSE 4791 (Digital Signal Processing) + MAT 2207: Matrix, Linear Algebra, Differential Equation

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 processing.
Explain and apply various filters, point processing, and arithmetic operations in image processing
Find and compare different applications of Digital image processing.

Course Description:

CSE 4371 - Digital Image Processing: CSE 4371 focuses on the theory and techniques of digital image processing. Students learn about image representation, enhancement, filtering, and restoration methods. The course covers image segmentation, feature extraction, and object recognition. Students explore advanced topics such as image compression and morphological image processing. This course is valuable for those interested in applications like computer vision, medical imaging, and remote sensing.

Course Title: Digital Image Processing Laboratory
Course Code: CSE 4372
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4371: Digital Image Processing (Concurrent or completed)

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 Processing.
Apply different types of algorithms to process a digital images.
Implement different image compression techniques.

Course Description:

CSE 4372 - Digital Image Processing Laboratory: CSE 4372 provides practical experience in digital image processing. In this laboratory, students implement algorithms for image enhancement, filtering, segmentation, and feature extraction using programming tools and libraries like MATLAB and OpenCV. The lab allows students to work on projects involving real-world images, giving them a hands-on understanding of how digital image processing techniques are applied in various fields.


Course Title: Big Data Analytics
Course Code: CSE 4345
Course Type: Elective Subject (Data Science)			Credits: 3
Status: Theory			Pre-requisite: CSE 2221: Database Management System

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 Description:

CSE 4345 - Big Data Analytics: CSE 4345 introduces students to the principles and practices of big data analytics. The course covers data mining, predictive analytics, and the use of distributed computing frameworks such as Hadoop and Spark. Students learn how to process and analyze large datasets, extract meaningful insights, and make data-driven decisions. The course also explores the challenges of managing big data, including scalability, storage, and real-time processing, preparing students for careers in big data engineering and analytics.

Course Title: Big Data Analytics Laboratory
Course Code: CSE 4346
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4345: Big Data Analytics (Concurrent or completed)

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

Course Description:

CSE 4346 - Big Data Analytics Laboratory: CSE 4346 provides students with hands-on experience in big data analytics. In this laboratory, students work with large datasets and apply tools like Hadoop, Spark, and NoSQL databases to perform data analysis. The lab emphasizes practical skills in data preprocessing, visualization, and model building, helping students gain expertise in working with big data technologies and solving complex data analytics problems.

Course Name: Digital Signal Processing
Course Code: CSE 4791
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: MAT 1203: Differential and Integral Calculus + EEE 1201: Electronics Devices and Circuits

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 processing.
To provide students with the necessary knowledge for discrete and fast fourier transform.
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 filters.

Course Description:

CSE 4791 - Digital Signal Processing: CSE 4791 covers the fundamental concepts and techniques of digital signal processing (DSP). Topics include discrete-time signals, linear time-invariant systems, z-transforms, Fourier analysis, filtering, and convolution. Students also learn about DSP applications in audio and video processing, communications, and speech recognition. This course is important for students pursuing careers in communications, multimedia, and signal processing.

Course Name: Digital Signal Processing Laboratory
Course Code: CSE 4792
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Theory	Pre-requisite: CSE 4791: Digital Signal Processing (Concurrent or completed)

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 processing.
To familiarize students with FIR and IIR filter design and their applications.
To help students improve their ability to present the results of investigations orally and in writing.

Course Description:

CSE 4792 - Digital Signal Processing Laboratory: CSE 4792 provides practical experience in applying DSP techniques. In this laboratory course, students implement signal processing algorithms using tools like MATLAB and Python. The lab focuses on hands-on projects such as filtering, frequency analysis, and signal reconstruction. Students also work with real-world signals, such as audio and sensor data, to deepen their understanding of DSP concepts.

Course Title: Internet of Things
Course Code: CSE 4367
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: CSE 3567: Computer Networks

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 IoT.
Analyze and secure the data generated by IoT devices.

Course Description:

CSE 4367 - Internet of Things: CSE 4367 introduces students to the Internet of Things (IoT) and its applications. The course covers IoT architecture, sensors, communication protocols, data processing, and cloud computing. Students learn how to design and build IoT systems, integrating hardware and software components to create smart devices and networks. Topics include IoT security, data privacy, and real-time analytics, preparing students for careers in the growing field of IoT technology.

Course Title: Internet of Things Laboratory
Course Code: CSE 4368
Course Type: Elective Subject (Data Science)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4367: Internet of Things (Concurrent or completed)

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 Description:

CSE 4368 - Internet of Things Laboratory: CSE 4368 is the laboratory component of CSE 4367, where students gain hands-on experience in developing IoT systems. In this lab, students work with sensors, microcontrollers, and IoT platforms like Raspberry Pi and Arduino. They learn to collect data from physical devices, process it, and send it to cloud servers for analysis. The lab emphasizes the practical skills required to design, implement, and deploy IoT solutions.

Course Title: Data Mining
Course Code: CSE 4333
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: CSE 2221: Database Management System + CSE 2415: Algorithms

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 mining.
Apply the knowledge of classification and clustering techniques.
Solve problems related to data minning.

Course Description:

CSE 4333 - Data Mining: CSE 4333 introduces students to the field of data mining, focusing on techniques for discovering patterns and relationships in large datasets. Topics include classification, clustering, association rules, anomaly detection, and dimensionality reduction. The course covers both theoretical foundations and practical algorithms used in data mining, preparing students for roles in data science and analytics.

Course Title: Introduction to Bioinformatics
Course Code: CSE 4321
Course Type: Elective Subject (Data Science)	Credits: 3
Status: Theory	Pre-requisite: CSE 1113: Programming Fundamentals + BIO 2101: Biology for Engineers

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 work.

Course Description:

CSE 4321 - Introduction to Bioinformatics: CSE 4321 introduces students to bioinformatics, the intersection of computer science and biology. The course covers techniques for analyzing biological data, such as DNA and protein sequences, using computational methods. Students learn about algorithms for sequence alignment, gene prediction, and protein structure prediction. This course is valuable for students interested in the applications of computing in healthcare, biotechnology, and genomics.

Course Title: Artificial Neural Network and Fuzzy Systems
Course Code: CSE 4373
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: CSE 4311: Machine Learning

Course Rationale:

This course tends to help the learners to gain knowledge about design and working principle of artificial neural network and its relation to biological neuron. It helps to develop and design different neuron models according to problem, introduces artificial intelligence and its application areas, application and evaluation of fuzzy logic and fuzzy set theories

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 theories.

Course Description:

CSE 4373 - Artificial Neural Networks and Fuzzy Systems: CSE 4373 explores artificial neural networks (ANNs) and fuzzy systems, two important topics in artificial intelligence. The course covers the theory and application of ANNs, including feedforward, recurrent, and deep learning networks. It also introduces fuzzy logic systems and their applications in decision-making and control systems. Students learn how to design and train neural networks and fuzzy systems for real-world applications such as pattern recognition, robotics, and predictive modeling.

Course Title: Distributed System and Algorithms
Course Code: CSE 4483
Course Type: Elective Subject (Systems)	Credits: 03
Status: Theory	Pre-requisite: CSE 3733: Operating Systems

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 Description:

CSE 4483 - Distributed Systems and Algorithms: CSE 4483 introduces students to the fundamental concepts of distributed systems and algorithms. The course covers topics such as distributed communication, consensus algorithms, distributed databases, and fault tolerance. Students learn how to design and implement algorithms for coordinating tasks across distributed systems and ensuring consistency in large-scale environments. The course also delves into challenges such as latency, scalability, and synchronization, preparing students for careers in cloud computing, networked systems, and distributed software development.

