M.Tech Computer Science and Engineering

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.

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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
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

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

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.

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.

Testimonials

  • Mr. Murugesh Nirani
  • Notable Alumni
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  • Dr. Sudha Murty
  • Notable Alumni
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  • Jenny Park
  • Reliance Industries Limited Recruiters
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Admission Help

Admission Help

+91-836-2378103

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info@kletech.ac.in

coe@kletech.ac.in (Controller of Examinations)

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