Curriculum Overview
The Auto Electrical program at Government Polytechnic Bans follows a rigorous, semester-wise curriculum designed to provide students with comprehensive knowledge and practical skills required in the modern automotive industry. The program spans eight semesters, each containing a mix of core subjects, departmental electives, science electives, and laboratory sessions.
Semester-wise Course Structure
| Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|---|
| 1st Year | Semester I | AE-101 | Engineering Mathematics I | 3-1-0-4 | - |
| AE-102 | Basic Electrical Engineering | 3-1-0-4 | - | ||
| AE-103 | Introduction to Automobile Engineering | 3-1-0-4 | - | ||
| AE-104 | Engineering Physics | 3-1-0-4 | - | ||
| AE-105 | Computer Programming | 2-1-0-3 | - | ||
| 1st Year | Semester II | AE-201 | Engineering Mathematics II | 3-1-0-4 | AE-101 |
| AE-202 | Electronic Devices and Circuits | 3-1-0-4 | - | ||
| AE-203 | Mechanical Engineering Fundamentals | 3-1-0-4 | - | ||
| AE-204 | Engineering Chemistry | 3-1-0-4 | - | ||
| AE-205 | Electrical Circuits and Networks | 3-1-0-4 | - | ||
| 2nd Year | Semester III | AE-301 | Power Electronics | 3-1-0-4 | AE-202, AE-205 |
| AE-302 | Control Systems | 3-1-0-4 | AE-101, AE-205 | ||
| AE-303 | Vehicle Dynamics | 3-1-0-4 | - | ||
| AE-304 | Microcontroller and Embedded Systems | 3-1-0-4 | AE-202, AE-205 | ||
| AE-305 | Engineering Economics and Management | 3-1-0-4 | - | ||
| 2nd Year | Semester IV | AE-401 | Automotive Electronics | 3-1-0-4 | AE-202, AE-205 |
| AE-402 | Sensor Technology and Instrumentation | 3-1-0-4 | AE-202, AE-205 | ||
| AE-403 | Vehicle Safety Systems | 3-1-0-4 | - | ||
| AE-404 | Industrial Training I | 0-0-2-2 | - | ||
| AE-405 | Project Workshop I | 0-0-3-2 | - | ||
| 3rd Year | Semester V | AE-501 | Electric Vehicle Technology | 3-1-0-4 | AE-301, AE-401 |
| AE-502 | Advanced Power Conversion Techniques | 3-1-0-4 | AE-301 | ||
| AE-503 | Smart Transportation Systems | 3-1-0-4 | - | ||
| AE-504 | Autonomous Driving Technologies | 3-1-0-4 | AE-302 | ||
| AE-505 | Research Methodology | 3-1-0-4 | - | ||
| 3rd Year | Semester VI | AE-601 | Hybrid Propulsion Systems | 3-1-0-4 | AE-501, AE-502 |
| AE-602 | Vehicle Diagnostics and Maintenance | 3-1-0-4 | - | ||
| AE-603 | Renewable Energy Integration in Vehicles | 3-1-0-4 | - | ||
| AE-604 | Industrial Training II | 0-0-2-2 | - | ||
| AE-605 | Project Workshop II | 0-0-3-2 | - | ||
| 4th Year | Semester VII | AE-701 | Capstone Project I | 0-0-6-6 | - |
| AE-702 | Advanced Control Theory | 3-1-0-4 | AE-302 | ||
| AE-703 | Automotive Informatics and Data Analytics | 3-1-0-4 | - | ||
| AE-704 | Internship Preparation | 0-0-2-2 | - | ||
| AE-705 | Entrepreneurship Development | 3-1-0-4 | - | ||
| 4th Year | Semester VIII | AE-801 | Capstone Project II | 0-0-6-6 | - |
| AE-802 | Final Year Thesis | 0-0-4-4 | - | ||
| AE-803 | Professional Ethics and Sustainability | 3-1-0-4 | - | ||
| AE-804 | Industry Interaction Session | 0-0-2-2 | - | ||
| AE-805 | Placement Preparation Workshop | 0-0-2-2 | - |
Advanced Departmental Electives
The department offers a range of advanced elective courses designed to deepen students' understanding and specialization in specific areas of Auto Electrical engineering:
- Electric Vehicle Battery Management Systems (AE-501): This course delves into the design, analysis, and optimization of battery systems for electric vehicles. Students learn about lithium-ion chemistry, thermal management, state-of-charge estimation, and safety protocols.
- Smart Transportation Systems (AE-503): Focuses on connected vehicle technologies, intelligent transportation systems, and data analytics in urban mobility solutions. Topics include V2X communication, traffic modeling, and smart infrastructure design.
- Advanced Power Conversion Techniques (AE-502): Explores modern power electronics applications in automotive systems, including DC-DC converters, inverters, and grid integration strategies for hybrid and electric vehicles.
- Autonomous Driving Technologies (AE-504): Covers sensor fusion, perception algorithms, localization techniques, path planning, and control systems used in autonomous vehicles. Includes hands-on lab work with simulation software like CARLA and ROS.
- Hybrid Propulsion Systems (AE-601): Studies the integration of internal combustion engines with electric motors, powertrain optimization, fuel efficiency improvements, and regulatory compliance for hybrid vehicles.
- Vehicle Diagnostics and Maintenance (AE-602): Teaches diagnostic methodologies, fault detection systems, preventive maintenance practices, and troubleshooting techniques using modern diagnostic tools.
- Renewable Energy Integration in Vehicles (AE-603): Examines solar and wind energy systems integrated into vehicles for sustainable mobility solutions. Includes design of solar roof panels, wind turbine integration, and energy storage strategies.
- Automotive Informatics and Data Analytics (AE-703): Applies data science techniques to automotive applications, focusing on predictive analytics, machine learning models, and real-time vehicle performance monitoring.
- Advanced Control Theory (AE-702): Builds upon fundamental control concepts, introducing advanced topics such as robust control, optimal control, nonlinear systems, and adaptive control strategies relevant to automotive applications.
- Capstone Project I & II (AE-701, AE-802): These courses involve comprehensive project work under faculty supervision, allowing students to apply theoretical knowledge to real-world problems in automotive electronics and power systems.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a cornerstone of engineering education. This approach enables students to develop critical thinking, problem-solving skills, and practical expertise through hands-on experimentation and real-world application:
- Mini Projects (Semesters III & IV): Students work in small groups on specific topics related to automotive electronics, control systems, or embedded programming. Each project involves literature review, design, simulation, and prototype development.
- Final Year Capstone Project (Semesters VII & VIII): The capstone project is a comprehensive, multi-semester endeavor that integrates all learned concepts. Students select projects based on industry trends, faculty research interests, or personal aspirations. Projects often involve collaboration with external organizations or startups.
- Mentorship System: Each student is assigned a faculty mentor who guides them through the project lifecycle, from initial concept to final implementation and presentation. Regular progress meetings ensure timely completion and quality outcomes.
- Evaluation Criteria: Projects are evaluated based on technical depth, innovation, feasibility, teamwork, documentation quality, and oral presentations. External evaluators from industry also participate in the assessment process.