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Fees
₹1,50,000
Placement
93.5%
Avg Package
₹4,50,000
Highest Package
₹9,50,000
Fees
₹1,50,000
Placement
93.5%
Avg Package
₹4,50,000
Highest Package
₹9,50,000
Seats
120
Students
300
Seats
120
Students
300
The Electrical Engineering program at Government Polytechnic Bans is structured over eight semesters, with a balanced mix of core courses, departmental electives, science electives, and laboratory components. The curriculum is designed to build upon foundational knowledge while encouraging innovation and specialization.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| I | BEE101 | Basic Electrical Engineering | 3-1-0-4 | - |
| I | CSE101 | Introduction to Programming | 2-0-2-3 | - |
| I | PHY101 | Physics for Electrical Engineering | 3-1-0-4 | - |
| I | CHM101 | Chemistry for Engineers | 3-1-0-4 | - |
| I | EG101 | Engineering Graphics | 2-0-2-3 | - |
| II | ENG102 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| II | DIG101 | Digital Electronics | 3-1-0-4 | BEE101 |
| II | CIR101 | Circuit Analysis | 3-1-0-4 | BEE101 |
| II | PHY102 | Physics Lab | 0-0-2-1 | - |
| II | CHM102 | Chemistry Lab | 0-0-2-1 | - |
| III | ELE101 | Electrical Machines I | 3-1-0-4 | CIR101 |
| III | PSY101 | Power Systems I | 3-1-0-4 | CIR101 |
| III | CON101 | Control Systems I | 3-1-0-4 | ENG102 |
| III | SIG101 | Signal Processing I | 3-1-0-4 | ENG102 |
| III | LAB101 | Digital Electronics Lab | 0-0-3-1 | DIG101 |
| IV | ELE102 | Electrical Machines II | 3-1-0-4 | ELE101 |
| IV | PSY102 | Power Systems II | 3-1-0-4 | PSY101 |
| IV | CON102 | Control Systems II | 3-1-0-4 | CON101 |
| IV | SIG102 | Signal Processing II | 3-1-0-4 | SIG101 |
| IV | LAB102 | Electrical Machines Lab | 0-0-3-1 | ELE101 |
| V | DEP101 | Renewable Energy Systems | 3-1-0-4 | PSY102 |
| V | DEP102 | Microprocessor Applications | 3-1-0-4 | DIG101 |
| V | DEP103 | Power Electronics | 3-1-0-4 | ELE102 |
| V | LAB103 | Power Electronics Lab | 0-0-3-1 | DEP103 |
| V | SCI101 | Science Elective I | 2-0-0-2 | - |
| VI | DEP104 | Advanced Control Systems | 3-1-0-4 | CON102 |
| VI | DEP105 | VLSI Design | 3-1-0-4 | DIG101 |
| VI | DEP106 | Smart Grid Technologies | 3-1-0-4 | PSY102 |
| VI | LAB104 | VLSI Lab | 0-0-3-1 | DEP105 |
| VI | SCI102 | Science Elective II | 2-0-0-2 | - |
| VII | DEP107 | AI in Electrical Systems | 3-1-0-4 | SIG102 |
| VII | DEP108 | Energy Storage Systems | 3-1-0-4 | PSY102 |
| VII | DEP109 | Electric Vehicle Technologies | 3-1-0-4 | ELE102 |
| VII | LAB105 | Capstone Project Lab | 0-0-6-2 | - |
| VIII | DEP110 | Final Year Thesis/Capstone Project | 0-0-6-6 | - |
| VIII | SCI103 | Science Elective III | 2-0-0-2 | - |
Renewable Energy Systems: This course explores the integration of solar, wind, hydroelectric, and other renewable energy sources into the power grid. Students learn about energy conversion technologies, grid stability issues, and policy frameworks supporting renewable energy adoption.
Microprocessor Applications: Designed to give students hands-on experience with microcontrollers and embedded systems, this course covers programming in C/C++, interfacing peripherals, and designing real-time control systems.
Power Electronics: Focusing on semiconductors and power conversion circuits, this subject introduces students to inverter design, DC-DC converters, and motor drive applications. It also explores advanced topics like resonant converters and wide bandgap semiconductors.
Advanced Control Systems: Building upon basic control theory, this course delves into state-space methods, digital control systems, robust control, and nonlinear control techniques. Students gain proficiency in simulation tools such as MATLAB/Simulink.
VLSI Design: This elective focuses on the design and implementation of integrated circuits using CMOS technology. Topics include logic synthesis, layout design, and testing strategies for modern VLSI systems.
Smart Grid Technologies: With the increasing complexity of power networks, this course covers smart metering, demand response, energy management systems, and cybersecurity in electrical grids.
AI in Electrical Systems: Integrating artificial intelligence concepts with electrical engineering principles, this course teaches students how to apply machine learning algorithms for predictive maintenance, anomaly detection, and optimization of power systems.
Energy Storage Systems: Students explore various battery technologies including lithium-ion, lead-acid, and emerging alternatives like solid-state batteries. The course also covers energy storage management strategies and grid integration challenges.
Electric Vehicle Technologies: This course provides an overview of EV architecture, charging infrastructure, battery management systems, and vehicle-to-grid (V2G) technologies. It includes practical sessions on EV simulation and testing.
Internet of Things in Energy Systems: Exploring the convergence of IoT and energy systems, this subject covers sensor networks, data analytics, and real-time monitoring solutions for smart grids and industrial automation.
The Electrical Engineering program at Government Polytechnic Bans places a strong emphasis on project-based learning. From the early semesters, students are encouraged to work on mini-projects that reinforce classroom concepts and develop practical skills.
Mini-projects begin in the second year and involve small teams working under faculty supervision. These projects are typically completed within one semester and focus on applying theoretical knowledge to solve real-world problems. Examples include designing a simple motor control system or implementing a basic power electronics circuit.
The final-year capstone project is a significant component of the program, lasting for two semesters. Students are required to select a topic related to their specialization, conduct research, and develop a working prototype or solution. Faculty mentors guide students throughout the process, ensuring they receive adequate support and feedback.
Project selection is done through a competitive process where students submit proposals outlining their interests and feasibility plans. The department maintains a list of available projects from faculty members and industry partners, allowing students to choose topics that align with their career goals and research interests.
Evaluation criteria for these projects include technical depth, innovation, presentation quality, peer review scores, and final deliverables. Students are also assessed on their ability to work in teams, manage timelines, and communicate effectively with stakeholders.
