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Fees
₹8,00,000
Placement
92.0%
Avg Package
₹4,00,000
Highest Package
₹8,00,000
Fees
₹8,00,000
Placement
92.0%
Avg Package
₹4,00,000
Highest Package
₹8,00,000
Seats
150
Students
300
Seats
150
Students
300
The curriculum for the Electrical Engineering program at Adani University Ahmedabad is structured to provide a well-rounded education that balances theoretical knowledge with practical application. The program spans four years, divided into eight semesters, with each semester carrying specific credit requirements and learning outcomes.
| Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| I | 1 | ENG101 | English for Engineers | 2-0-0-2 | - |
| 1 | MAT101 | Mathematics I | 4-0-0-4 | - | |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - | |
| 1 | CHE101 | Chemistry for Engineers | 3-0-0-3 | - | |
| 1 | ECO101 | Engineering Economics | 2-0-0-2 | - | |
| 1 | EE101 | Introduction to Electrical Engineering | 3-0-0-3 | - | |
| 1 | L101 | Basic Electronics Laboratory | 0-0-3-2 | - | |
| 1 | IT101 | Computer Programming | 2-0-0-2 | - | |
| I | 2 | MAT102 | Mathematics II | 4-0-0-4 | MAT101 |
| 2 | PHY102 | Physics Laboratory | 0-0-3-2 | PHY101 | |
| 2 | CIV101 | Introduction to Civil Engineering | 2-0-0-2 | - | |
| 2 | EE102 | Circuit Analysis | 3-0-0-3 | EE101 | |
| 2 | EE103 | Electromagnetic Fields | 3-0-0-3 | MAT101 | |
| 2 | ME101 | Engineering Mechanics | 3-0-0-3 | - | |
| 2 | L102 | Electronics Laboratory | 0-0-3-2 | EE101 | |
| 2 | IT102 | Data Structures and Algorithms | 2-0-0-2 | IT101 | |
| II | 3 | MAT201 | Mathematics III | 4-0-0-4 | MAT102 |
| 3 | EE201 | Network Analysis | 3-0-0-3 | EE102 | |
| 3 | EE202 | Signals and Systems | 3-0-0-3 | MAT102 | |
| 3 | EE203 | Digital Electronics | 3-0-0-3 | EE101 | |
| 3 | EE204 | Electrical Machines I | 3-0-0-3 | EE102 | |
| 3 | EE205 | Control Systems | 3-0-0-3 | MAT201 | |
| 3 | L201 | Digital Electronics Laboratory | 0-0-3-2 | EE101 | |
| 3 | L202 | Control Systems Laboratory | 0-0-3-2 | EE205 | |
| II | 4 | MAT202 | Mathematics IV | 4-0-0-4 | MAT201 |
| 4 | EE206 | Electromagnetic Fields and Waves | 3-0-0-3 | EE103 | |
| 4 | EE207 | Analog Electronics | 3-0-0-3 | EE101 | |
| 4 | EE208 | Electrical Machines II | 3-0-0-3 | EE204 | |
| 4 | EE209 | Power Electronics | 3-0-0-3 | EE207 | |
| 4 | EE210 | Microprocessors and Microcontrollers | 3-0-0-3 | EE203 | |
| 4 | L203 | Analog Electronics Laboratory | 0-0-3-2 | EE207 | |
| 4 | L204 | Power Electronics Laboratory | 0-0-3-2 | EE209 | |
| III | 5 | EE301 | Power System Analysis | 3-0-0-3 | EE204 |
| 5 | EE302 | Communication Systems | 3-0-0-3 | EE202 | |
| 5 | EE303 | Electrical Machines III | 3-0-0-3 | EE208 | |
| 5 | EE304 | Industrial Electronics | 3-0-0-3 | EE209 | |
| 5 | EE305 | Embedded Systems | 3-0-0-3 | EE210 | |
| 5 | EE306 | Electromagnetic Compatibility | 3-0-0-3 | EE206 | |
| 5 | L301 | Power System Laboratory | 0-0-3-2 | EE301 | |
| 5 | L302 | Embedded Systems Laboratory | 0-0-3-2 | EE305 | |
| III | 6 | EE307 | Renewable Energy Systems | 3-0-0-3 | EE204 |
| 6 | EE308 | Digital Signal Processing | 3-0-0-3 | EE202 | |
| 6 | EE309 | Control System Design | 3-0-0-3 | EE205 | |
| 6 | EE310 | Smart Grid Technologies | 3-0-0-3 | EE301 | |
| 6 | EE311 | Microcontroller Applications | 3-0-0-3 | EE210 | |
| 6 | EE312 | Advanced Power Electronics | 3-0-0-3 | EE209 | |
| 6 | L303 | Renewable Energy Laboratory | 0-0-3-2 | EE307 | |
| 6 | L304 | Advanced Power Electronics Laboratory | 0-0-3-2 | EE312 | |
| IV | 7 | EE401 | Project Management | 2-0-0-2 | - |
| 7 | EE402 | Research Methodology | 2-0-0-2 | - | |
| 7 | EE403 | Special Topics in Electrical Engineering | 3-0-0-3 | EE301 | |
| 7 | EE404 | Electrical Engineering Design | 3-0-0-3 | EE208 | |
| 7 | EE405 | Artificial Intelligence in Electrical Systems | 3-0-0-3 | EE202 | |
| 7 | EE406 | Industrial Internship | 0-0-0-3 | - | |
| 7 | L401 | Capstone Project Laboratory | 0-0-6-4 | - | |
| 7 | L402 | Research and Development Laboratory | 0-0-6-4 | - | |
| IV | 8 | EE407 | Final Year Project | 0-0-12-8 | - |
| 8 | EE408 | Electrical Engineering Seminar | 2-0-0-2 | - | |
| 8 | EE409 | Professional Ethics and Sustainability | 2-0-0-2 | - | |
| 8 | EE410 | Entrepreneurship in Engineering | 2-0-0-2 | - | |
| 8 | EE411 | Advanced Topics in Power Systems | 3-0-0-3 | EE301 | |
| 8 | EE412 | Electrical Engineering Capstone | 3-0-0-3 | EE404 | |
| 8 | L403 | Final Year Project Laboratory | 0-0-6-4 | - | |
| 8 | L404 | Industry Exposure Workshop | 0-0-3-2 | - |
Each course in the curriculum is carefully designed to build upon previous knowledge while introducing new concepts and technologies relevant to modern electrical engineering. The credit structure reflects a balance between lectures, tutorials, practical sessions, and laboratory work.
