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ECE Course Descriptions(Page Under Construction)

  1. B.Tech - R18
  2. B.Tech - R16
  3. M.Tech - R18
  4. M.Tech - R16
  5. 2013 - 14
  6. 2013 - 14

Courses and Content Delivery (Under Autonomous)

The following are the courses during B.Tech - I, II, III, IV Semesters.

I Semester
Theory Practical
II Semester
Theory Practical
III Semester
Theory Practical
IV Semester
Theory Practical
V Semester
Theory Practical
VI Semester
Theory Practical
VII Semester
Theory Practical
VIII Semester
Theory Practical
ELECTIVES
Programme Professional Electives
GROUP – I: SEMICONDUCTOR TECHNOLOGY  GROUP – II: SIGNAL PROCESSING
  • 1 : Advanced Sensors and Signal Conditioning
  • 2 : Electronic Measurement and Instrumentation
  • 3 : Nano Electronics: Devices and Materials
  • 4 : RF Circuit Design
  • 1:  Digital Image Processing
  • 2 : Speech and Audio Processing
  • 3 : Video Processing
  • 4 : Advanced Digital Signal Processing
 GROUP – III: ADVANCED COMMUNICATIONS  GROUP – IV: MICRO ELECTRONICS
  • 1 : Cellular and Mobile Communications
  • 2 : Mobile Adhoc Networks
  • 3 : Radar Systems and Processing
  • 4 : Wireless Communications and Networks
  • 1 : Advanced Programmable Logic Device Architectures
  • 2 : Digital Design Through Verilog
  • 3 : Scripting Languages for VLSI Design
  • 4 : Design for Testability
 GROUP – V: DATA PROCESSING GROUP – VI: EMBEDDED SYSTEMS
  • 1 : Data Science and Techniques
  • 2 : Information Security
  • 3 : Artificial Neural Networks
  • 4 : Artificial Intelligence
  • 1 : Embedded System Design
  • 2 : Real Time Systems
  • 3 : Internet of Things (IoT)
  • 4 : Advanced RISC Machine Architectures
OPEN ELECTIVE – I OPEN ELECTIVE – II 
  • 1 : Disaster Management
  • 2 : Principles of Communications*
  • 3 : Operating Systems
  • 4 : Object Oriented Programming Through JAVA
  • 5 : Computer Networks
  • 1 : Optimization Techniques
  • 2 : Database Management Systems
  • 3 : Finite Element Analysis
  • 4 : Research Methodologies
  • 5 : Principles of Signal Processing*
OPEN ELECTIVE – III OPEN ELECTIVE – IV 
  • 1 : Energy from Waste
  • 2 : Cloud Computing
  • 3 : Python Programming
  • 4 : Electronics Instrumentation Engineering*
  • 5 : Neural Networks and Fuzzy Logic
  • 1 : Introduction to Robotics
  • 2 : Information Security
  • 3 : Image Processing*
  • 4 : Machine Learning
  • 4 : Artificial Intelligence
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