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Fees
₹1,20,000
Placement
94.5%
Avg Package
₹6,00,000
Highest Package
₹9,50,000
Fees
₹1,20,000
Placement
94.5%
Avg Package
₹6,00,000
Highest Package
₹9,50,000
Seats
100
Students
350
Seats
100
Students
350
| 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.
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:
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.
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.