- 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 |
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 |