Course Title: Distributed System and Algorithm Laboratory
Course Code: CSE 4484
Course Type: Elective Subject (Data Science)	Credits: 03
Status: Theory	Pre-requisite: CSE 4483: Distributed Systems and Algorithms (Concurrent or completed)

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 Description:

CSE 4484 - Distributed Systems and Algorithms Laboratory: CSE 4484 provides hands-on experience in the design and implementation of distributed systems and algorithms. Students work on practical projects that involve building and testing distributed applications, exploring topics like replication, load balancing, and distributed data storage. The lab emphasizes the use of programming languages and frameworks commonly used in distributed systems development, such as Java, Python, and Apache Kafka, giving students practical skills for working with complex networked systems.

Course Title: Compiler Design	Course Code: CSE 4411
Course Type: Elective Subject (Computing Theory)	Credits: 03
Status: Theory	Pre-requisite: CSE 2415: Algorithms + CSE 1411: Discreet Mathematics and Number Theory

Course Rationale:

This course is designed to provide the basic techniques that underlie the practice of various phases of Compiler construction.

Course Objectives:

The objectives of the course are

To introduce the theoretical concepts of compiler design and language translation.
To understand and analyze different phases of a compiler development.
To provide theoretical design skills for constructing a compiler.

Course Description:

CSE 4411 - Compiler Design: CSE 4411 focuses on the theory and practice of compiler design. Students learn about the phases of a compiler, including lexical analysis, syntax analysis, semantic analysis, optimization, and code generation. The course covers formal languages, context-free grammars, and parsing techniques. Students also explore compiler construction tools like Lex and Yacc and implement a simple compiler for a programming language. This course provides students with a deep understanding of how high-level programming languages are translated into executable code.

Course Title: Compiler Design Laboratory	Course Code: CSE 4412
Course Type: Core	Credits: 1.5
Course status : Lab	Pre-requisite: CSE 4411: Compiler Design (Concurrent or completed)

Course Rationale: Intended to enable the students the basic techniques which underlie the practice of compiler construction and use the acquired knowledge to build a compiler for a language.

Course Objectives:

The objectives of this course are to:

To introduce the major concept areas of language translation and compiler design.
Provide the foundation for understanding the theory and practice of compilers.
To learn programming language translation and compiler design concepts, language recognition, symbol table management, semantic analysis and code generation.
To provide practical programming skills necessary for constructing a compiler.

Course Description:

CSE 4412 - Compiler Design Laboratory: CSE 4412 is the laboratory component of CSE 4411, providing students with hands-on experience in building a compiler. In this lab, students implement various phases of a compiler, such as lexical analyzers, parsers, and code generators. They also test and debug their compilers to ensure they handle different programming constructs efficiently. This laboratory enables students to apply the theoretical concepts learned in CSE 4411 and gain practical experience in the field of compiler construction.

Course Title: Computer Graphics	Course Code: CSE 4473
Course Type: Elective Subject (Computing Theory)	Credits: 03
Status: Theory	Pre-requisite: MAT 2207: Matrix, Linear Algebra, Differential Equation

Course Rationale:

This course concentrates on the fundamentals of computer graphics and addresses the knowledge and skill in computer graphics development which are essential for computing professionals. This course also motivates to enhance the ability in order to rapidly visualize, design and modify different types of shapes, structures and images interactively that is absolutely mandatory in the field of engineering and imaging technology.

Course Objectives:

The main objectives of this course are to :

Explain and discuss the fundamental concepts of Computer Graphics.
Develop necessary knowledge about basic algorithms of Computer Graphics and implement the algorithms.
Find and compare different applications of Computer graphics.

Course Description:

CSE 4473 - Computer Graphics: CSE 4473 covers the principles and techniques of computer graphics, focusing on the mathematical and algorithmic foundations of 2D and 3D graphics. The course explores topics such as geometric transformations, rendering, shading, texture mapping, and the use of graphics APIs like Open GL. Students learn how to create realistic computer-generated images and animations, with applications in video games, simulations, and computer-aided design (CAD).

Course Title: Computer Graphics Laboratory	Course Code: CSE 4474
Course Type: Elective Subject (Computing Theory)	Credits: 03
Status: Sessional	Pre-requisite: CSE 4473: Computer Graphics (Concurrent or completed)

Course Rationale:

To learn implementation of various computer graphics algorithms.

Course Objective:

The objective of the course is to enable the students to
Understand the basic concepts of Computer Graphics.
Learn the various algorithms for generating and rendering graphical figures.
Get familiar with mathematics behind the graphical transformations.

Course Description:

CSE 4474 - Computer Graphics Laboratory: CSE 4474 provides practical experience in computer graphics through hands-on projects. Students use tools like OpenGL and other graphics programming libraries to implement rendering algorithms, create 2D and 3D visualizations, and develop interactive graphics applications. The lab emphasizes problem-solving skills in creating graphical interfaces, animations, and visual effects, providing students with the skills to develop advanced graphics software.

Course Title: Combinatorial Optimization	Course Code: CSE 4491
Course Type: Elective Subject (Computing Theory)	Credits: 03
Status: Theory	Pre-requisite: CSE 1411: Discrete Mathematics and Number Theory

Course Rationale:

This course introduces students to give knowledge in theory and solution methods for combinatorial optimization.

Course Objectives:

The main objectives of this course are:

Understand the underlying principles behind a large class of discrete optimization problems.
Learn to apply optimization algorithms to solve problems in combinatorial optimization.
Deals with many aspects of algorithms in computer science, and gives practical solutions to NP-complete and NP-hard problems.

Course Description:

CSE 4491 - Combinatorial Optimization: CSE 4491 introduces students to combinatorial optimization techniques used to solve problems involving the optimization of discrete structures. Topics include graph algorithms, dynamic programming, greedy algorithms, and integer programming. The course covers classic optimization problems like the traveling salesman problem, knapsack problem, and maximum flow problem. Students learn how to apply these methods to solve complex optimization problems encountered in fields like logistics, operations research, and network design.

Course Title: Computational Geometry	Course Code: CSE 4413
Course Type: Elective Subject (Computing Theory)	Credits: 03
Status: Theory	Pre-requisite: CSE 1411: Discrete Mathematics and Number Theory + MAT 1205: Coordinate Geometry and Vector Analysis

Course Rationale:

To develop efficient algorithms and data structures for solving problems stated in terms of basic geometrical objects: points, line segments, polygons etc.

Course Objectives:

The main objectives of this course are to:

Make the students understand the applications of computational geometry to graphical rendering
Facilitate necessary knowledge about the notion of Voronoi diagram and Delaunay Triangulations.
Develop expected case analyses for linear programming problems in small dimensions.

Course Description:

CSE 4413 - Computational Geometry: CSE 4413 explores the field of computational geometry, which focuses on geometric algorithms and data structures used to solve problems in areas such as computer graphics, computer-aided design (CAD), and robotics. Topics include convex hulls, Voronoi diagrams, geometric searching, and spatial data structures. Students learn how to apply computational geometry techniques to real-world problems that involve spatial data, such as collision detection, map analysis, and geographic information systems (GIS).

