M Tech Courses in Computer Science Engineering ( CSE )

Course Overview
Course Curriculum
Educational Objectives
Programme Outcomes

The Postgraduate Program in Computer Science and Engineering offers a curriculum based on theoretical foundations and practical applications

Equipping students with a solid foundation of skills and, more importantly, the ability to adapt to the constantly evolving landscape of the computing discipline.

The curriculum includes advanced courses in core areas of computer science and flexible electives to meet your professional goals, including courses in Software Engineering, Big Data, Data Analytics, Artificial intelligence, High-Performance Computing, Cloud Computing, and Information Security.

Course Curriculum

Semester I

Sl. No.	code	Course	Category	L-T-P	Credits	Contact Hours	ISA	ESA	Total	Exam Duration
1	19ECSC701	Applied Mathematics	PC	3-0-1	04	05	50	50	100	3 hours
2	20ECSC702	Data Mining and Machine Learning	PC	3-0-0	03	03	50	50	100	3 hours
3	20ECSC703	Advance Computer Network	PC	3-0-1	04	05	50	50	100	3 hours
4	20ECSC704	Internet Of Things	PC	3-0-1	04	05	50	50	100	3 hours
5	20ECSC705	Operating System	PC	3-0-1	04	05	50	50	100	3 hours
6	20ECSP706	Problem Solving Laboratory	PC	0-0-3	06	06	80	20	100	3 hours
7	20ECSP707	Python Programming with QT Designer Laboratory	PC	0-0-1.5	1.5	03	80	20	100	3 hours
7	20ECSP708	Web Technology laboratory	PC	0-0-1.5	1.5	03	80	20	100	3 hours
TOTAL				25(15-0-10)	25	35	490	310	800

Note: L: Lecture T: Tutorials, P: Practical, ISA: In Semester Assessment, ESA: End Semester Assessment

Semester II

No	Course	L-T-P	Credits	Contact Hours	ISA	ESA	Total	Exam Duration
1	PLM Advanced	2-0-0	2	02	50	50	100	3 hours
2	Enterprise Resource Planning – II	3-0-0	3	03	50	50	100	3 hours
3	Project Feasibility and Analysis	3-0-0	4	05	50	50	100	3 hours
4	Research Methodology	2-1-0	3	04	100	–	100	–
5	Elective-II	3-0-0	3	03	50	50	100	3 hours
6	Additive Manufacturing	3-0-0	3	03	50	50	100	3 hours
6	Manufacturing Systems and Automation	3-0-0	3	03	50	50	100	3 hours
7	Manufacturing Execution System	3-0-0	3	03	50	50	100	3 hours
8	Robust Design Optimization	3-0-0	3	03	50	50	100	3 hours
9	PLM Technical Lab	0-0-2	2	04	80	20	100	2 hours
10	ERP Technical Lab	0-0-2	2	04	80	20	100	2 hours
11	Product Automation Lab	0-0-3	3	06	80	20	100	2 hours
12	Mini Project	0-0-3	3	06	50	50	100	2 hours
TOTAL		14-0-11	25	36

Note: L: Lecture T: Tutorials, P: Practical, ISA: In Semester Assessment, ESA: End Semester Assessment, PJ-Project, PC-Programme Core, PE-Programme Elective

Semester III

Sl. No.	code	Course	Category	L-T-P	Credits	Contact Hours	ISA	ESA	Total	Exam Duration
1	20ECSW801	Industrial Training MIni Project	PJ	0-0-10	08	24	50	50	100	3 hours
2	20ECSW802	Project Work Phase-I	PJ	0-0-8	10	30	50	50	100	3 hours
TOTAL				0-0-18	18	54	100	100	200

Note:

Industrial Training: The student shall undergo industrial training for a period of 08 weeks. Preliminary Report submission and Evaluation after 8th week of Industrial training to be carried out by the Joint evaluation by Internal Guide of the University and Industry mentor for 50 marks. Final Report submission and evaluation after 9th week of Industrial training to be carried out by the Internal Guide of the university and a senior faculty of Dept./ External examiner.

Project Phase I: Problem formulation and submission of Synopsis within ten weeks from the commencement of the third semester in consultation with the Guide and the PG Coordinator. This shall be evaluated for 50 marks by the Guide and the PG Coordinator. The Design Methodology and Solution Model needs to be completed by twelve weeks and shall be evaluated by the Guide and the PG Coordinator for 50 marks.

Project Phase I must be a Research Project if not done in Industry.

Mini Project is independent of Project Phase-I.

Evaluation of ISA is based on Rubrics.

Semester IV

Sl. No.	code	Course	Category	L-T-P	Credits	Contact Hours	ISA	ESA	Total	Exam Duration
1	20ECSW802	Project Work Phase-II	PJ	0-0-20	20	40	50	50	100	3 hours
TOTAL				0-0-28	20	40	100	100	200

Note: L: Lecture T: Tutorials, P: Practical, ISA: In Semester Assessment, ESA: End Semester Assessment, PJ-Project, PC-Programme Core, PE-Programme Elective

Programme Educational Objectives (PEOs)

Program Educational Objectives of M.Tech Computer Science and Engineering

Gain in depth knowledge of Computer Science and Engineering and acquire capabilities to compete at global level with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge to conduct research in theoretical, practical and policy context.

Have in depth knowledge and research skills to professionally practice in a variety of fields including databases, computer network, system software and Embedded Systems.

Acquire strengths and skills to work in a collaborative and multidisciplinary work and learn techniques to use modern tools required for simulation, modeling and measuring.

Have knowledge and understanding of managing projects and finance efficiently as a member and leader in a team with greater communication skills preferred by the profession.

Acquire professional and intellectual integrity and ethics, learn independently and continuously to upgrade the knowledge and competence with enthusiasm.

Programme Outcomes (POs)

An ability to independently carry out research and development solve practical problems.
An ability to write and present a substantial technical report/document.
Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.
An ability to use modern computational tools in modeling, simulation and analysis with effective participation in multidisciplinary teams and contribute towards achieving the common goals of the team.
An ability to work with integrity and ethics in their professional practice having an understanding of responsibility towards society with sustainable development for life time.