M.Tech. in Communication Systems
Electrical Engineering, Department of
Programme Code: EEE
M. Tech.
Overall Credit Structure
Course CategoryCredits
PC (Programme Core) 44
PE (Programme Elective) 12
OE (Open Elective) 6
Total Graded Credit Requirement 62
Non-Graded Units (NGU)Units
Total Non-Graded Units 0
Programme Learning Outcomes
PLOOutcome
PLO 1 Students will be able to demonstrate strong theoretical and applied foundations in the broad areas of signal processing and wireless communications, and will be able to solve industry- driven problems.
PLO 2 Students will be able to effectively communicate their ideas to the society in the form of technical reports and impactful presentations, work independently as well as with multidisciplinary teams, provide ethical, and sustainable solutions to engineering problems.
Programme Core
Course No. Course Title L T P Credits
ELD7007Cornerstone Project0063
ELD7460 Summer Internship/Minor Project0063
ELD7461 MTech Project Part 100126
ELD7465MTech Project Part 2
ELL7000Professional Ethics in Electrical Engineering1001
ELL7400Signal Theory3003
ELL7401Digital Communications3003
ELL7402Detection and Estimation Theory3003
ELL7403Computer Communication Networks3024
ELL7411Wireless Communications3003
ELN7001Teaching and Research Practicum 0084
ELP7411Wireless Communications Laboratory0143
Programme Electives
Course No. Course Title L T P Credits
BSP7010Communication and Signal Processing Technologies Laboratory0143
ELL7293Computer Vision3003
ELL7311Microwave Theory and Techniques3003
ELL7328Applied VLSI Design3003
ELL7405Basic Information Theory3003
ELL7406Coding Theory3003
ELL7410Statistical Signal Processing3003
ELL7412Multichannel Signal Processing3003
ELL7413Microwave Theory and Techniques3003
ELL7414Selected Topics in Communication and Signal Processing - I3003
ELL7420Advanced Digital Signal Processing3003
ELL7437Fiber-Optic Communication Systems3003
ELL7450Machine Learning for Wireless Communications3024
ELL8415MIMO Wireless Communication3003
ELL8416Wireless Optical Communication3003
Semester-wise Schedule
Sem Courses & Baskets Hrs /
week
NGU Credits
1
ELL7401 Digital Communications (3.0-0.0-0.0) 3.00
ELL7400 Signal Theory (3.0-0.0-0.0) 3.00
ELL7402 Detection and Estimation Theory (3.0-0.0-0.0) 3.00
ELL7403 Computer Communication Networks (3.0-0.0-2.0) 4.00
ELN7001 Teaching and Research Practicum (0.0-0.0-8.0) 4.00
22 4 13
Winter
ELD7007 Cornerstone Project (0.0-0.0-6.0) 3.00
6 0 0
2
ELD7007 Cornerstone Project (0.0-0.0-6.0) 3.00
ELL7411 Wireless Communications (3.0-0.0-0.0) 3.00
ELN7001 Teaching and Research Practicum (0.0-0.0-8.0) 4.00
PE 1
PE 2
PE 3
26 4 15
Summer
ELD7460 Summer Internship/Minor Project (0.0-0.0-6.0) 3.00
6 0 3
3
ELD7461 MTech Project Part 1 (0.0-0.0-12.0) 6.00
ELP7411 Wireless Communications Laboratory (0.0-1.0-4.0) 3.00
ELL7000 Professional Ethics in Electrical Engineering (1.0-0.0-0.0) 1.00
ELN7001 Teaching and Research Practicum (0.0-0.0-8.0) 4.00
PE 4
29 4 13
4
ELD7465 MTech Project Part 2 (0.0-0.0-24.0) 12.00
ELN7001 Teaching and Research Practicum (0.0-0.0-8.0) 4.00
OE
(3-0-0) 3
OE
(3-0-0) 3
38 4 18
Total 127 16 62
Notes

ELD7007 Cornerstone Project is to be initiated during the winter and will continue into semester-2. Evaluation for this is expected during semester-2.

Streams: The program will operate under four streams.

  1. Reliable and Secure Networks
  2. Next Generation Networks
  3. Intelligent Integrated Networks
  4. Signal Processing and Learning

To subscribe to a stream, the student has to credit two foundational electives of the stream, followed by two electives from the baskets given. The foundational along with the basket-electives will comprise the PEs for the program.

Reliable and Secure Networks: Foundational Electives

  1. ELL7408 Network Security (3-0-0)
  2. Advanced Data Structures

Next Generation Networks: Foundation Electives

  1. BSP7010 Communication and Signal Processing Technologies Laboratory (0-1-4)
  2. Embedded Telecommunication Systems Laboratory

Intelligent Integrated Networks

  1. ELL7328 Applied VLSI Design (3-0-0) 
  2. Computer Architecture

Signal Processing and Learning

  1. Introduction to Machine Learning
  2. ELL7420 Advanced Digital Signal Processing (3-0-0)