Course Title: Computer Arithmetic	Course Code: CSE 4401
Course Type: Elective Subject (Computing Theory)	Credits: 03
Status: Theory	Pre-requisite: CSE 3815: Microprocessors and Microcontrollers

Course Rationale:

This course deals with the hardware realization of arithmetic functions to support various computer architectures as well as with arithmetic algorithms for firmware/software implementation.

Course Objectives:

The objective of the course is

To acquire the basic knowledge of digital Computer Arithmetic and the link with other subfields of digital computer organization.
To understand and analyze Representation of numbers, Fast addition, subtraction, Multiplication and Division Algorithms.
To analyze and design hardware algorithms and circuits to enhance the speed of various numeric operations.

Course Description:

CSE 4401 - Computer Arithmetic: CSE 4401 focuses on the design and analysis of arithmetic operations in digital computers. The course covers number representations (binary, floating-point, etc.), arithmetic algorithms for addition, subtraction, multiplication, and division, and error analysis. Students learn about the limitations of computer arithmetic and techniques for improving the precision and efficiency of numerical computations. This course is essential for understanding the underlying hardware and software used in high-performance computing and scientific applications.

Course Title: Graph Theory	Course Code: CSE 4463
Course Type: Elective Subject (Computing Theory)	Credits: 03
Status: Theory	Pre-requisite: CSE 1411: Discrete Mathematics and Number Theory

Course Rationale:

The course treats graph theoretical notions and problems, and the use of algorithms, both in the mathematical theory of graphs and its applications.

Course Objectives:

The objectives of this course are:

To understand the fundamental concepts in graph theory
To apply graph theory-based algorithms in practical problems.
To improve the proof writing skills.

Course Description:

CSE 4463 - Graph Theory: CSE 4463 introduces students to graph theory, focusing on the study of graphs, their properties, and algorithms for solving graph-related problems. Topics include graph traversal, connectivity, shortest path algorithms, network flow, and graph coloring. Students learn how to apply graph theory to problems in areas such as computer networking, social network analysis, and scheduling. The course provides a solid foundation for students interested in fields like data structures, algorithms, and optimization.

Course Title: Communication Engineering
Course Code: CSE 4511
Course Type: Elective Subject (Communication and Networking)	Credits: 03
Status: Theory	Pre-requisite: EEE 1201: Electronics Devices and Circuits

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 noise.

Course Description:

CSE 4511 - Communication Engineering: CSE 4511 introduces students to the fundamentals of communication systems, focusing on both analog and digital communication techniques. Topics include modulation, demodulation, signal processing, error correction, and communication channels. Students learn about communication networks, wireless systems, and transmission technologies. This course is essential for students interested in careers in telecommunications, wireless communication, and networking.

Course Title: Communication Engineering Laboratory
Course Code: CSE 4512
Course Type: Elective Subject (Communication and Networking)	Credits: 1.5
Status: Theory	Pre-requisite: CSE 4511: Communication Engineering (Concurrent or completed)

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 instruments.
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 Description:

CSE 4512 - Communication Engineering Laboratory: CSE 4512 provides hands-on experience in communication engineering. In this laboratory, students implement and test various communication systems, including both analog and digital systems. The lab focuses on experiments involving modulation techniques, signal generation, and error detection, helping students apply theoretical concepts to real-world communication scenarios. Students gain practical experience with tools used in communication system design and analysis.

Course Title: Cloud Computing	Course Code: CSE 4523
Course Type: Elective Subject (Communication and Networking)	Credit: 03
Status: Theory	Pre-requisite: CSE 4483: Distributed Systems and Algorithms

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 models.
Comprehend the compute, storage, database, networking, and content delivery facilities offered by the underlying cloud infrastructure.
Identify security and privacy issues in cloud computing.
Analyze the automatic scaling and monitoring performance of the underlying cloud technologies
Implement applications for different cloud platforms.

Course Description:

CSE 4523 - Cloud Computing: CSE 4523 explores cloud computing technologies and their applications. Students learn about cloud architecture, virtualization, and service models such as IaaS, PaaS, and SaaS. The course covers distributed storage, load balancing, and security concerns in cloud environments. Students also study cloud platforms like AWS, Microsoft Azure, and Google Cloud, preparing them to design and deploy scalable applications in the cloud.

Course Title: Cloud Computing Laboratory	Course Code: CSE 4524
Course Type: Elective Subject (Communication and Networking)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4523: Could Computing (Concurrent or completed)

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 platforms.
Demonstrate the advantage of managed cloud services.
Implement custom web applications in different cloud computing service.
Use advanced techniques to scale cloud resources under dynamic requirements.

Course Description:

CSE 4524 - Cloud Computing Laboratory: CSE 4524 provides practical experience in cloud computing. Students work on projects involving the deployment of cloud applications, utilizing platforms like AWS and Google Cloud. The lab emphasizes hands-on skills in setting up virtual machines, managing cloud resources, and scaling applications. Students also explore cloud security and performance optimization techniques, preparing them for roles in cloud infrastructure management and cloud-based application development.

Course Title: Network Security	Course Code: CSE 4591
Course Type: Elective Subject (Communication and Networking)	Credits: 03
Status: Theory	Pre-requisite: CSE 3567: Computer Networks

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 defenses.
Develop to determine the wireless network security attacks, and models, so can recognize the security requirements in real-life cases.
Allow students to solve the design and implementation issues of a real-life network security solution.

Course Description:

CSE 4591 - Network Security: CSE 4591 focuses on the principles and practices of network security. Topics include encryption, authentication, firewalls, intrusion detection systems, and secure network protocols. Students learn how to protect networks from cyber-attacks, prevent data breaches, and secure communication channels. The course prepares students for careers in network administration, cybersecurity, and information security, teaching them to identify and mitigate security threats in networked environments.

Course Title: Network Security Laboratory	Course Code: CSE 4592
Course Type: Elective Subject (Communication and Networking)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4591: Network Security (Concurrent or completed)

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 Objective:

The objective of the course is

To understand the principles of network security and to guarantee a secure network by monitoring and analyzing the nature of attacks through security tools.
Develop knowledge to secure computer networks in an organization
Allow students to solve the design and implementation issues of a real-life network security solution

Course Description:

CSE 4592 - Network Security Laboratory: CSE 4592 provides hands-on experience in network security. In this laboratory, students implement security measures such as encryption, access control, and firewalls. The lab also covers tools for vulnerability scanning, intrusion detection, and network traffic analysis. Students work on projects that involve securing networks and defending against cyber-attacks, applying theoretical knowledge to practical security challenges.

Course Title: Wireless Communication	Course Code: CSE 4517
Course Type: Elective Subject (Communication and Networking)	Credits: 03
Status: Theory	Pre-requisite: CSE 4511: Communication Engineering

Course Rationale:

This course aims to make students knowledgeable about related aspects of wireless communication systems.

Course Objectives:

The objectives of the course are to

To make the students understands the basics radio wave propagation
To facilitate necessary knowledge about several statistical Channel Models
To make the students understands the capacity of channel for wireless communication
To facilitate necessary knowledge about applications of diversity technique for wireless communication
To make the students understands the space time and broadband communication system

Course Description:

CSE 4517 - Wireless Communication: CSE 4517 covers the fundamentals of wireless communication systems. Topics include radio propagation, modulation techniques, wireless network protocols, and mobile communication. The course explores various wireless technologies such as Wi-Fi, Bluetooth, and cellular networks, as well as emerging trends in 5G and IoT communication. Students gain an understanding of the challenges and techniques involved in designing and managing wireless communication systems.

