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.

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.

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:

• 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

1. Duration of the program: Years:  4, Semesters: 8
2. 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 0 in SSC and HSC.
   • Equivalent performance under other educational systems (e.g. American High School Diploma, IB, etc.) will also be
   • 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
3. Total minimum credit requirement to complete the program: According to BNQF (Part B) for Higher Education: 150
4. 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
5. Minimum CGPA requirements for graduation: 0
6. Maximum academic years of completion: 7 academic years
7. Category of Courses:
   There are five different types of Courses in the Curriculum:
   1. Generals Education Courses:
      1. Language and General Education
      2. Basic Science and Mathematics
      3. Other Engineering
   2. Core
   3. Capstone
   4. Major Elective
   5. 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:

1. 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

2. 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

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

4. 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	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

5. 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

   
   
6. 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

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:

For Lab:

For Industrial Training:

For Project: