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  • Programme Description
  • Programme Structure
  • Programme Enquiry

Programme Educational Objectives (PEOs)

PEO 1: Pursue successful professional career in IT and IT-enabled industriesto design innovative and optimized solutions.

PEO 2: Pursue continuous learning in generating innovative engineering solutions using research and complex problem-solving skills.

PEO 3: Pursue effective project management and communication skillscater the needs of industry and society at large.

Programme Specific Outcomes (PSOs)

PSO 1: Enrich problem solving skills to realize optimized solutions for various computing problems using cutting-edgetools and technologies.

PSO 2: Design and developeconomically feasible and environmentally sustainable solutionsusingvarious algorithms and applications of Machine Learning, Artificial Intelligence and IoT.

Programme Outcomes (POs)
PO 1: Apply the knowledge of engineering principles to realize solutions such as software systems, products and processes for real world multifaceted problems.

PO 2: Identify, analyse and formulate solutions to complex engineering problems using innovative and emerging technologies.

PO 3: Design and conduct experiments, procedures and technical skills necessary to explore solutions for societal problems through sustainable development.

PO 4: Recognize the necessityofself-governing and life-long learning by making use of professional and ethical principles.

PO 5: Work in independently/ in groups to carry out research / investigation and develop solutions to solve practical problems.

PO 6: Effectively present technical ideas/solutionsin an impressive and professional manner.


I Year I Semester
Code Subject L T P C
20CS001 Cryptography and Network Security 3 - 2 4
20CS002 Internet of Things 3 - 2 4
20CS003 Machine Learning 3 - - 3
20CS023 Data Structure And Algorithms 3 - - 3
Department Elective- 1 3 - - 3
20AD001 Audit Course – 1 1 - - -
20CS004 Mini Project - - 4 2
Total 16 - 8 19

I Year II Semester
Code Subject L T P C
20CS005 Cloud Computing 3 - 2 4
20CS006 Bigdata Analytics 3 - 2 4
Department Elective- 2 3 - - 3
Department Elective- 3 3 - - 3
20RM001 Research Methodology & IPR 2 - - 2
20AD002 Audit Course – 2 1 - - -
20EP001 Employment Orientation Program - - 3 2
20SC001 Societal Centric/Industry Oriented Project - - 3 2
Total 15 - 10 20

II Year III Semester
Code Subject L T P C
20OC001 MOOCs Course- 1(Inter disciplinary Nature) 3 - - 3
20OC002 MOOCs Course- 2(Inter disciplinary Nature) 3 - - 3
Total 6 - - 6

II Year IV Semester
Code Subject L T P C
20PR001 Project / Internship : phase 1 - - 20 10
20PR002 Project / Internship : phase 2 - - 32 16
Total - - 52 26

Electives
Sl. No. Course Code Course Title
1 20CS007 Fundamentals of Image Processing
2 20CS008 Cyber Security & Laws
3 20CS009 Advanced Data Mining
4 20CS010 Artificial Intelligence
5 20CS011 Mobile Adhoc Networks
6 20CS013 Wireless Communication Networks
7 20CS014 Wireless Computer Networks
8 20CS015 Biometrics
9 20CS016 Deep Learning
10 20CS017 Cloud Security
11 20CS018 Web and Database Security
12 20CS019 Pattern Recognition
13 20CS020 Natural Language Processing
14 20CS021 Block Chain Technologies
15 20CS022 Optimization Techniques
Programme Name M.Tech in Computer Science and
Engineering
Level Post Graduation
Programme Specific Enquiries 0863-2344731
Admission Enrollment and General Enquiries 0863-2344777, 1800-425-2529
HoD Contact Number 9840850744

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