Course Title: Web Application Security
Course Code: CSE 4593
Course Type: Elective Subject (Communication and Networking)	Credits: 03
Status: Theory	Pre-requisite: CSE 3567: Computer Networks

Course Rationale:

Designed for the students to provide the necessary knowledge about the modern security issues of web-based technologies. They will gather a firm understanding for tackling various vulnerabilities with the available methods.

Course Objectives:

The main objectives of this course are:

To understand the importance of web application security in real-world software
Accumulate basic ideas about the adverse effect of various web attacks
To develop theoretical knowledge for developing secure web applications

Course Description:

CSE 4593 - Web Application Security: CSE 4593 focuses on the security challenges associated with web applications. Topics include secure coding practices, web vulnerabilities (e.g., SQL injection, XSS), authentication and authorization, and web security protocols. Students learn how to identify, prevent, and mitigate common web security threats, and they gain hands-on experience in securing web applications. This course is essential for students pursuing careers in cybersecurity, web development, and secure software engineering.

Course Title: Digital System Design	Course Code: CSE 4825
Course Type: Elective Subject (Hardware Engineering)	Credits: 03
Status: Theory	Pre-requisite: EEE 2201: Digital Electronics and Pulse Technique

Course Rationale:

This course is intended to develop skills to design and implement digital systems and smart systems. The aim of this course is to build the capability of designing, developing, testing, publishing, and presenting the process of a whole digital system.

Course Objectives:

The objective of the course is-

To understand the basic design of large-scale logic circuits with fundamental building blocks and methods.
To enhance the skill of interface digital circuitry to the analog hardware domain
To acquire skills in the design/verification/implementation of digital systems

Course Description:

CSE 4825 - Digital System Design: CSE 4825 focuses on the design of digital systems using both combinational and sequential logic. The course covers topics such as Boolean algebra, logic gates, flip-flops, multiplexers, counters, and finite state machines. Students learn to design and optimize digital circuits and systems, including the application of hardware description languages (HDLs) such as VHDL and Verilog. This course is essential for students interested in digital electronics, hardware design, and embedded systems development.

Course Name: Digital System Design Laboratory
Course Code: CSE 4826
Course Type: Elective -II (Electronics Engineering)	Credit Hours: 1.5
Status: Lab course	Prerequisite: CSE 4825: Digital system Design Lab

Rationale: This course aims to provide students with practical knowledge on synthesizing digital electronics circuit on FPGA.

Objectives: The objectives of this course are-

To enhance the skills on designing digital circuit based on hardware description language.
To facilitate necessary knowledge about synthesizing digital electronics circuit on FPGA.
To demonstrate the ability to present the results of investigations orally and in writing.

Course Description:

CSE 4826 - Digital System Design Laboratory: CSE 4826 is the laboratory component of CSE 4825, where students gain hands-on experience in designing and implementing digital systems. Students use simulation tools and hardware platforms like FPGAs to design and test digital circuits. They work on projects that involve the design of complex digital systems, such as data processing units and control circuits, applying the concepts learned in lectures to real-world digital design problems.

Course Title: Introduction to Robotics Engineering	Course Code: CSE 4833
Course Type: Elective Subject (Hardware Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 3815: Microprocessors and Microcontrollers

Course Rationale:

This course is focused on final year students to provide foundation knowledge of designing and implementation of modern robots.

Course Objectives:

The Objectives of the course are

To provide students with the fundamental knowledge of designing robot
To facilitate students with the different types of control strategy for different robot

Course Description:

CSE 4833 - Introduction to Robotics Engineering: CSE 4833 introduces students to the fundamental concepts of robotics engineering. Topics include robot kinematics, dynamics, sensors, actuators, and control systems. The course explores various types of robots, including mobile robots, industrial robots, and autonomous systems. Students learn about the principles of robot design, robot programming, and the integration of hardware and software in robotic systems, preparing them for advanced studies and careers in robotics and automation.

Course Title: Introduction to Robotics Engineering Laboratory	Course Code: CSE 4834
Course Type: Elective (Hardware Engineering)	Credits: 01
Status: Laboratory	Pre-requisite: CSE 4833: Introduction to Robotics Engineering

Course Rationale:

This laboratory course provides hands-on experience in designing, programming, and testing robotic systems. It complements theoretical concepts learned in CSE 4833: Introduction to Robotics Engineering by engaging students in real-world applications of robotic technologies

Course Objectives:

The objectives of this laboratory course are:

To equip students with practical knowledge of robotic hardware and software integration.
To enhance students' ability to work with sensors, actuators, and microcontrollers for robotics applications.
To develop programming skills required for robotic motion and control strategies.
To introduce students to robotic vision, path planning, and autonomous navigation techniques.
To provide experience with industrial and service robotics applications.

Course Description:

CSE 4834 - Introduction to Robotics Engineering Laboratory: CSE 4834 provides hands-on experience in robotics engineering. In this laboratory, students work on projects involving robot design, programming, and control. They build and test robotic systems, using platforms like Arduino or ROS (Robot Operating System) to control robot movements and sensors. Students also work on tasks related to robot localization, path planning, and obstacle avoidance, applying the theoretical knowledge from CSE 4833 to real-world robotics problems.

Course Title: Computer Interfacing
Course Code: CSE 4815
Course Type: Elective Subject (Hardware Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 3815: Microprocessors and Microcontrollers

Course Rationale:

This course aims to give sufficient knowledge of computer hardware equipment as well as multimedia and virtual reality devices.

Course Objectives:

The objective of the course is

To become familiar with the operation of a sophisticated computer system, including high-performance peripheral interfaces, extensive signal processing and graphics software
To understand the principles of instruction set design
To be familiar with all types of semiconductor memory devices, and memory interface requirements
To be familiar with the different types of interrupt structures
To have a working knowledge of digital communication interface adapters

Course Description:

CSE 4815 - Computer Interfacing: CSE 4815 focuses on the principles of computer interfacing, where students learn how to connect and control external devices using a computer system. Topics include input/output systems, peripheral devices (e.g., sensors, actuators), and communication protocols such as UART, SPI, and I2C. Students gain experience in writing software to interact with hardware components, and learn how to design interfaces for applications like embedded systems, robotics, and industrial automation.

Course Title: Computer Interfacing Laboratory
Course Code: CSE 4816
Course Type: Elective Subject (Hardware Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4816: Computer Interfacing (Concurrent or completed)

Course Rationale:

This course intends to enable the students to realize the real-world computer interfacing, and operations.

Course Objectives:

The objective of the course is to

Acquaint students with the physical devices, equipment, simulation tools and components of computer.
To develop the ability to interface a computer system as well as to other devices
To provide concepts and design of a computer system.

Course Description:

CSE 4816 - Computer Interfacing Laboratory: CSE 4816 is the laboratory component of CSE 4816, offering hands-on experience in interfacing external devices with computer systems. Students work on projects involving sensors, actuators, and communication protocols to design and implement interfaces for embedded systems. The lab emphasizes the use of microcontrollers and development boards like Arduino and Raspberry Pi to interface with real-world hardware and solve practical engineering problems.

Course Name: Embedded System Design
Course Code: CSE 4817
Course Type: Elective Subject (Hardware Engineering)	Credits: 03
Status: Theory	Pre-requisite: CSE 3815: Microprocessors and Microcontrollers

Course Rationale:

This course aims to provide the students with the fundamental hardware and software concept of designing embedded system.

