Curriculum Overview
The Electrical Engineering program at Pandit Deendayal Energy University Gandhinagar is structured to provide a comprehensive understanding of core electrical engineering principles while offering flexibility for specialization. The curriculum spans eight semesters, with each semester carefully designed to build upon previous knowledge and introduce new concepts relevant to the field.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | PHYS-101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | MATH-101 | Calculus and Differential Equations | 4-0-0-4 | - |
| 1 | ENGL-101 | English for Technical Communication | 3-0-0-3 | - |
| 1 | CSE-101 | Introduction to Computer Programming | 2-0-2-4 | - |
| 1 | EE-101 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | MECH-101 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | MATH-201 | Linear Algebra and Probability | 3-0-0-3 | MATH-101 |
| 2 | PHYS-201 | Electromagnetic Fields and Waves | 3-1-0-4 | PHYS-101 |
| 2 | CSE-201 | Data Structures and Algorithms | 3-0-2-5 | CSE-101 |
| 2 | EE-201 | Circuit Analysis and Design | 3-1-0-4 | EE-101 |
| 2 | EE-202 | Electrical Machines I | 3-1-0-4 | EE-101 |
| 3 | MATH-301 | Statistics and Numerical Methods | 3-0-0-3 | MATH-201 |
| 3 | EE-301 | Electromagnetic Field Theory | 3-1-0-4 | PHYS-201 |
| 3 | EE-302 | Signals and Systems | 3-1-0-4 | MATH-201 |
| 3 | EE-303 | Digital Logic Design | 3-1-0-4 | EE-201 |
| 3 | EE-304 | Control Systems | 3-1-0-4 | MATH-201 |
| 3 | EE-305 | Electrical Machines II | 3-1-0-4 | EE-202 |
| 4 | EE-401 | Power System Analysis | 3-1-0-4 | EE-305 |
| 4 | EE-402 | Power Electronics | 3-1-0-4 | EE-301 |
| 4 | EE-403 | Communication Systems | 3-1-0-4 | EE-302 |
| 4 | EE-404 | Microprocessor and Microcontroller Applications | 3-1-0-4 | CSE-201 |
| 4 | EE-405 | Electronics Devices and Circuits | 3-1-0-4 | EE-301 |
| 5 | EE-501 | Renewable Energy Systems | 3-1-0-4 | EE-401 |
| 5 | EE-502 | Advanced Control Systems | 3-1-0-4 | EE-304 |
| 5 | EE-503 | VLSI Design | 3-1-0-4 | EE-405 |
| 5 | EE-504 | Power System Protection | 3-1-0-4 | EE-401 |
| 5 | EE-505 | Smart Grid Technologies | 3-1-0-4 | EE-401 |
| 6 | EE-601 | Advanced Power Electronics | 3-1-0-4 | EE-402 |
| 6 | EE-602 | Wireless Communication Systems | 3-1-0-4 | EE-403 |
| 6 | EE-603 | Embedded System Design | 3-1-0-4 | EE-404 |
| 6 | EE-604 | Signal Processing Techniques | 3-1-0-4 | EE-302 |
| 6 | EE-605 | Energy Storage Systems | 3-1-0-4 | EE-501 |
| 7 | EE-701 | Research Methodology | 2-0-0-2 | - |
| 7 | EE-702 | Industrial Training | 0-0-6-6 | - |
| 7 | EE-703 | Project Work I | 0-0-6-6 | - |
| 8 | EE-801 | Final Year Project | 0-0-12-12 | - |
| 8 | EE-802 | Capstone Seminar | 2-0-0-2 | - |
| 8 | EE-803 | Internship | 0-0-6-6 | - |
Advanced departmental elective courses are offered in the final two years, allowing students to specialize in their chosen area of interest. These courses are designed to provide in-depth knowledge and practical skills required for professional success.
Departmental Elective Courses
Renewable Energy Systems: This course focuses on solar photovoltaic systems, wind energy conversion systems, hydroelectric power generation, and biomass energy technologies. Students learn about the design, installation, and maintenance of renewable energy systems, including grid integration challenges and energy storage solutions.
Advanced Power Electronics: The course covers advanced topics in power conversion circuits, DC-DC converters, AC-AC converters, resonant converters, and high-frequency switching techniques. Practical applications include electric vehicle charging systems, solar inverters, and industrial drive systems.
Wireless Communication Systems: This elective introduces students to wireless communication principles, modulation schemes, channel coding, multiple access techniques, and modern wireless standards such as 5G and beyond. Students gain hands-on experience with simulation tools like MATLAB and software-defined radios (SDRs).
Embedded System Design: The course covers microcontroller architecture, embedded operating systems, real-time programming, sensor integration, and IoT applications. Students develop projects using ARM Cortex-M processors, Arduino platforms, and Raspberry Pi devices.
Signal Processing Techniques: This course explores digital signal processing fundamentals including sampling theory, discrete-time systems, FFT algorithms, filter design, and spectral estimation techniques. Applications include audio processing, biomedical signal analysis, and image enhancement.
VLSI Design: Students learn about CMOS technology, logic synthesis, layout design, and verification methods in integrated circuit design. The course includes practical sessions on CAD tools like Cadence and Mentor Graphics, enabling students to design custom circuits for specific applications.
Smart Grid Technologies: This course addresses smart grid concepts, grid automation, demand response systems, energy storage integration, and cybersecurity aspects of modern power grids. Students study real-world case studies from utilities and regulatory bodies.
Energy Storage Systems: The course examines various types of energy storage technologies including batteries, supercapacitors, compressed air systems, and pumped hydro storage. Practical considerations include efficiency, lifespan, cost analysis, and environmental impact.
Advanced Control Systems: This elective covers nonlinear control theory, adaptive control, optimal control, and robust control methods. Students implement control strategies using MATLAB/Simulink and gain experience with industrial control systems.
Power System Protection: The course focuses on protective relaying principles, fault analysis, protection coordination, and system stability assessment. Students learn about modern protection schemes used in power plants, substations, and distribution networks.
Project-Based Learning Philosophy
The department emphasizes project-based learning as a cornerstone of the educational experience. Mini-projects are introduced in the second year to help students apply theoretical concepts learned in class to real-world problems. These projects are typically completed in small groups under faculty supervision and culminate in presentations and documentation.
Mini-projects often involve designing circuits, simulating systems, conducting experiments, and analyzing results using industry-standard tools like MATLAB, Simulink, Proteus, and Cadence. Students are encouraged to propose innovative ideas and receive mentorship from faculty members with relevant expertise.
The final-year thesis or capstone project represents the culmination of the undergraduate experience. Students select a topic aligned with their interests and career goals, working closely with a faculty advisor throughout the process. Projects can range from developing a prototype device to conducting a literature review and implementing a simulation study.
Students participate in a formal proposal presentation during their final year, followed by regular progress updates and a final demonstration of their work. The evaluation criteria include technical depth, innovation, clarity of communication, and contribution to the field. Faculty members from different specializations provide feedback and guidance to ensure that students produce high-quality, impactful work.