Comprehensive Course Structure
The Electrical Engineering program at Government Polytechnic Pipli is structured over eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory sessions. The curriculum has been designed to provide students with both theoretical knowledge and practical skills essential for a successful career in electrical engineering.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | EE101 | Engineering Mathematics I | 4-0-0-4 | - |
| 1 | EE102 | Physics for Engineers | 3-0-0-3 | - |
| 1 | EE103 | Basic Electrical Engineering | 3-0-0-3 | - |
| 1 | EE104 | Introduction to Programming | 2-0-0-2 | - |
| 1 | EE105 | Workshop Practice | 1-0-0-1 | - |
| 1 | EE106 | Communication Skills | 2-0-0-2 | - |
| 2 | EE201 | Engineering Mathematics II | 4-0-0-4 | EE101 |
| 2 | EE202 | Chemistry for Engineers | 3-0-0-3 | - |
| 2 | EE203 | Electrical Circuits and Networks | 3-0-0-3 | EE103 |
| 2 | EE204 | Digital Electronics | 3-0-0-3 | - |
| 2 | EE205 | Computer Programming Lab | 1-0-0-1 | EE104 |
| 2 | EE206 | Engineering Drawing | 2-0-0-2 | - |
| 3 | EE301 | Engineering Mathematics III | 4-0-0-4 | EE201 |
| 3 | EE302 | Electromagnetic Fields | 3-0-0-3 | EE202 |
| 3 | EE303 | Signals and Systems | 3-0-0-3 | EE201 |
| 3 | EE304 | Electrical Machines I | 3-0-0-3 | EE203 |
| 3 | EE305 | Control Systems | 3-0-0-3 | EE301 |
| 3 | EE306 | Electronics Lab I | 1-0-0-1 | EE204 |
| 4 | EE401 | Engineering Mathematics IV | 4-0-0-4 | EE301 |
| 4 | EE402 | Power Electronics | 3-0-0-3 | EE304 |
| 4 | EE403 | Electrical Machines II | 3-0-0-3 | EE304 |
| 4 | EE404 | Digital Communication | 3-0-0-3 | EE303 |
| 4 | EE405 | Microprocessors and Microcontrollers | 3-0-0-3 | EE204 |
| 4 | EE406 | Electronics Lab II | 1-0-0-1 | EE306 |
| 5 | EE501 | Power System Analysis | 3-0-0-3 | EE403 |
| 5 | EE502 | Industrial Automation | 3-0-0-3 | EE405 |
| 5 | EE503 | Renewable Energy Systems | 3-0-0-3 | EE402 |
| 5 | EE504 | Communication Engineering | 3-0-0-3 | EE404 |
| 5 | EE505 | Embedded Systems | 3-0-0-3 | EE405 |
| 5 | EE506 | Project Lab I | 1-0-0-1 | - |
| 6 | EE601 | Advanced Power System Protection | 3-0-0-3 | EE501 |
| 6 | EE602 | Control Engineering | 3-0-0-3 | EE305 |
| 6 | EE603 | Power System Operation and Control | 3-0-0-3 | EE501 |
| 6 | EE604 | Signal Processing | 3-0-0-3 | EE303 |
| 6 | EE605 | Artificial Intelligence in Electrical Engineering | 3-0-0-3 | - |
| 6 | EE606 | Project Lab II | 1-0-0-1 | EE506 |
| 7 | EE701 | Smart Grid Technologies | 3-0-0-3 | EE501 |
| 7 | EE702 | Advanced Control Systems | 3-0-0-3 | EE602 |
| 7 | EE703 | Power Quality and Harmonics | 3-0-0-3 | EE501 |
| 7 | EE704 | Energy Storage Systems | 3-0-0-3 | EE503 |
| 7 | EE705 | Electronics Design and Testing | 3-0-0-3 | EE402 |
| 7 | EE706 | Capstone Project | 1-0-0-1 | - |
| 8 | EE801 | Research Methodology | 3-0-0-3 | - |
| 8 | EE802 | Electrical Engineering Seminar | 2-0-0-2 | - |
| 8 | EE803 | Industry Internship | 1-0-0-1 | - |
| 8 | EE804 | Final Year Project | 4-0-0-4 | EE706 |
Detailed Course Descriptions
Advanced Power System Protection (EE701) is an elective course that delves into the intricacies of power system protection schemes, including relay settings, fault analysis, and protective device coordination. Students learn to design protection systems for large-scale power networks, ensuring reliability and safety in electrical infrastructure.