Course Objectives:

The objectives of the course are

To provide students with necessary knowledge for designing embedded system
To facilitate students to know how to write RTOS (Real Time Operating System).
To help students with the knowledge of modern complex embedded system

Course Description:

CSE 4817 - Embedded System Design: CSE 4817 covers the design and development of embedded systems, focusing on microcontroller-based systems. Topics include system architecture, hardware-software integration, real-time operating systems (RTOS), and system debugging. Students learn how to design and implement embedded applications for various domains, such as automotive, consumer electronics, and industrial automation. This course prepares students for careers in embedded systems design and development.

Course Name: Embedded System Design Laboratory
Course Code: CSE 4818
Course Type: Elective Subject (Hardware Engineering)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4818: Embedded System Design (Concurrent or completed)

Course Rationale:

This course aims to provide students with practical knowledge on Embedded system design for solving real life problems.

Course Objectives:

The objectives of this course are-

To enhance the skills on designing embedded system design using the different types of processing techniques.
To demonstrate the ability to present the results of investigations orally and in writing

Course Description:

CSE 4818 - Embedded System Design Laboratory: CSE 4818 provides practical experience in embedded system design. Students work on projects that involve programming and debugging microcontrollers, interfacing sensors and actuators, and building embedded applications. The lab emphasizes hands-on skills with tools like development boards (e.g., Arduino, ESP32) and software for embedded systems, giving students the opportunity to apply the concepts learned in CSE 4818 to real-world embedded system projects.

Course Name: Control Systems
Course Code: CSE 4843
Course Type: Elective Subject (Hardware Engineering)	Credits: 03
Status: Theory	Pre-requisite: MAT 2207: Matrix, Linear Algebra, Differential Equation

Course Rationale:

This course aims to provide basic knowledge of different control techniques used in industries to control electrical and mechanical devices.

Course Objectives:

The objectives of this course are:

To acquaint students with the basic knowledge of modern control systems
To help the students develop their ability in developing mathematical models of electrical system
To get idea about the principle of block diagram reduction and signal flow graphs
To provide knowledge of the stability of electrical and mechanical system
To help them conceptualize the basic theories of the system analysis technique
To make the students understand the basic knowledge of different types of controllers.

Course Description:

CSE 4843 - Control Systems: CSE 4843 focuses on the analysis and design of control systems. Topics include feedback systems, stability analysis, transfer functions, and controller design techniques such as PID control and state-space methods. The course explores the use of control systems in applications like robotics, automation, and electronics. Students learn to model and analyze dynamic systems, and design controllers to meet desired performance specifications.

Course Name: Control Systems Laboratory
Course Code: CSE 4844
Course Type: Elective Subject (Hardware Engineering)	Credit Hours: 1.5
Status: Sessional	Pre-requisite: CSE 4844: Control Systems (Concurrent or completed)

Course Rationale:

This course aims to build foundation skills on designing and analyzing different industrial control systems using PLC and MATLAB.

Course Objectives:

The objectives of this course are-

To help students demonstrate the controlling of systems using PLC.
To help students improve the ability to present the results of investigations orally and in writing.

Course Description:

CSE 4844 - Control Systems Laboratory: CSE 4844 provides hands-on experience in designing and implementing control systems. In this laboratory, students work with real-time control systems, using tools like MATLAB/Simulink to simulate and design controllers. They build and test control systems for various applications, such as motor control and temperature regulation, applying the theoretical concepts learned in CSE 4844 to practical engineering challenges.

Course Title: UI: Concepts and Design
Course Code: CSE 4253
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Theory	Pre-requisite: CSE 3000: Software Development Project (concurrent or completed)

Course Rationale:

This course is intended to provide the students latest design concepts for evolving the best one in terms of a user-friendly system.

Course Objectives:

The main objectives of this course are:

To introduce students to the fundamentals of user experience (UX) and user interface (UI) design
Getting ideas about interactive design to meet business objectives
To put focus on the representation of data in a user-friendly way.

Course Description:

CSE 4253 - UI: Concepts and Design: CSE 4253 covers the principles of user interface (UI) design. Students learn about the human-centered design process, UI components, usability, and accessibility. The course teaches design best practices for creating intuitive and effective user interfaces for web and mobile applications. Students gain knowledge of design tools and methodologies that are essential for UI designers in various industries.

Course Title: UI: Concepts and Design Laboratory
Course Code: CSE 4254
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Sessional	Pre-requisite: CSE 4353: UI: Concepts and Design (Concurrent or Completed)

Course Rationale:

This course is intended to provide the students a practical experience in implementing the theoretical concepts of designing the UI, keeping the best optimization in mind.

Course Objectives:

The main objectives of this course are:

To introduce students to the fundamentals of user experience (UX) and user interface (UI) design
Getting ideas about interactive design to meet business objectives
To put focus on representing data in an user-friendly way

Course Description:

CSE 4254 - UI: Concepts and Design Laboratory: CSE 4254 provides practical experience in designing and implementing user interfaces. In this lab, students work on UI design projects, applying the concepts learned in CSE 4253. They use prototyping tools, like Figma and Adobe XD, to create and test interactive UI designs. The lab emphasizes user-centered design principles and allows students to develop a portfolio of UI design work.

Course Title: Green Computing
Course Code: CSE 4573
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Theory	Pre-requisite: CSE 3733: Operating System

Course Rationale:

The course treats the concept of green IT, environmental perspectives on IT use and standards and certifications related to sustainable IT products. The course also deals with methods and tools to measure energy consumption and efforts to improve energy efficiency in the use of IT with a focus on computer centers.

Course Objectives:

The main objectives of this course are:

Enable the students to understand the fundamental concepts and techniques of Green Computing
Equip and enhance the hardware and software skills require to design green systems.
Facilitate students to acquire in-depth knowledge and skills needed to comprehend advanced topics in the green computing field.

Course Description:

CSE 4573 - Green Computing: CSE 4573 explores the principles of green computing, focusing on energy-efficient computing systems and sustainable technologies. Topics include energy-efficient hardware, low-power software design, and the environmental impact of data centers and cloud computing. Students learn how to reduce the carbon footprint of computing systems while maintaining performance and reliability.

Course Title: Green Computing Laboratory
Course Code: CSE 4574
Course Type: Elective Subject (Information and Communication Technology)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4573: Green Computing (Concurrent or Completed)

Course Rationale:

The course treats the concept of green IT, environmental perspectives on IT use and standards and certifications related to sustainable IT products. The course also deals with methods and tools to measure energy consumption and efforts to improve energy efficiency in the use of IT with a focus on computer centers.

Course Objectives:

The main objectives of this course are:

Enable the students to understand the fundamental concepts and techniques of Green Computing
Equip and enhance the hardware and software skills required to design green systems
Facilitate students to acquire in-depth knowledge and skills needed to comprehend advanced topics in the green computing field.

Course Description:

CSE 4574 - Green Computing Laboratory: CSE 4574 offers hands-on experience in the application of green computing principles. Students work on projects to design energy-efficient computing systems and software, measure energy consumption, and explore sustainable computing practices. The lab also covers topics like energy-aware algorithms and power-efficient hardware design, giving students practical skills in implementing green computing solutions.

Course Title: Multimedia Technology
Course Code: CSE 4743
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Theory	Pre-requisite: CSE 4371: Digital Image Processing

Course Rationale:

A multimedia system combines a series of technologies to increase the range and depth of presentation, interaction and processing. It aims to introduce the student with the multimedia key issues, image processing, audio digitization, digital video technologies, principles behind animation technique and acquaint them with hypermedia design and production.

