Curriculum
The Electrical Engineering program at Anjaneya University Raipur is structured over eight semesters to provide a comprehensive academic journey. The following table outlines all core courses, departmental electives, science electives, and lab components:
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | EG101 | Engineering Graphics and Design | 2-1-0-3 | - |
| 1 | CE101 | Introduction to Computing | 2-1-0-3 | - |
| 1 | ME101 | Basic Mechanics and Thermodynamics | 3-1-0-4 | - |
| 2 | ENG102 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | PHY102 | Modern Physics and Applications | 3-1-0-4 | PHY101 |
| 2 | CHE102 | Organic Chemistry and Materials | 3-1-0-4 | CHE101 |
| 2 | EG102 | Electrical Engineering Fundamentals | 3-1-0-4 | - |
| 2 | CE102 | Programming for Engineers | 2-1-0-3 | CE101 |
| 3 | ENG201 | Electromagnetic Fields and Waves | 3-1-0-4 | ENG102 |
| 3 | PHY201 | Quantum Physics and Applications | 3-1-0-4 | PHY102 |
| 3 | CHE201 | Physical Chemistry and Electrochemistry | 3-1-0-4 | CHE102 |
| 3 | EG201 | Circuit Theory and Analysis | 3-1-0-4 | EG102 |
| 3 | CE201 | Data Structures and Algorithms | 2-1-0-3 | CE102 |
| 4 | ENG202 | Signals and Systems | 3-1-0-4 | ENG201 |
| 4 | PHY202 | Optical Physics and Lasers | 3-1-0-4 | PHY201 |
| 4 | CHE202 | Chemical Process Engineering | 3-1-0-4 | CHE201 |
| 4 | EG202 | Electronics Devices and Circuits | 3-1-0-4 | EG201 |
| 4 | CE202 | Object-Oriented Programming with C++ | 2-1-0-3 | CE201 |
| 5 | ENG301 | Power Systems Analysis | 3-1-0-4 | EG202 |
| 5 | PHY301 | Nuclear Physics and Applications | 3-1-0-4 | PHY202 |
| 5 | CHE301 | Biotechnology and Biochemistry | 3-1-0-4 | CHE202 |
| 5 | EG301 | Control Systems Engineering | 3-1-0-4 | EG202 |
| 5 | CE301 | Database Management Systems | 2-1-0-3 | CE202 |
| 6 | ENG302 | Communication Systems | 3-1-0-4 | ENG202 |
| 6 | PHY302 | Condensed Matter Physics | 3-1-0-4 | PHY301 |
| 6 | CHE302 | Industrial Chemistry and Materials | 3-1-0-4 | CHE301 |
| 6 | EG302 | Microprocessors and Embedded Systems | 3-1-0-4 | EG301 |
| 6 | CE302 | Computer Networks | 2-1-0-3 | CE301 |
| 7 | ENG401 | Power Electronics and Drives | 3-1-0-4 | ENG301 |
| 7 | PHY401 | Quantum Computing Concepts | 3-1-0-4 | PHY302 |
| 7 | CHE401 | Environmental Chemistry and Sustainability | 3-1-0-4 | CHE302 |
| 7 | EG401 | Digital Signal Processing | 3-1-0-4 | ENG202 |
| 7 | CE401 | Software Engineering | 2-1-0-3 | CE302 |
| 8 | ENG402 | Advanced Topics in Electrical Engineering | 3-1-0-4 | EG401 |
| 8 | PHY402 | Biophysics and Medical Imaging | 3-1-0-4 | PHY401 |
| 8 | CHE402 | Green Chemistry and Sustainable Processes | 3-1-0-4 | CHE401 |
| 8 | EG402 | Capstone Project | 2-2-0-4 | EG401 |
| 8 | CE402 | Project Management and Entrepreneurship | 2-1-0-3 | CE401 |
Beyond the core curriculum, students can choose from a range of advanced departmental electives that deepen their expertise in specialized areas:
- Advanced Power Electronics: This course covers high-frequency converters, resonant converters, and switching power supplies. Students learn to design and analyze complex power electronic systems using simulation tools like MATLAB/Simulink.
- Renewable Energy Systems: Focused on solar, wind, hydroelectric, and geothermal energy sources, this course explores grid integration, energy storage technologies, and policy frameworks governing renewable energy deployment.
- Machine Learning for Electrical Applications: This elective introduces students to neural networks, deep learning algorithms, and their applications in power systems optimization, signal processing, and control engineering.
- Smart Grid Technologies: Students study advanced metering infrastructure (AMI), demand response programs, and distributed energy resources (DERs). The course includes hands-on simulations of grid stability and cybersecurity.
- Embedded System Design: This course teaches students to design real-time systems using microcontrollers, RTOS, and embedded software development. Practical components include building prototypes for IoT devices and industrial automation.
- Digital Image Processing: Covering image enhancement, restoration, segmentation, and feature extraction techniques, this course prepares students for careers in computer vision, medical imaging, and robotics.
- Control Systems with MATLAB: This elective provides practical experience in designing and simulating control systems using MATLAB. Topics include state-space methods, PID controllers, and system identification.
- Wireless Communication Systems: Students learn about modulation techniques, channel coding, multiple access schemes, and 5G/6G technologies. The course includes lab work involving RF signal analysis and simulation of wireless networks.
- Optical Fiber Communications: This course explores the principles of optical fiber transmission, wavelength division multiplexing (WDM), and photonic devices. Students conduct experiments on fiber optic link design and testing.
- Electromagnetic Compatibility and Interference: Focused on EMC standards and techniques for mitigating electromagnetic interference in electronic systems, this course includes both theoretical analysis and practical lab sessions.
The department's philosophy on project-based learning emphasizes hands-on experience from the very beginning of a student's academic journey. Mini-projects are introduced in the second year, where students work in teams to solve real-world engineering problems using available resources and tools. These projects are evaluated based on creativity, technical execution, documentation, and presentation skills.
The final-year capstone project is a significant milestone that allows students to apply their accumulated knowledge to a comprehensive engineering challenge. Students select projects from a list of industry-sponsored problems or propose their own ideas after consulting with faculty mentors. The process includes initial concept development, literature review, design phase, prototyping, testing, and documentation.
Faculty mentors are assigned based on project relevance and the mentor’s expertise in the selected domain. Each student is expected to maintain regular communication with their mentor throughout the project duration, submitting progress reports and undergoing periodic evaluations. The final submission includes a detailed report, a working prototype, and a presentation to a panel of experts.