Comprehensive Course Structure
The Electrical Engineering program at University Of Petroleum And Energy Studies Dehradun is structured over 8 semesters, with a carefully designed curriculum that ensures a progressive and comprehensive learning experience. The program includes core courses, departmental electives, science electives, and laboratory sessions that are aligned with industry requirements and academic excellence.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ENG104 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | ENG105 | Introduction to Programming | 2-0-2-3 | None |
| 1 | ENG106 | Engineering Graphics | 2-0-2-3 | None |
| 1 | ENG107 | Workshop Practice | 0-0-2-1 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuit Analysis | 3-1-0-4 | ENG104 |
| 2 | ENG203 | Electromagnetic Fields | 3-1-0-4 | ENG102 |
| 2 | ENG204 | Signals and Systems | 3-1-0-4 | ENG201 |
| 2 | ENG205 | Electronic Devices and Circuits | 3-1-0-4 | ENG104 |
| 2 | ENG206 | Computer Programming | 2-0-2-3 | ENG105 |
| 2 | ENG207 | Basic Electronics Lab | 0-0-2-1 | ENG205 |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Electrical Machines | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Power System Analysis | 3-1-0-4 | ENG202 |
| 3 | ENG304 | Control Systems | 3-1-0-4 | ENG204 |
| 3 | ENG305 | Digital Electronics | 3-1-0-4 | ENG205 |
| 3 | ENG306 | Microprocessor and Microcontroller | 3-1-0-4 | ENG205 |
| 3 | ENG307 | Electrical Machines Lab | 0-0-2-1 | ENG302 |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Power Electronics | 3-1-0-4 | ENG305 |
| 4 | ENG403 | Power System Protection | 3-1-0-4 | ENG303 |
| 4 | ENG404 | Communication Systems | 3-1-0-4 | ENG204 |
| 4 | ENG405 | Embedded Systems | 3-1-0-4 | ENG306 |
| 4 | ENG406 | Signal Processing | 3-1-0-4 | ENG204 |
| 4 | ENG407 | Power Electronics Lab | 0-0-2-1 | ENG402 |
| 5 | ENG501 | Advanced Power Systems | 3-1-0-4 | ENG303 |
| 5 | ENG502 | Renewable Energy Systems | 3-1-0-4 | ENG303 |
| 5 | ENG503 | Industrial Automation | 3-1-0-4 | ENG404 |
| 5 | ENG504 | Advanced Control Systems | 3-1-0-4 | ENG304 |
| 5 | ENG505 | Machine Learning for Electrical Systems | 3-1-0-4 | ENG406 |
| 5 | ENG506 | Energy Storage Technologies | 3-1-0-4 | ENG502 |
| 5 | ENG507 | Renewable Energy Lab | 0-0-2-1 | ENG502 |
| 6 | ENG601 | Smart Grid Technologies | 3-1-0-4 | ENG501 |
| 6 | ENG602 | Advanced Embedded Systems | 3-1-0-4 | ENG405 |
| 6 | ENG603 | Electromagnetic Compatibility | 3-1-0-4 | ENG303 |
| 6 | ENG604 | RF and Microwave Engineering | 3-1-0-4 | ENG303 |
| 6 | ENG605 | Advanced Signal Processing | 3-1-0-4 | ENG406 |
| 6 | ENG606 | Industrial Project Management | 3-1-0-4 | None |
| 6 | ENG607 | Smart Grid Lab | 0-0-2-1 | ENG601 |
| 7 | ENG701 | Research Methodology | 2-0-0-2 | None |
| 7 | ENG702 | Advanced VLSI Design | 3-1-0-4 | ENG405 |
| 7 | ENG703 | Special Topics in Electrical Engineering | 3-1-0-4 | None |
| 7 | ENG704 | Mini Project | 0-0-4-2 | None |
| 7 | ENG705 | Capstone Project | 0-0-6-3 | ENG704 |
| 8 | ENG801 | Final Year Thesis | 0-0-6-4 | ENG705 |
| 8 | ENG802 | Internship | 0-0-0-4 | None |
Advanced Departmental Elective Courses
Advanced departmental electives are designed to provide students with in-depth knowledge in specialized areas of electrical engineering. These courses are offered in the later semesters and are tailored to meet the growing demands of the industry and research.