Course Objectives:

The main objectives of this course are:

To provide students with a basic understanding of theoretical and practical aspects of multimedia systems
To increase students’ interest in the course and further motivate them towards developing their career in the area of multimedia and internet applications
To demonstrate an advanced knowledge of image editing including: image manipulation, color correction, compositing, toning, and preparing for distribution.
To focus on industry related topics like multimedia information representation, signal processing, multimedia networking

Course Description:

CSE 4743 - Multimedia Technology: CSE 4743 introduces students to multimedia technologies and their applications. Topics include image and video processing, audio systems, multimedia data compression, and interactive multimedia systems. The course also covers the integration of multimedia into web and mobile applications. Students learn to design and implement multimedia content, exploring how it can enhance user experiences in digital systems.

Course Title: Multimedia Technology Laboratory
Course Code: CSE 4744
Course Type: Elective Subject (Information and Communication Technology)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4743: Multimedia Technology (Concurrent or completed)

Course Rationale:

This course is meant to serve as an introduction to several types of media used today. This can include text, audio, visual, animation, graphics etc.

Course Objectives:

The main objectives of this course are:

To Interconnect concepts of engineering knowledge to design and solve real world engineering problems
To Explain and use software application function
To Create a design plan for multimedia project
To Create a basic multimedia project using the appropriate tools for each function

Course Description:
CSE 4744 - Multimedia Technology Laboratory: CSE 4744 provides practical experience with multimedia technologies. Students work on projects that involve creating and processing multimedia content such as images, audio, and video. The lab covers topics like multimedia encoding, editing, and streaming, allowing students to gain hands-on skills in multimedia content creation and integration for applications like entertainment, education, and communications.

Course Title: Enterprise Systems: Concept and Practice
Course Code: CSE 4295
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Theory	Pre-requisite: MGT 4562: Operational Management (Concurrent or completed)

Course Rationale:

The course focuses on a comprehensive understanding of the technical and behavioral do’s and don’ts of Managing Enterprise System implementation.

Course Objectives:

The main objectives of this course are:

Familiarize the students with technical and business fundamentals of enterprise systems, enterprise system architecture, the design of enterprise systems, and the complex process of implementing enterprise systems.
To provide an overview of SAP Computer Science and IT technologies
To enable students, identify both high-level technical implementation requirements, and organizational/employee resistors to information systems implementation

Course Description:

CSE 4295 - Enterprise Systems: Concepts and Practice: CSE 4295 introduces students to enterprise systems and their role in business operations. Topics include enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management systems. The course explores the integration of business functions through technology and teaches students how to design and implement enterprise solutions. Students learn about the challenges and best practices in managing large-scale enterprise systems.

Course Title: IT Audit: Concepts and Practice
Course Code: CSE 4299
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Theory	Pre-requisite: CSE 3211 : Information System Design + CSE 3233 : Software Engineering

Course Rationale:

Designed to enable the students to aid the understanding of the IT audit profession, emphasizing on how IT audit provides organizations and auditors the ability to effectively assess financial information’s validity, reliability, and security.

Course Objectives:

The main objectives of this course are:

To provide knowledge about achieving operational goals and objectives of IT organization
To make effective and efficient use of resources
To ensure the reliability and integrity of information

Course Description:

CSE 4299 - IT Audit: Concepts and Practice: CSE 4299 covers the principles and practices of IT auditing. Students learn how to assess and evaluate the effectiveness of an organization's IT systems, including security, compliance, and risk management. Topics include audit planning, controls, and IT governance. The course prepares students to conduct audits of IT infrastructure, applications, and policies, ensuring that they meet legal and regulatory requirements.

Course Title: Simulation and Modeling	Course Code: CSE 4731
Course Type: Elective Subject (Systems)	Credits: 03
Status: Theory	Pre-requisite: STA 2107: Statistics and Probability

Course Rationale:

This course is designed for the students of computer science to familiarize them about modern approaches of modeling and simulating a system. The necessary materials of this course will provide adequate knowledge for presenting a simulation and modeling outcome.

Course Objectives:

The objective of the course is

To give the students the knowledge of the basic concepts in the area of modeling and simulation
To provide some basic on modeling and simulation of discrete and continuous system
To address the modeling and analyzing input and output for a simulation model and generating random numbers for simulation experiments
To introduce students with the simulation tools to conduct experiments

Course Description:

CSE 4731 - Simulation and Modelling: CSE 4731 focuses on the techniques used for simulating and modeling complex systems. Students learn about various simulation methods, including discrete-event simulation, Monte Carlo methods, and system dynamics. The course covers topics like model validation, simulation software, and applying simulation in areas such as manufacturing, logistics, and telecommunications. Students gain skills in designing and running simulations to analyze system behavior under different conditions.

Course Title: Simulation and Modeling Laboratory	Course Code: CSE 4732
Course Type: Elective Subject (Systems)	Credits: 1.5
Status: Sessional	Pre-requisite: CSE 4731: Simulation or Modelling (Concurrent or completed)

Course Rationale:

This course motivates to design various models to solve real-world problems using mathematics, computer programming language, computation power, etc. and analyze the behavior of a system

for different types of datasets to provide a reasonable decision.

Course Objectives:

The objective of the course is

To design a model for physical experimentation using different programming languages on different platforms.
To analyze the characteristics of the simulation result based on different sets of data and test its validity.

Course Description:

CSE 4732 - Simulation and Modelling Laboratory: CSE 4732 provides hands-on experience in simulation and modeling. Students use simulation software to model and analyze real-world systems in various domains such as transportation, healthcare, and manufacturing. The lab focuses on implementing different simulation techniques learned in CSE 4731, allowing students to work on practical projects that involve simulating dynamic systems, analyzing performance metrics, and validating results.

Course Title: Visualizing Complex Information	Course Code: CSE 4735
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Theory	Pre-requisite: CSE 2221 – Database Management Systems and STA 2107 – Statistics and Probability

Course Rationale:

This course addresses the increasing demand for effective techniques to visually represent complex and large-scale datasets. It empowers students with the skills to transform raw data into meaningful visuals, fostering better analysis, insight, and communication in diverse domains like scientific computing, business intelligence, and big data.

Course Objectives:

To provide foundational knowledge of data visualization principles and best practices.
To introduce various techniques and tools used to visualize structured and unstructured data.
To develop the ability to analyze data through visual representation, enhancing interpretability.
To apply visualization methods in real-world scenarios involving complex datasets.

Course Description:

CSE 4735 - Visualizing Complex Information: CSE 4735 explores techniques for visualizing complex datasets and information. Students learn how to represent data in ways that make it easier to understand and analyze. Topics include data visualization principles, interactive visualization tools, and visualization of large-scale data. The course prepares students to apply visualization techniques to various fields like business intelligence, scientific research, and big data analytics.

Course Title: Visualizing Complex Information Laboratory	Course Code: CSE 4736
Course Type: Elective Subject (Information and Communication Technology)	Credits: 03
Status: Sessional	Pre-requisite: Visualizing Complex Information (Concurrent or completed)

Course Rationale:

This laboratory course offers practical exposure to data visualization tools and techniques. Students gain hands-on experience in building meaningful visual representations of data and applying visualization principles to real-world datasets. The course encourages students to analyze and present data interactively and effectively.