Advanced departmental electives play a crucial role in shaping students' expertise and specialization within the field of Electrical Engineering. These courses are offered during the third and fourth years and allow students to delve deeper into specific areas of interest.
This course provides an in-depth understanding of power system components, including generation, transmission, and distribution systems. Students learn about load flow analysis, stability studies, and protection schemes used in modern power grids. The course emphasizes practical applications through simulations and case studies involving real-world scenarios.
The Communication Systems course explores the principles of analog and digital communication techniques, modulation schemes, noise analysis, and error correction methods. Students gain hands-on experience with communication equipment and software tools for designing and analyzing communication systems.
This elective builds on foundational knowledge of electrical machines by exploring advanced topics such as synchronous machine operation, induction motor drives, and control strategies for motor applications. The course includes laboratory work involving motor testing and performance evaluation.
Industrial Electronics focuses on the application of electronic systems in industrial processes, including programmable logic controllers (PLCs), variable frequency drives (VFDs), and sensor integration. Students learn to design and implement industrial control systems using modern electronics.
This course introduces students to the architecture and programming of embedded systems used in various applications such as automotive, aerospace, and consumer electronics. Topics include microcontroller programming, real-time operating systems, and hardware-software integration.
The Electromagnetic Compatibility course addresses issues related to electromagnetic interference and its impact on electronic systems. Students learn about shielding techniques, grounding methods, and compliance testing procedures required for ensuring proper EMC performance in devices and systems.
This elective covers the design and implementation of renewable energy technologies such as solar photovoltaic systems, wind turbines, and hydroelectric plants. Students study energy storage solutions, grid integration challenges, and economic considerations for deploying renewable energy systems.
Digital Signal Processing introduces students to mathematical tools for analyzing and processing signals in digital form. The course covers topics such as sampling theory, discrete Fourier transforms, filter design, and implementation using software tools like MATLAB and Simulink.
This course emphasizes the design and analysis of control systems for various applications including robotics, aerospace, and process control. Students learn to model dynamic systems, analyze stability, and implement controllers using modern techniques such as state-space methods and PID tuning.
The Smart Grid Technologies course explores the integration of renewable energy sources with modern grid infrastructure. Topics include smart meters, demand response programs, energy management systems, and cybersecurity in power grids. Students engage in projects involving grid simulation and optimization techniques.
This elective focuses on programming and application development using microcontrollers such as ARM Cortex-M series processors. Students learn to interface sensors, actuators, and communication modules to build intelligent systems for automation and monitoring applications.
Advanced Power Electronics builds on foundational knowledge of power electronics by exploring advanced topologies and control strategies. The course covers topics such as resonant converters, multilevel inverters, and wide-bandgap semiconductor devices used in high-efficiency power conversion systems.
The department's philosophy on project-based learning emphasizes the integration of theoretical knowledge with practical skills through hands-on experience. Projects are structured to mirror real-world engineering challenges, encouraging students to apply their learning in meaningful ways.
Mini-projects are undertaken during the second and third years, focusing on specific aspects of electrical engineering such as circuit design, control system implementation, or power system analysis. These projects help students develop problem-solving skills and foster creativity.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire fourth year. Students work in teams to tackle complex problems related to emerging technologies or industry needs. The project involves extensive research, design, development, and testing phases, culminating in presentations and documentation.
Project selection is guided by faculty mentors who provide expertise and support throughout the process. Students can choose from a list of suggested topics provided by faculty or propose their own ideas aligned with current trends and industry requirements.
Evaluation criteria for projects include technical depth, innovation, teamwork, presentation quality, and documentation standards. Faculty members evaluate student performance based on progress reports, peer reviews, and final outcomes, ensuring that students receive comprehensive feedback and guidance.
