Electrical Engineering Curriculum Overview
The Electrical Engineering curriculum at Government Polytechnic Tanakpur is structured to provide a comprehensive foundation in both theoretical and practical aspects of the discipline. The program spans four years, divided into eight semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions.
| SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PRE-REQUISITES |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineering | 3-1-0-4 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | MEC101 | Basic Mechanical Engineering | 3-1-0-4 | - |
| 1 | CSE101 | Introduction to Computing | 2-1-0-3 | - |
| 1 | ELN101 | Basic Electrical Engineering | 3-1-0-4 | - |
| 2 | ENG102 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | PHY102 | Modern Physics | 3-1-0-4 | PHY101 |
| 2 | CSE102 | Data Structures and Algorithms | 3-1-0-4 | CSE101 |
| 2 | ELN102 | Electrical Circuit Analysis | 3-1-0-4 | ELN101 |
| 2 | ELN103 | Electromagnetic Fields | 3-1-0-4 | PHY101, ENG101 |
| 3 | ENG201 | Engineering Mathematics III | 3-1-0-4 | ENG102 |
| 3 | ELN201 | Digital Electronics | 3-1-0-4 | ELN102 |
| 3 | ELN202 | Electrical Machines I | 3-1-0-4 | ELN102, ELN103 |
| 3 | ELN203 | Signals and Systems | 3-1-0-4 | ENG102, ELN102 |
| 3 | ELN204 | Power Electronics | 3-1-0-4 | ELN102, ELN201 |
| 4 | ENG202 | Engineering Mathematics IV | 3-1-0-4 | ENG201 |
| 4 | ELN301 | Control Systems | 3-1-0-4 | ELN203, ENG201 |
| 4 | ELN302 | Electrical Machines II | 3-1-0-4 | ELN202 |
| 4 | ELN303 | Communication Systems | 3-1-0-4 | ELN203 |
| 4 | ELN304 | Power System Analysis | 3-1-0-4 | ELN201, ELN202 |
| 5 | ELN401 | Microprocessors and Microcontrollers | 3-1-0-4 | ELN201, CSE102 |
| 5 | ELN402 | Renewable Energy Systems | 3-1-0-4 | ELN304 |
| 5 | ELN403 | Advanced Power Electronics | 3-1-0-4 | ELN204 |
| 5 | ELN404 | Electrical Network Theory | 3-1-0-4 | ELN102, ELN203 |
| 6 | ELN501 | Industrial Automation | 3-1-0-4 | ELN301 |
| 6 | ELN502 | Smart Grid Technologies | 3-1-0-4 | ELN304 |
| 6 | ELN503 | Digital Signal Processing | 3-1-0-4 | ELN203 |
| 6 | ELN504 | Embedded System Design | 3-1-0-4 | ELN401, CSE102 |
| 7 | ELN601 | Research Methodology | 2-1-0-3 | - |
| 7 | ELN602 | Capstone Project | 4-0-0-4 | All previous semesters |
| 7 | ELN603 | Advanced Control Systems | 3-1-0-4 | ELN301 |
| 7 | ELN604 | Artificial Intelligence in Electrical Engineering | 3-1-0-4 | ELN203, ELN503 |
| 8 | ELN701 | Project Work | 6-0-0-6 | ELN602 |
| 8 | ELN702 | Internship | 4-0-0-4 | ELN602 |
| 8 | ELN703 | Professional Ethics and Sustainability | 2-1-0-3 | - |
| 8 | ELN704 | Elective Course - AI/ML Applications | 3-1-0-4 | ELN503, ELN604 |
The department emphasizes project-based learning as a cornerstone of the educational experience. Mini-projects are introduced from the third semester, allowing students to apply theoretical knowledge in practical settings. These projects often involve real-world problems and are supervised by faculty members with industry experience.
Advanced departmental elective courses include:
- Digital Signal Processing: This course explores advanced signal processing techniques using MATLAB and DSP chips. Students learn to implement filters, perform spectral analysis, and design communication systems.
- Power System Protection: Covers relaying principles, fault analysis, and protection schemes for transmission lines and transformers.
- Microcontroller Applications: Focuses on designing embedded systems using ARM Cortex-M series microcontrollers and interfacing them with sensors and actuators.
- Electromagnetic Compatibility (EMC): Examines electromagnetic interference issues in electronic systems and methods to mitigate them.
- Power Quality Analysis: Addresses harmonics, voltage fluctuations, and other quality parameters affecting power systems.
- Smart Grid Integration: Analyzes the integration of renewable energy sources into traditional grids and control strategies for stability.
- Renewable Energy Conversion: Studies the principles of solar, wind, and hydroelectric energy conversion with focus on efficiency optimization.
- Industrial Automation Systems: Explores PLC programming, SCADA systems, and robot control in industrial environments.
- Embedded Software Design: Teaches software architecture for embedded systems including real-time operating systems (RTOS) and debugging techniques.
- AI in Electrical Engineering: Integrates machine learning algorithms with electrical systems to improve performance and automation.
The final-year thesis/capstone project is a significant component of the program. Students select projects based on their interest areas or industry needs, guided by faculty mentors. Projects are evaluated through presentations, documentation, and demonstration at end-of-semester symposiums. The evaluation criteria include innovation, technical depth, feasibility, and impact.