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.