Course Objectives:

To develop skills in using data visualization tools and frameworks.
To enable students to create clear, informative, and interactive visualizations.
To foster critical thinking about design choices in data presentation.
To apply visualization techniques to practical problems using real-world data.

Course Description:

CSE 4736 - Visualizing Complex Information Laboratory: CSE 4736 provides hands-on experience in creating visualizations for complex data. Students work on projects where they apply visualization techniques and tools to real-world datasets. The lab emphasizes the practical aspects of designing and implementing interactive visualizations, using software like Tableau, D3.js, and Python libraries. This lab helps students understand how to present data clearly and effectively for various applications.

Capstone Courses

Course Title: Software Development Project	Course Code: CSE 3000
Course Type: Core Course	Credits: 1.5
Status: Capstone Project	Pre-requisite: Information System Design

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 company.
To make students eligible to deal with changes during the middle of the development of software.
To prepare students to adapt to new technologies in the future.

Course Description:
CSE 3000 - Software Development Project: CSE 3000 offers students the opportunity to apply their software development skills in a real-world context by working on a complete software development project. The course emphasizes teamwork, project management, and the full software development life cycle, including requirements gathering, design, coding, testing, and deployment. Students work on a significant project that could involve creating a web or mobile application, developing a desktop software tool, or implementing an enterprise-level system. This course helps students develop practical experience and prepares them for the challenges of working in the software development industry.

Course Title: Industrial Attachment	Course Code: CSE 4001
Course Type: Core Course	Credits: 0.75
Status: Capstone Project	Pre-requisite: Software Development

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 engineer.
To help students improve their ability to present the experiences of industrial attachment orally and in writing.

Course Description:
CSE 4001 - Industrial Attachment / Internship /Professional Training:

This course is a core requirement for students of the B.Sc. in CSE program, offered in the 4th year (final year), second semester. It is designed to provide students with practical industry exposure through a two-week industrial attachment, internship, or professional training in a recognized organization from either the government or private sector. During this period, students work on trending technologies and participate in live projects under the supervision of industry professionals. The objective is to help students apply theoretical knowledge in real-world settings, develop technical expertise, and strengthen professional skills such as communication, teamwork, and ethical responsibility. The training is aligned with industry standards and serves as a key component of the program’s capstone experience. The course culminates in the submission of a comprehensive final report and a formal presentation detailing the training experience, learning outcomes, and project involvement. Student performance, report and presentation will be evaluated based on specific learning outcomes and program objectives, using standard rubrics to ensure fair and consistent assessment across all trainees.

Course Title: Final year Design Project	Course Code: CSE 4000
Course Type: Core Course	Credits: 04
Status: Capstone Project	Pre-requisite: Completion of all Courses till 3^rd Year

Course Rationale:

This course introduces students to computer science and engineering research through planning and managing an innovative capstone research project, using research methods, and considering broader professional issues related to the project.

Course Objective:

The objectives of the course are to:

Provide an opportunity to integrate and apply their previous engineering knowledge acquired throughout their undergraduate program to the solution of complex computing problems.
Develop creativity in analyzing and solving complex and possibly real-world or industry-related computing problems.
Develop skills to systematically design, develop, and document the solution of research projects.
Develop and enhance self-learning and life-long learning capabilities.
Make students aware of professional and ethical norms, conducts, and responsibilities in designing solutions to computing problems.
Facilitate modern software and engineering tools necessary to meet customer requirements.
Build the capacities needed to plan and manage a real-time project.
Gauge the impact of an engineering solution on the community, cultural context, physical and mental health, safety and security, environment, and sustainability.
Promote teamwork to solve real-world problems.
Develop written and verbal communication skills among students to communicate to a variety of audiences.

Course Description:
CSE 4000 - Final Year Design Project:

Total Credit: 4.00

CSE 4000A: 1.00 Credit in 7th Semester
CSE 4000B: 3.00 Credits in 8th Semester

The Final Year Design Project (FYDP) consists of two parts: CSE 4000A and CSE 4000B. In CSE 4000A (7th semester), students propose a project that aligns with their academic and professional goals. The project proposal undergoes approval, ensuring that it meets the necessary academic standards and learning objectives. By the end of the semester, students are required to submit an interim project report (proposal report) and deliver a presentation that demonstrates the planning of their Final Year Design Project. In CSE 4000B (8th semester), students implement the approved proposal and develop the required soft skills such as effective communication, teamwork, ethical leadership, project management, and design methodology. The course culminates in the submission of a comprehensive final report and a formal presentation, which must cover the project's background, objectives, methodology and implementation, achieved outcomes, implications and real-world applications, project scope and timeline, and economic decision-making considerations. Student performance, report and presentation will be evaluated based on specific learning outcomes and program objectives, using standard rubrics to ensure fair and consistent assessment.

Other Engineering Courses

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

Course Description:
ME 1104 - Mechanical Engineering Drawing: ME 1104 introduces students to the fundamentals of mechanical drawing and design, focusing on the creation of technical drawings used in engineering projects. The course covers topics such as orthographic projection, isometric drawing, dimensioning, and the use of CAD (Computer-Aided Design) tools. Students learn to represent mechanical components, assemblies, and systems accurately and clearly, ensuring that designs can be effectively communicated to manufacturers, engineers, and other stakeholders in the project lifecycle.

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 circuits.
To develop skills to analyze and criticize the behavior of electrical circuits.

Course Description:
EEE 1101 - Introduction to Electrical Engineering: EEE 1101 provides a comprehensive introduction to the field of electrical engineering, covering the fundamental concepts, theories, and applications of electrical systems. Topics include basic electrical circuits, electrical quantities like voltage, current, resistance, power, and energy, as well as an overview of electrical machines and power systems. The course helps students understand the core principles that underpin modern electrical technologies and prepares them for more advanced studies in areas like electronics, telecommunications, and power engineering.

Course Title: Introduction to Electrical Engineering Laboratory
Course Code: EEE 1102
Course Type: Other Engineering Course	Credits: 1.5
Status: Sessional	Pre-requisite: EEE 1101: Introduction to Electrical Engineering (concurrent or completed)

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 circuits.
Acquaint students with different measuring equipment used in electrical circuit analysis.
Develop the ability to verify the physical parameter in an electrical system.
Make the students understand the design concept and design issues of the electrical systems.

Course Description:
EEE 1102 - Introduction to Electrical Engineering Laboratory: EEE 1102 is the laboratory component that complements the theoretical knowledge gained in EEE 1101. Students engage in practical experiments that reinforce concepts such as Ohm’s Law, Kirchhoff's laws, and circuit analysis. They work with basic electrical components like resistors, capacitors, and inductors, and use instruments such as oscilloscopes and multimeters. The lab sessions also emphasize safety practices, measurement techniques, and data analysis, helping students develop hands-on skills essential for electrical engineering.

Course Title: Electronics Device and Circuits
Course Code: EEE 1201
Course Type: Other Engineering Course	Credits: 03
Status: Theory	Pre-requisite: EEE 1101: Introduction to Electrical Engineering

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 devices.
To provide foundation knowledge to solve unknown parameters of electronic circuits and devices.
To develop skills to design electronic circuits/networks.

