Comprehensive Course Structure
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | ENG101 | English for Engineers | 3-0-0-3 | - |
| I | MAT101 | Mathematics I | 4-0-0-4 | - |
| I | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| I | CHE101 | Chemistry for Engineers | 3-0-0-3 | - |
| I | EEE101 | Basic Electrical Engineering | 3-0-0-3 | - |
| I | EG101 | Engineering Graphics | 2-0-0-2 | - |
| I | CSE101 | Introduction to Programming | 3-0-0-3 | - |
| II | MAT102 | Mathematics II | 4-0-0-4 | MAT101 |
| II | PHY102 | Physics II | 3-0-0-3 | PHY101 |
| II | EEE102 | Circuit Analysis | 3-0-0-3 | EEE101 |
| II | ME101 | Mechanics of Materials | 3-0-0-3 | - |
| II | CSE102 | Data Structures | 3-0-0-3 | CSE101 |
| II | LIT101 | Communication Skills | 2-0-0-2 | - |
| III | MAT201 | Mathematics III | 4-0-0-4 | MAT102 |
| III | EEE201 | Electromagnetic Fields | 3-0-0-3 | PHY102 |
| III | EEE202 | Electrical Machines I | 3-0-0-3 | EEE102 |
| III | EEE203 | Network Analysis | 3-0-0-3 | EEE102 |
| III | ME201 | Thermodynamics | 3-0-0-3 | - |
| III | CSE201 | Computer Organization | 3-0-0-3 | CSE102 |
| IV | MAT202 | Mathematics IV | 4-0-0-4 | MAT201 |
| IV | EEE204 | Power System Analysis | 3-0-0-3 | EEE201 |
| IV | EEE205 | Electrical Machines II | 3-0-0-3 | EEE202 |
| IV | EEE206 | Control Systems | 3-0-0-3 | EEE201 |
| IV | EEE207 | Signals and Systems | 3-0-0-3 | MAT201 |
| IV | CSE202 | Operating Systems | 3-0-0-3 | CSE201 |
| V | EEE301 | Power Electronics | 3-0-0-3 | EEE205 |
| V | EEE302 | Microprocessor and Microcontroller | 3-0-0-3 | CSE201 |
| V | EEE303 | Digital Signal Processing | 3-0-0-3 | EEE207 |
| V | EEE304 | Instrumentation and Measurement | 3-0-0-3 | EEE201 |
| V | EEE305 | Power System Protection | 3-0-0-3 | EEE204 |
| V | CSE301 | Database Management Systems | 3-0-0-3 | CSE202 |
| VI | EEE306 | Renewable Energy Sources | 3-0-0-3 | EEE204 |
| VI | EEE307 | Advanced Control Systems | 3-0-0-3 | EEE206 |
| VI | EEE308 | Smart Grid Technologies | 3-0-0-3 | EEE204 |
| VI | EEE309 | Electromagnetic Compatibility | 3-0-0-3 | EEE201 |
| VI | CSE302 | Software Engineering | 3-0-0-3 | CSE202 |
| VII | EEE401 | Capstone Project I | 6-0-0-6 | EEE307 |
| VIII | EEE402 | Capstone Project II | 6-0-0-6 | EEE401 |
The department places a strong emphasis on project-based learning, which is integrated throughout the curriculum. Students begin with small group projects in early semesters to build foundational skills, gradually progressing to complex, multi-disciplinary capstone projects in the final year.
Advanced Departmental Elective Courses
Students in their fourth and fifth years can choose from a wide range of advanced departmental electives that align with current industry trends and research areas:
- Power Electronics and Drives: This course focuses on designing efficient power conversion systems, including DC-DC converters, AC-AC inverters, and motor drive controllers. Students learn to model and simulate these systems using MATLAB/Simulink and implement them in real-time applications.
- Control Systems Design: This elective covers modern control theory, including state-space representation, robust control, and optimal control methods. Students apply theoretical knowledge through simulation-based projects involving industrial process control and robotics.
- Renewable Energy Integration: Focused on integrating solar and wind power into existing grids, this course explores energy storage systems, grid stability, and policy frameworks for clean energy adoption. Students work on case studies from real-world installations.
- Embedded Systems Programming: This course introduces students to microcontroller architectures, embedded C programming, real-time operating systems (RTOS), and hardware-software co-design. Projects involve developing IoT devices using ARM Cortex-M series processors.
- Digital Signal Processing Applications: Students learn advanced signal processing techniques including digital filters, FFT algorithms, and wavelet transforms. They implement these concepts in audio/video processing, biomedical signal analysis, and communication systems.
- Smart Grid Technologies: This course delves into smart metering, demand response, energy storage integration, and cybersecurity in power systems. Students gain hands-on experience through lab simulations and field visits to operational grids.
- Power System Protection: Students study relay characteristics, fault analysis, and protection schemes for transformers, generators, and transmission lines. Practical sessions involve setting up protective relays and analyzing actual fault data from power companies.
- Electromagnetic Compatibility: This course addresses electromagnetic interference (EMI) sources, shielding techniques, and compliance testing. Students learn to design circuits that meet international standards like IEC 61000.
- Advanced Control Systems: Focuses on nonlinear control, adaptive control, and neural networks in control applications. Real-world case studies from aerospace, automotive, and process industries are used to illustrate concepts.
- Microprocessor Architecture: Covers advanced microprocessor design principles, instruction set architecture (ISA), pipelining, cache memory, and performance optimization. Students build custom processors using Verilog HDL.
Each elective is designed to provide students with specialized knowledge that enhances their competitiveness in the job market or prepares them for postgraduate studies. Faculty members leading these courses are active researchers and industry consultants, ensuring that the curriculum remains current and relevant.
Project-Based Learning Philosophy
The department believes in fostering critical thinking and problem-solving skills through immersive project experiences. Projects are structured to mirror real-world engineering challenges, encouraging collaboration, innovation, and multidisciplinary integration.
Mini-projects begin in the third semester, where students work in small teams on tasks such as designing a simple DC motor controller or implementing a basic embedded system. These projects are evaluated based on technical execution, teamwork, presentation quality, and adherence to deadlines.
The final-year capstone project is a significant component of the program, lasting 12 months. Students select their topics in consultation with faculty mentors, who guide them through conceptualization, design, implementation, testing, and documentation phases. The final deliverables include a comprehensive report, working prototype, and a formal presentation to an industry panel.
Faculty mentors are selected based on expertise relevant to the student’s chosen topic. A mentorship system ensures continuous support throughout the project lifecycle, with regular meetings scheduled bi-weekly or monthly depending on project complexity.