Artificial Intelligence in Electrical Engineering (EE605) introduces students to AI techniques applied in electrical systems, such as neural networks for power forecasting, machine learning algorithms for fault detection, and optimization of energy management systems. This course bridges traditional electrical engineering with modern computational methods.
Electronics Design and Testing (EE705) focuses on the design and validation of electronic circuits using industry-standard tools like CAD software, simulation environments, and testing equipment. Students learn to develop prototypes from concept to implementation, applying principles of circuit design, component selection, and performance evaluation.
Energy Storage Systems (EE704) explores various technologies for storing electrical energy, including batteries, supercapacitors, and compressed air systems. The course covers system design, efficiency optimization, and integration with renewable energy sources, preparing students for careers in sustainable energy solutions.
Power Quality and Harmonics (EE703) examines the impact of harmonics on power systems, voltage fluctuations, and other power quality issues. Students study methods for monitoring, analyzing, and mitigating power quality problems using advanced instrumentation and filtering techniques.
Advanced Control Systems (EE702) extends students' knowledge of control theory to complex multi-variable systems. Topics include state-space representation, robust control, adaptive control, and nonlinear system analysis. This course prepares students for advanced roles in automation and robotics.
Smart Grid Technologies (EE701) explores the transformation of traditional power grids into intelligent networks capable of managing distributed energy resources, integrating renewable sources, and optimizing power flow. Students learn about smart meters, grid communication protocols, and data analytics for grid management.
Electrical Engineering Seminar (EE802) provides students with opportunities to present research findings, engage in academic discussions, and develop presentation skills. This course encourages critical thinking and effective communication of technical concepts.
Research Methodology (EE801) teaches students the fundamentals of conducting engineering research, including literature review, hypothesis formulation, experimental design, data analysis, and report writing. This foundational course prepares students for advanced study and thesis work.
Electrical Machines II (EE403) builds upon the concepts introduced in Electrical Machines I, focusing on synchronous machines, transformers, and induction motors. Students explore advanced topics such as machine performance characteristics, efficiency optimization, and control methods.
Digital Communication (EE404) covers the principles of digital communication systems, including modulation techniques, channel coding, error correction, and data transmission protocols. The course emphasizes practical applications in modern communication networks.
Microprocessors and Microcontrollers (EE405) introduces students to the architecture and programming of microprocessor-based systems. Students learn to design embedded applications using assembly language and C programming, with emphasis on real-time system development.
Power System Analysis (EE501) provides a comprehensive understanding of power system behavior under various conditions. Topics include load flow analysis, short-circuit calculations, stability studies, and system planning. This course is essential for students aiming to work in power generation or distribution.
Industrial Automation (EE502) explores the use of automation technologies in manufacturing and industrial processes. Students study programmable logic controllers (PLCs), human-machine interfaces, sensor networks, and process control systems.
Renewable Energy Systems (EE503) examines solar, wind, hydroelectric, and other renewable energy technologies. The course covers system design, integration challenges, and economic viability of renewable energy projects.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is crucial for developing competent engineers. From the second year onwards, students are required to undertake mini-projects that reinforce classroom learning and foster innovation.
Mini-projects are typically completed over a semester and involve teams of 3-5 students working under faculty supervision. These projects allow students to apply theoretical knowledge to practical problems, develop teamwork skills, and gain exposure to real-world engineering challenges.
The final-year thesis or capstone project is a significant component of the program. Students select a topic related to their area of interest, conduct literature review, design experiments, collect data, and present findings in a formal report and oral presentation.
Faculty mentors are assigned based on the student's interests and the faculty member's expertise. Students are encouraged to choose projects that align with their career goals or emerging trends in electrical engineering. The evaluation criteria include technical depth, innovation, presentation quality, and overall project execution.