Comprehensive Course Structure
The Electrical Engineering curriculum at Agrawan Heritage University Agra spans eight semesters, integrating foundational science with advanced engineering principles and specialized tracks. The program follows a structured progression from core fundamentals to application-oriented specialization.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MAT101 | Calculus I | 3-0-0-3 | None |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | None |
| 1 | CHE101 | Chemistry for Engineers | 3-0-0-3 | None |
| 1 | ENG101 | Engineering Graphics | 2-0-0-2 | None |
| 1 | CS101 | Introduction to Programming | 2-0-0-2 | None |
| 1 | ECE101 | Basic Electrical Circuits | 3-0-0-3 | None |
| 2 | MAT201 | Calculus II | 3-0-0-3 | MAT101 |
| 2 | PHY201 | Electromagnetic Fields | 3-0-0-3 | PHY101 |
| 2 | ECE201 | Network Analysis | 3-0-0-3 | ECE101 |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 2 | ECE202 | Electromagnetic Waves | 3-0-0-3 | PHY201 |
| 3 | MAT301 | Probability and Statistics | 3-0-0-3 | MAT201 |
| 3 | ECE301 | Digital Electronics | 3-0-0-3 | ECE201 |
| 3 | ECE302 | Signals and Systems | 3-0-0-3 | MAT201 |
| 3 | ECE303 | Analog Electronics | 3-0-0-3 | ECE201 |
| 3 | ECE304 | Control Systems | 3-0-0-3 | ECE302 |
| 3 | ECE305 | Microprocessor and Microcontroller | 3-0-0-3 | ECE301 |
| 4 | MAT401 | Transforms and Partial Differential Equations | 3-0-0-3 | MAT201 |
| 4 | ECE401 | Digital Communication | 3-0-0-3 | ECE302 |
| 4 | ECE402 | Power Systems Analysis | 3-0-0-3 | ECE201 |
| 4 | ECE403 | Embedded Systems | 3-0-0-3 | ECE305 |
| 4 | ECE404 | VLSI Design | 3-0-0-3 | ECE301 |
| 4 | ECE405 | Antenna and Microwave Engineering | 3-0-0-3 | PHY201 |
| 5 | ECE501 | Power Electronics | 3-0-0-3 | ECE303 |
| 5 | ECE502 | Wireless Communication | 3-0-0-3 | ECE401 |
| 5 | ECE503 | Renewable Energy Systems | 3-0-0-3 | ECE202 |
| 5 | ECE504 | Robotics and Automation | 3-0-0-3 | ECE404 |
| 5 | ECE505 | Industrial Instrumentation | 3-0-0-3 | ECE302 |
| 6 | ECE601 | Power System Protection | 3-0-0-3 | ECE402 |
| 6 | ECE602 | Image Processing | 3-0-0-3 | ECE302 |
| 6 | ECE603 | Advanced Control Systems | 3-0-0-3 | ECE404 |
| 6 | ECE604 | Smart Grid Technologies | 3-0-0-3 | ECE503 |
| 6 | ECE605 | Neural Networks and Machine Learning | 3-0-0-3 | MAT301 |
| 7 | ECE701 | Capstone Project I | 2-0-0-2 | ECE504 |
| 7 | ECE702 | Advanced Embedded Systems | 3-0-0-3 | ECE403 |
| 7 | ECE703 | Power System Dynamics | 3-0-0-3 | ECE601 |
| 7 | ECE704 | IoT and Edge Computing | 3-0-0-3 | ECE403 |
| 7 | ECE705 | Research Methodology | 2-0-0-2 | MAT301 |
| 8 | ECE801 | Capstone Project II | 4-0-0-4 | ECE701 |
| 8 | ECE802 | Advanced VLSI Design | 3-0-0-3 | ECE404 |
| 8 | ECE803 | Industrial Internship | 2-0-0-2 | ECE701 |
| 8 | ECE804 | Project Management | 2-0-0-2 | ECE701 |
| 8 | ECE805 | Elective Courses (Choose 2) | - | - |
Advanced Departmental Electives
Students select from a range of advanced departmental electives that align with their interests and career goals. These courses provide in-depth knowledge and hands-on experience in specialized areas.
- Power Electronics and Drives: This course focuses on the design and analysis of power electronic converters, inverters, and motor drives. Students learn to model and simulate systems using MATLAB/Simulink and implement them in real-world applications.
- Wireless Sensor Networks: A comprehensive study of sensor network architecture, communication protocols, data fusion techniques, and wireless standards like Zigbee and Bluetooth Low Energy (BLE). Practical implementation includes building low-power sensing nodes and deploying networks in smart environments.
- Renewable Energy Integration: This course examines the integration of renewable energy sources into existing power grids. Topics include solar PV systems, wind energy conversion, energy storage technologies, and grid stability issues related to intermittent generation.
- Control Systems Design: Students develop skills in designing feedback control systems for complex processes. Emphasis is placed on system modeling, stability analysis, controller design techniques such as PID and state-space methods, and simulation tools like MATLAB/Simulink.
- Digital Signal Processing: An exploration of discrete-time signal processing techniques including Fourier transforms, filtering, spectral analysis, and applications in audio and image processing. Students gain proficiency in MATLAB-based programming and implementation of DSP algorithms.
- Embedded Systems Programming: A hands-on course focusing on programming microcontrollers using C/C++, interfacing sensors and actuators, real-time operating systems (RTOS), and developing embedded software for IoT applications.
- Neural Networks and Deep Learning: An introduction to artificial neural networks, backpropagation algorithms, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Students implement machine learning models using TensorFlow and PyTorch frameworks.
- Robotics and Automation: This course covers robot kinematics, dynamics, control systems, and sensor integration. Practical components include building robots and programming autonomous navigation systems using ROS (Robot Operating System).
- Smart Grid Technologies: Students explore smart grid architectures, demand response management, energy trading platforms, and cybersecurity in power systems. Case studies from global implementations enhance understanding of real-world challenges.
- Advanced VLSI Design: A detailed look at integrated circuit design flows, layout techniques, timing analysis, and physical design automation tools. Students work on designing custom chips for specific applications such as processors or sensors.
Project-Based Learning Philosophy
The Electrical Engineering program emphasizes project-based learning to bridge theory with practice. Mini-projects are introduced in the second year, allowing students to apply concepts learned in lectures through hands-on experimentation and design challenges.
Each student selects a project topic aligned with their interests or industry needs, working under the guidance of a faculty mentor. The projects span a wide range of domains, from designing an energy-efficient lighting system to developing a smart home automation platform.
The final-year thesis/capstone project is a significant undertaking that requires students to conduct independent research, collaborate with industry partners, and present their findings to a panel of experts. Projects are evaluated based on innovation, technical depth, presentation quality, and overall impact.