Course Description:
EEE 1201 - Electronics Device and Circuits: EEE 1201 introduces students to the fundamental principles of electronics, focusing on the behavior and applications of semiconductor devices such as diodes, transistors, and operational amplifiers. The course covers the analysis of electronic circuits, including rectifiers, amplifiers, and oscillators. Students learn to design and analyze circuits for various electronic applications, preparing them for work in fields like telecommunications, consumer electronics, and microelectronics

Course Title: Electronics Device and Circuits Laboratory
Course Code: EEE 1202
Course Type: Other Engineering Course	Credits: 1.5
Status: Sessional	Pre-requisite: EEE 1201 Electronic Devices and Circuits (Concurrent or Completed)

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

Course Description:

EEE 1202 - Electronics Device and Circuits Laboratory: EEE 1202 is the laboratory course that provides hands-on experience with electronic devices and circuits. Students conduct experiments related to the topics covered in EEE 1201, such as the construction and analysis of amplifier circuits, rectifiers, and signal processing circuits. The laboratory sessions focus on developing skills in circuit assembly, measurement techniques, and troubleshooting, and provide a practical understanding of how electronic components are used to create functional systems.

Course Title: Data Communication
Course Code: CSE 4427
Course Type: Other Engineering Course	Credits: 03
Status: Theory	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 Communication.
Equip the skill required to apply encoding and communication protocols.
Facilitate students to analyze the error detection and correction techniques.

Course Description:
EEE 4427 - Data Communication: EEE 4427 focuses on the principles and technologies behind data communication systems. The course covers topics such as data transmission, encoding, modulation techniques, error detection and correction, and communication protocols. Students explore both wired and wireless communication systems, learning about network architectures, data transfer methods, and the role of protocols in ensuring efficient and secure communication. The course prepares students for careers in telecommunications, networking, and the design of communication systems, with an emphasis on modern technologies like the internet of things (IoT) and wireless communication networks.

Teaching Learning & Evaluation

Grading System

Grading Scale: 4.00 Grades: The performance of a student in a given course is made through continuous and summative assessments. That comprises quizzes / in-course, class participation, attendance, home work/assignment, case study, class test, mid-term and semester final examinations. Letter grades and grade points are used to evaluate the performance of a student in a given course. A+, A, A-, B+, B, B-, C+, C and D are the passing grades while F is the failing grade. Letter grades and corresponding numerical grades used in calculating the GPA/CGPA (Cumulative grade point average) are as follows:

Marks Range	Letter Grade		Grade Point
80% and above	A+	A Plus	4.00
75% to less than 80%	A	A Regular	3.75
70% to less than 75%	A-	A Minus	3.50
65% to less than 70%	B+	B Plus	3.25
60% to less than 65%	B	B Regular	3.00
55% to less than 60%	B-	B Minus	2.75
50% to less than 55%	C+	C Plus	2.50
45% to less than 50%	C	C Regular	2.25
40% to less than 45%	D	D Regular	2.00
Less than 40%	F		0.00

Grade Point Average (GPA) and Cumulative Grade Point Average (CGPA):

Grade Point Average (GPA) is the weighted average of the grade points obtained in all the courses attempted by a student. The four-step procedure that will be followed to calculate the CGPA (Cumulative Grade Point Average) of a student is given below:

Grade points earned in each course will be computed by multiplying the credit (C_i) and the individual grade point (G_i) earned in that course (i.e., C_i*G_i).
The grade points (determined in step i) of all the attempted courses will be added to determine the total grade point earned (i.e., ∑C_i*G_i).

Credits of all courses will be added together to determine the total credits (∑C_i).

CGPA will be determined by dividing the result of step (ii) by the result of step (iii). For example, if a student attempted n courses in a semester having credits C₁, C₂, … , C_n and his/her grade points in these courses are G₁, G₂, … , G_n respectively, then the CGPA can be calculated as follows:

CGPA =

A Numerical Example

Suppose a student has completed six courses in a semester and obtained the following grades:

Course	Credit *C_i*	Letter Grade	Grade Point *G_i*	**C_i G_i***
MAT 111	3.0	A+	4.00	12.00
ECO 101	3.0	A	3.75	11.25
CSE 101	3.0	A+	4.00	12.00
STA 101	3.0	F	0.00	0.00
ENG 101	3.0	A	3.75	11.25
MAT 121	1.5	B	3.00	4.50
Total	∑*C_i*= 16.5	∑ **C_i G_i*** = 51.00

CGPA = (51.00 / 16.50) = 3.09

Note: If the 3rd digit after decimal points is above ‘0’, grade will be rounded (ceiling) into the second digit after decimal. For example, 2.990 will be counted as 2.99 while 2.991 will be counted as 3.00 in CGPA calculation.

Teaching-Learning and Student Assessment Strategy for Theory Courses

Delivery Methods and Activities

Lecture
Digital Learning
Video or Animation
Interactive Lecture
Mathematical Problem solving
Group Discussion
Student Presentation

Student Assessment Tools:

Class Assessment - 10%
Assignment/ Class Performance - 10%
Class test- 20%
Mid Term-20%
Final Exam -40%

Teaching-Learning and Student Assessment Strategy for Laboratory Courses (Hardware)

Delivery Methods and Activities

Interactive Lecture
Experiment done by Students
Student Presentation
Student Demonstration

Student Assessment Tools:

Class Assessment - 10%
Lab Performance - 40%
Report- 20%
Quiz/Written Exam-20%
Viva -10%

Teaching-Learning and Student Assessment Strategy for Project Based Laboratory Courses (Hardware/Programming)

Delivery Methods and Activities

Interactive Lecture
Experiment done by Students
Student Presentation
Student Demonstration
Project

Student Assessment Tools:

Class Assessment - 10%
Lab Performance - 40%
Project- 30%
Presentation/Viva-20%
Report -20%

Teaching-Learning and Student Assessment Strategy for Laboratory Courses (Programming):

Delivery Methods and Activities

Interactive Lecture
Student Demonstration
Discussion
Experiment done by Students

Student Assessment Tools:

Class Assessment - 10%
Lab Performance - 20%
Report- 10%
Lab Exam-30%
Quiz/Written Exam-20%
Viva -10%

Teaching-Learning and Student Assessment Strategy for Seminar Type Courses:

Delivery Methods and Activities:

Lecture
Video Presentation
Interactive Discussion
Pair work
Audiotapes
Presentation
Selected Stories

Student Assessment Tools:

Class Assessment -10%
Class participation/ Group work -30%
Quiz/Class Test/Assignment- 30%
Presentation- 20%
Viva - 10%

Teaching-Learning and Student Assessment Strategies for Project/Thesis:

Teaching-Learning Strategy

Instructions
Reading Materials/PPT slides
Tutorials, E-Learning
Student Presentation
Group Work: Assignments, Discussions, Investigations, Presentations
Case Studies

Assessment Strategy

Project Report – 30%
Presentation – 30%
Project Demo – 40%

PREMIER UNIVERSITY

Department of Computer Science And Engineering

PREMIER UNIVERSITY

Department of Computer Science And Engineering

OBE Curriculum for CSE

Distribution of Courses

Course Rationale:

Course Rationale:

Quick Links and Contacts

Quick Links

Student's Link

Contact Details

SL. No.	Course Type		#Courses		Total Credits
SL. No.	Course Type		Theory	Sessional	Total Credits
1.	General Education	Language and General Education Courses	7	2	22
2.		Basic Science and Mathematics Courses	6	2	20.25
3.		Other Engineering Courses	3	3	12.75
4.	Core Courses (Including Capstone Courses)		16	18	74
5.	Elective Courses		5	4	21
	Total Number of Courses		37	29	150