Renewable Energy Systems (ENG502): This course explores the design and implementation of renewable energy technologies, including solar, wind, and hydroelectric systems. Students study energy conversion principles, system integration, and grid interaction. The course emphasizes practical applications and includes laboratory sessions on solar panel testing and wind turbine design.
Power Electronics and Drives (ENG402): This course covers the principles and applications of power electronics, including converters, inverters, and motor drives. Students learn to design and analyze power electronic circuits and understand their role in energy conversion and control systems. The course includes hands-on laboratory work with power electronic devices and simulation tools.
Embedded Systems (ENG405): This course introduces students to the design and development of embedded systems using microcontrollers and real-time operating systems. Topics include hardware-software co-design, embedded programming, and system integration. Students work on projects involving sensor networks, robotics, and IoT devices.
Signal Processing (ENG406): This course covers the theory and application of digital signal processing, including filtering, spectral analysis, and system identification. Students learn to implement signal processing algorithms using MATLAB and other tools. The course includes laboratory sessions on audio and image processing.
Communication Systems (ENG404): This course explores the principles of communication systems, including modulation, demodulation, and error correction. Students study analog and digital communication techniques, and learn to design and analyze communication systems. The course includes laboratory work on modulation techniques and communication protocols.
Control Systems (ENG304): This course covers classical and modern control theory, including system modeling, stability analysis, and controller design. Students learn to design and analyze control systems for various applications. The course includes laboratory sessions on control system simulation and implementation.
Advanced Power Systems (ENG501): This course delves into the advanced topics of power system analysis, including stability, protection, and optimization. Students study power system dynamics and learn to model and simulate complex power systems. The course includes case studies on real power systems and power system planning.
Machine Learning for Electrical Systems (ENG505): This course explores the application of machine learning techniques to electrical engineering problems. Students study supervised and unsupervised learning methods, and learn to apply these techniques to power system analysis, signal processing, and control systems. The course includes practical projects involving data analysis and machine learning implementation.
Smart Grid Technologies (ENG601): This course focuses on the design and operation of smart grids, including grid integration of renewable energy, demand response, and energy storage systems. Students learn to model and simulate smart grid systems and understand their role in modern power systems. The course includes laboratory sessions on smart grid technologies and grid management.
Advanced VLSI Design (ENG702): This course covers the design and implementation of very large-scale integrated circuits, including logic synthesis, layout design, and testing. Students learn to design and simulate VLSI circuits using industry-standard tools. The course includes laboratory sessions on VLSI design and fabrication.
Electromagnetic Compatibility (ENG603): This course explores the principles of electromagnetic compatibility and interference. Students study electromagnetic interference sources, shielding, and compliance testing. The course includes laboratory sessions on EMI measurement and mitigation techniques.
RF and Microwave Engineering (ENG604): This course covers the design and analysis of radio frequency and microwave circuits and systems. Students study transmission lines, waveguides, and microwave components. The course includes laboratory work on RF circuit design and measurement.
Industrial Project Management (ENG606): This course introduces students to project management principles and practices in industrial engineering. Students learn to plan, execute, and control engineering projects. The course includes case studies on real-world projects and project management tools.
Advanced Signal Processing (ENG605): This course covers advanced topics in signal processing, including wavelet transforms, adaptive filtering, and multirate systems. Students learn to implement advanced signal processing techniques and apply them to real-world problems. The course includes laboratory sessions on advanced signal processing algorithms.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is centered on providing students with hands-on experience and practical skills that complement theoretical knowledge. Projects are designed to simulate real-world engineering challenges and encourage innovation, teamwork, and problem-solving.
Mini-projects are introduced in the third and fourth semesters, allowing students to apply concepts learned in core courses to practical problems. These projects are typically completed in teams and are supervised by faculty members. The evaluation criteria include project design, implementation, documentation, and presentation.
The final-year thesis/capstone project is a comprehensive endeavor that integrates knowledge from all areas of the program. Students work on a significant research or design project under the guidance of a faculty mentor. The project involves literature review, problem formulation, design, implementation, testing, and documentation. The final project is presented to a panel of faculty members and industry experts.
Students select their projects based on their interests and career goals, with guidance from faculty mentors. The department maintains a database of project ideas and industry collaborations to help students identify suitable projects. The selection process ensures that students work on projects that are relevant, challenging, and aligned with their academic and professional development.