Curriculum
The Electrical Engineering curriculum at Roorkee Institute Of Technology is meticulously designed to provide students with a robust foundation in both fundamental and advanced concepts. The program spans eight semesters, with each semester structured to build upon the previous one while introducing specialized knowledge areas.
Course Structure Overview
Each semester includes a mix of core courses, departmental electives, science electives, and laboratory sessions. The typical credit structure for each course is L-T-P-C, where L represents lecture hours, T represents tutorial hours, P represents practical hours, and C represents credit points.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | MATH101 | Calculus I | 3-1-0-4 | - |
| 1 | MATH102 | Linear Algebra and Differential Equations | 3-1-0-4 | - |
| 1 | PHYS101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ENGR101 | Introduction to Engineering | 2-0-0-2 | - |
| 1 | CSE101 | Programming Fundamentals | 2-0-2-3 | - |
| 2 | MATH201 | Calculus II | 3-1-0-4 | MATH101 |
| 2 | MATH202 | Probability and Statistics | 3-1-0-4 | MATH101 |
| 2 | PHYS201 | Modern Physics | 3-1-0-4 | PHYS101 |
| 2 | ENGR201 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | CSE201 | Data Structures and Algorithms | 3-0-2-4 | CSE101 |
| 3 | ELEC301 | Basic Electrical Circuits | 3-1-0-4 | MATH101, PHYS101 |
| 3 | ELEC302 | Analog Electronics I | 3-1-0-4 | ELEC301 |
| 3 | MATH301 | Transform Methods | 3-1-0-4 | MATH201 |
| 3 | ENGR301 | Material Science | 3-1-0-4 | - |
| 3 | ELEC303 | Signals and Systems | 3-1-0-4 | MATH201, ELEC301 |
| 4 | ELEC401 | Digital Electronics I | 3-1-0-4 | ELEC302 |
| 4 | ELEC402 | Electromagnetic Fields | 3-1-0-4 | MATH201, PHYS201 |
| 4 | ELEC403 | Network Analysis | 3-1-0-4 | ELEC301 |
| 4 | MATH401 | Complex Variables and Partial Differential Equations | 3-1-0-4 | MATH201 |
| 4 | ENGR401 | Thermodynamics | 3-1-0-4 | - |
| 5 | ELEC501 | Power Systems I | 3-1-0-4 | ELEC301, ELEC403 |
| 5 | ELEC502 | Control Systems I | 3-1-0-4 | ELEC303, MATH301 |
| 5 | ELEC503 | Analog Electronics II | 3-1-0-4 | ELEC302 |
| 5 | ELEC504 | Digital Electronics II | 3-1-0-4 | ELEC401 |
| 5 | ELEC505 | Electrical Machines I | 3-1-0-4 | ELEC301 |
| 6 | ELEC601 | Power Systems II | 3-1-0-4 | ELEC501 |
| 6 | ELEC602 | Control Systems II | 3-1-0-4 | ELEC502 |
| 6 | ELEC603 | Communication Systems | 3-1-0-4 | ELEC303 |
| 6 | ELEC604 | Microprocessors and Microcontrollers | 3-1-0-4 | ELEC401, CSE201 |
| 6 | ELEC605 | Electrical Machines II | 3-1-0-4 | ELEC505 |
| 7 | ELEC701 | Power Electronics and Drives | 3-1-0-4 | ELEC601, ELEC503 |
| 7 | ELEC702 | Renewable Energy Systems | 3-1-0-4 | ELEC501 |
| 7 | ELEC703 | Advanced Control Systems | 3-1-0-4 | ELEC602 |
| 7 | ELEC704 | Embedded Systems | 3-1-0-4 | ELEC604, CSE201 |
| 7 | ELEC705 | Electromagnetic Compatibility | 3-1-0-4 | ELEC402 |
| 8 | ELEC801 | Project Management and Ethics | 2-0-0-2 | - |
| 8 | ELEC802 | Final Year Project | 0-0-6-6 | All previous courses |
| 8 | ELEC803 | Industrial Training | 0-0-0-2 | - |
| 8 | ELEC804 | Capstone Design Project | 0-0-6-6 | All previous courses |
| 8 | ELEC805 | Special Topics in Electrical Engineering | 3-1-0-4 | - |
Advanced Departmental Electives
The department offers a wide range of advanced departmental electives to cater to diverse interests and career paths:
- Power Electronics and Drives: This course delves into the design and application of power electronic converters, motor drives, and energy conversion systems. Students learn to analyze and design circuits for industrial applications such as electric vehicle propulsion, renewable energy integration, and power quality improvement.
- Renewable Energy Systems: This course explores solar, wind, hydroelectric, and biomass energy technologies. It covers energy storage systems, grid integration challenges, and the economic aspects of renewable energy deployment. Students gain hands-on experience with real-world systems through laboratory experiments and field visits.
- Advanced Control Systems: Building on fundamental control theory, this course introduces modern control techniques such as state-space methods, optimal control, and robust control. It emphasizes practical applications in robotics, aerospace systems, and process control.
- Signal Processing for Engineers: This course covers digital signal processing fundamentals, including sampling theorem, Fourier transforms, filtering techniques, and spectral analysis. Students apply these concepts to audio, image, and biomedical signal processing using MATLAB and Python.
- Embedded Systems Design: Focusing on microcontroller-based systems, this course teaches students how to design and implement embedded software and hardware solutions. Topics include real-time operating systems, device drivers, communication protocols, and IoT applications.
- Power System Protection: This course provides in-depth knowledge of protection schemes for power systems, including relays, circuit breakers, and fault analysis techniques. Students learn to design and evaluate protection systems using industry-standard tools.
- Wireless Communication Systems: Covering the principles of wireless communication, this course discusses modulation techniques, multiple access methods, error correction codes, and modern wireless standards such as 5G. Practical sessions involve simulation and testing of wireless networks.
- Machine Learning for Electrical Engineers: This interdisciplinary course bridges electrical engineering with artificial intelligence and machine learning. Students learn to apply ML algorithms to solve problems in power systems, signal processing, and control systems.
- Smart Grid Technologies: This course explores the integration of renewable energy sources, smart meters, demand response systems, and grid automation technologies. It addresses challenges such as grid stability, cybersecurity, and sustainable energy management.
- Electromagnetic Compatibility (EMC): This course focuses on electromagnetic interference, immunity, and compliance testing. Students learn to design systems that meet EMC standards and perform EMC testing using industry-standard equipment.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is centered around the principle that real-world problem-solving skills are best developed through hands-on experience. The curriculum incorporates mandatory mini-projects in the second and third years, followed by a comprehensive final-year thesis or capstone project.
Mini-projects are designed to reinforce classroom learning while encouraging creativity and innovation. Students work in teams to tackle open-ended problems that simulate real-world engineering challenges. These projects often involve collaboration with industry partners, providing students with exposure to actual market demands and professional environments.
The final-year capstone project is a significant undertaking that requires students to demonstrate mastery of their chosen specialization area. Students select projects based on their interests and career goals, working closely with faculty mentors who guide them through the research and implementation phases. The project scope can range from developing a prototype for a new product to conducting an in-depth analysis of an existing system.
Evaluation criteria for these projects are comprehensive, considering technical merit, innovation, presentation quality, and team collaboration. Students must submit detailed reports, present their work to faculty panels, and defend their findings. This process not only enhances technical skills but also develops communication and leadership abilities essential for professional success.