Curriculum Overview
The Bachelor of Electrical Engineering program at Mittal Institute of Technology is meticulously designed to provide students with a solid foundation in core electrical engineering principles followed by specialized training in advanced areas relevant to today's technological landscape.
This curriculum is divided into eight semesters, each building upon the previous one to ensure progressive learning and skill development. Each semester includes core courses, departmental electives, science electives, and laboratory sessions designed to reinforce theoretical knowledge through practical experience.
Semester-wise Course Structure
| Year | Semester | Course Code | Course Title | Credits (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|---|
| 1 | I | EE101 | Engineering Mathematics I | 3-1-0-4 | - |
| EE102 | Basic Electrical Engineering | 3-1-0-4 | - | ||
| 1 | II | EE103 | Engineering Mathematics II | 3-1-0-4 | EE101 |
| EE104 | Circuit Analysis | 3-1-0-4 | EE102 | ||
| EE105 | Electronics Devices & Circuits | 3-1-0-4 | EE102 | ||
| 2 | III | EE201 | Signals and Systems | 3-1-0-4 | EE103 |
| EE202 | Electromagnetic Fields | 3-1-0-4 | EE103 | ||
| 2 | IV | EE203 | Digital Logic Design | 3-1-0-4 | EE104 |
| EE204 | Computer Programming | 3-1-0-4 | EE102 | ||
| 3 | V | EE301 | Power Systems Analysis | 3-1-0-4 | EE201, EE202 |
| EE302 | Control Systems | 3-1-0-4 | EE201 | ||
| 3 | VI | EE303 | Communication Engineering | 3-1-0-4 | EE201 |
| EE304 | Embedded Systems Design | 3-1-0-4 | EE204 | ||
| 4 | VII | EE401 | Renewable Energy Systems | 3-1-0-4 | EE301 |
| EE402 | Advanced Topics in AI & ML | 3-1-0-4 | EE204 | ||
| 4 | VIII | EE403 | Final Year Capstone Project | 3-0-6-9 | All previous semesters |
| EE404 | Project Management & Ethics | 3-1-0-4 | - |
Advanced Departmental Electives
The program offers a rich selection of advanced departmental electives designed to deepen students' expertise in specific domains:
- Power Electronics and Drives: This course covers power semiconductor devices, converters, motor drives, and applications in industrial automation. Students learn how to design efficient power conversion systems for various loads including renewable energy systems.
- Instrumentation and Control: Focuses on sensors, transducers, measurement systems, and control strategies used in modern industrial processes. It includes both analog and digital control system design techniques.
- Advanced Microprocessor & Microcontroller Applications: This elective explores advanced architectures of microprocessors and microcontrollers, focusing on real-time operating systems, embedded software development, and application-specific designs.
- Power System Protection Engineering: Studies protective relaying schemes, fault analysis, and system stability. Students gain insight into designing protection systems for large-scale power networks.
- Wireless Communication Systems: Covers propagation models, modulation techniques, multiple access methods, and wireless network protocols including cellular networks, Wi-Fi, and Bluetooth technologies.
- Optical Fiber Communications: Introduces the principles of optical fiber transmission, components like lasers and photodetectors, and applications in telecommunications and data networking.
- Digital Image Processing: Examines techniques for image enhancement, compression, restoration, feature extraction, and pattern recognition using MATLAB and Python tools.
- Electromagnetic Compatibility (EMC): Teaches principles of electromagnetic interference and immunity. Students learn to analyze and mitigate EMC issues in electronic devices and systems.
- Renewable Energy Integration: Explores integration challenges of solar and wind power into existing grids, including energy storage solutions and smart grid technologies.
- Advanced Control Systems: Delves into nonlinear control theory, adaptive control, and optimal control methods. Students apply these concepts to complex engineering systems such as aircraft or robotic manipulators.
Project-Based Learning Philosophy
Mittal Institute of Technology adheres to a robust project-based learning framework that emphasizes active engagement, critical thinking, and real-world problem-solving skills. The curriculum integrates mandatory mini-projects starting from the second year, which serve as stepping stones toward the final-year capstone project.
Mini Projects
Mini projects are typically completed in groups of 3–5 students and last for two to three months. These projects focus on applying fundamental concepts to practical scenarios such as building a simple motor controller, designing a wireless sensor network, or simulating power system behavior using MATLAB.
Final-Year Capstone Project
The capstone project is a comprehensive endeavor undertaken by each student in their final year. It involves identifying a real-world problem, proposing a solution, developing a prototype, conducting experiments, and presenting findings to faculty and industry experts. Projects often align with ongoing research initiatives at the Institute or are sponsored by external organizations.
Project Selection Process
Students begin selecting their capstone projects during the seventh semester based on their interests and available faculty mentors. The selection process involves submitting a proposal outlining the problem statement, proposed methodology, expected outcomes, and timeline. Faculty advisors guide students throughout the duration of the project.