Comprehensive Course Structure
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | PH101 | Physics for Electronics | 3-1-0-4 | None |
| I | CH101 | Chemistry for Engineers | 3-1-0-4 | None |
| I | MA101 | Calculus and Differential Equations | 4-0-0-4 | None |
| I | EC101 | Introduction to Electronics | 3-1-0-4 | None |
| I | CS101 | Programming Fundamentals | 2-1-0-3 | None |
| I | GE101 | English for Communication | 2-0-0-2 | None |
| I | ME101 | Mechanics of Materials | 3-1-0-4 | None |
| I | EC102 | Basic Electronics Lab | 0-0-3-1 | EC101 |
| II | PH201 | Electromagnetic Fields | 3-1-0-4 | PH101 |
| II | CH201 | Materials Science | 3-1-0-4 | CH101 |
| II | MA201 | Linear Algebra and Probability | 3-0-0-3 | MA101 |
| II | EC201 | Circuit Analysis | 3-1-0-4 | EC101 |
| II | CS201 | Data Structures and Algorithms | 3-1-0-4 | CS101 |
| II | EC202 | Digital Logic Design | 3-1-0-4 | EC101 |
| II | EC203 | Electronics Lab | 0-0-3-1 | EC102 |
| III | EC301 | Signals and Systems | 3-1-0-4 | MA201 |
| III | EC302 | Analog Electronics | 3-1-0-4 | EC201 |
| III | EC303 | Microprocessors and Microcontrollers | 3-1-0-4 | EC202 |
| III | EC304 | Control Systems | 3-1-0-4 | EC301 |
| III | EC305 | Electromagnetic Waves | 3-1-0-4 | PH201 |
| III | EC306 | Communication Systems | 3-1-0-4 | EC301 |
| III | EC307 | Electronics Lab II | 0-0-3-1 | EC203 |
| IV | EC401 | VLSI Design | 3-1-0-4 | EC302 |
| IV | EC402 | Power Electronics | 3-1-0-4 | EC302 |
| IV | EC403 | Embedded Systems | 3-1-0-4 | EC303 |
| IV | EC404 | Wireless Communication | 3-1-0-4 | EC306 |
| IV | EC405 | Image Processing | 3-1-0-4 | EC301 |
| IV | EC406 | Robotics and Automation | 3-1-0-4 | EC304 |
| IV | EC407 | Electronics Lab III | 0-0-3-1 | EC307 |
| V | EC501 | Artificial Intelligence | 3-1-0-4 | CS201 |
| V | EC502 | Machine Learning | 3-1-0-4 | EC501 |
| V | EC503 | Renewable Energy Systems | 3-1-0-4 | EC402 |
| V | EC504 | Advanced Control Theory | 3-1-0-4 | EC304 |
| V | EC505 | Data Communications and Networking | 3-1-0-4 | EC306 |
| V | EC506 | Optical Fiber Communication | 3-1-0-4 | EC306 |
| V | EC507 | Project Proposal | 0-0-0-2 | None |
| VI | EC601 | Capstone Project | 0-0-6-6 | EC507 |
| VI | EC602 | Internship | 0-0-0-3 | None |
| VI | EC603 | Elective I | 3-1-0-4 | None |
| VI | EC604 | Elective II | 3-1-0-4 | None |
| VII | EC701 | Special Topics in Electronics Engineering | 3-1-0-4 | EC501 |
| VII | EC702 | Advanced Signal Processing | 3-1-0-4 | EC301 |
| VII | EC703 | Research Methodology | 2-0-0-2 | None |
| VIII | EC801 | Final Year Thesis | 0-0-6-6 | EC703 |
| VIII | EC802 | Professional Practices | 1-0-0-1 | None |
| VIII | EC803 | Elective III | 3-1-0-4 | None |
| VIII | EC804 | Elective IV | 3-1-0-4 | None |
Advanced departmental elective courses include:
- Deep Learning for Computer Vision: Focuses on convolutional neural networks, image classification, object detection, and real-time applications in autonomous vehicles.
- Internet of Things (IoT) and Smart Cities: Covers sensor integration, network protocols, edge computing, and urban planning through smart infrastructure development.
- Quantum Computing Fundamentals: Introduces quantum algorithms, qubit manipulation, and quantum error correction techniques applicable in next-generation computing systems.
- Sustainable Electronics Design: Explores eco-friendly materials, recyclable components, and lifecycle analysis for electronic devices to reduce environmental impact.
- Neural Networks and Brain-Inspired Computing: Studies neuromorphic architecture, spiking neural networks, and brain-machine interfaces for cognitive computing systems.
- RF and Microwave Engineering: Covers antenna design, microwave components, and transmission line theory used in wireless communication systems.
- Advanced Embedded Systems: Delves into real-time OS, hardware-software co-design, and system-on-chip integration for complex applications.
- Smart Grid Technologies: Examines grid management, renewable energy integration, and smart metering systems for efficient power distribution.
- Biomedical Electronics: Focuses on medical device design, biosensors, and physiological signal processing for healthcare innovations.
- Advanced VLSI Design Techniques: Explores advanced layout design, testing methodologies, and chip-level optimization strategies for high-performance circuits.
The department emphasizes project-based learning through a structured framework that encourages innovation and creativity:
- Mini-Projects (Years I-II): Students work in small teams on guided projects related to circuit design or system integration, supervised by faculty mentors.
- Capstone Project (Year IV): Final-year students propose and execute an independent research or development project aligned with industry needs, culminating in a detailed thesis and presentation.
- Evaluation Criteria: Projects are evaluated based on technical depth, innovation, documentation quality, team collaboration, and final demonstration.
Students select their projects through a mentorship system involving faculty advisory panels. The selection process ensures alignment with personal interests, skill development goals, and industry relevance.