Approved List of Elective Courses in BS(EE) Program
Mandatory and Qualifying:
- 6-8 weeks industrial training (Non-Credit)
- Community Service (Non-Credit)
Recommended List of Arts and Humanities Electives (2+0):
- Communication and Presentation skills (EN130)
- Professional Ethics (BP238)
- Foreign Languages (SD222)
Recommended List of Social Science Electives (2+0):
- Critical Thinking (SS201)
- Engineering Economics (MS224)
- Engineering Management (MS323)
Flexible Engg/ Non-Engg Elective (3+1):
- Computer Organization and Architecture
- Computer Vision (EE421, EE421L)
- Cloud Computing
- Artificial Intelligence (EE408, EE408L)
- Cyber Security Systems
- Embedded Systems (EE329, EE329L)
- EV Integration with Power Grid (EE332, EE332L)
- Sensors and Actuators (EE337, EE337L)
- Automotive Engineering (EE345)
Depth Elective Courses (Electronic Engineering):
Depth Electives (Core):
- Instrumentation and Measurement (EE416)
- Digital Signal Processing (EE415)
Depth Electives:
- Digital Electronics (EE445)
- Digital System Design (EE320)
- Electronic System Design (EE323)
- Power Electronics (EE446)
- Biomedical Signal Processing
- Robotics (CS5113)
- VLSI Circuit Design
- Applied Machine Learning (EE440)
Depth Elective Courses (Communication Engineering):
Depth Electives (Core):
- Instrumentation and Measurement (EE416)
- Digital Signal Processing (EE415)
Depth Electives:
- Computer Networks (EE330)
- Digital Communication
- Wireless Communication (EE480)
- Internet of Things (EE453)
- Network Security (CS437)
- Wireless and Mobile Networks
- Applied Machine Learning (EE440)
- Smart Grid (EE429)
Depth Elective Courses (Power Systems Engineering):
Depth Electives (Core):
- Instrumentation and Measurement (EE416)
- Power Electronics (EE446)
Depth Electives:
- Power System Analysis and Design (EE406)
- Power System Operation and Control (PE420)
- High Voltage Engineering (EE426)
- Power System Protection (EE423)
- Renewable Electrical Energy Resources (EE407)
- Electrical Machine Design (EE424)
- Smart Grid (EE429)
- Applied Machine Learning (EE440)
- Power Plant Engineering (ME641)
Proposed Electives for Multi-Disciplinary Domain (MDEE):
- Applied Mechanics
- Thermodynamics
- Human Computer Interaction
- Robotics
- Optimization Techniques