Curriculum Overview

The Auto Electrical Engineering curriculum at Government Polytechnic Bachalikhal is meticulously designed to provide students with a comprehensive understanding of both theoretical and practical aspects of automotive electrical systems. The program spans eight semesters, each building upon the previous one to ensure progressive learning and skill development.

Course Structure Across Eight Semesters

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
1	AE101	Engineering Mathematics I	3-1-0-4	None
1	AE102	Physics for Engineers	3-1-0-4	None
1	AE103	Basic Electrical Circuits	3-1-0-4	None
1	AE104	Introduction to Computer Programming	3-1-0-4	None
2	AE201	Engineering Mathematics II	3-1-0-4	AE101
2	AE202	Digital Electronics	3-1-0-4	AE103
2	AE203	Microprocessors and Microcontrollers	3-1-0-4	AE104
2	AE204	Control Systems	3-1-0-4	AE201
3	AE301	Electrical Machines	3-1-0-4	AE203
3	AE302	Electric Vehicle Technology	3-1-0-4	AE201
3	AE303	Embedded Systems Design	3-1-0-4	AE203
3	AE304	Sensor Networks and IoT	3-1-0-4	AE202
4	AE401	Advanced Control Systems	3-1-0-4	AE301
4	AE402	Automotive Communication Protocols	3-1-0-4	AE304
4	AE403	Automotive Cybersecurity	3-1-0-4	AE204
4	AE404	Smart Grid Integration	3-1-0-4	AE302
5	AE501	Autonomous Driving Systems	3-1-0-4	AE401
5	AE502	Battery Management Systems	3-1-0-4	AE402
5	AE503	Vehicle Diagnostics and Maintenance	3-1-0-4	AE403
5	AE504	Sustainable Power Management	3-1-0-4	AE404
6	AE601	Advanced Microcontroller Programming	3-1-0-4	AE501
6	AE602	Energy Storage Technologies	3-1-0-4	AE502
6	AE603	Predictive Maintenance in Automotive Systems	3-1-0-4	AE503
6	AE604	Wireless Sensor Networks	3-1-0-4	AE504
7	AE701	Research Methodology	3-1-0-4	AE601
7	AE702	Mini Project I	3-1-0-4	AE602
7	AE703	Mini Project II	3-1-0-4	AE603
7	AE704	Advanced Electives I	3-1-0-4	AE604
8	AE801	Final Year Thesis/Capstone Project	3-1-0-4	AE701
8	AE802	Advanced Electives II	3-1-0-4	AE702
8	AE803	Internship	3-1-0-4	AE703
8	AE804	Capstone Project Presentation	3-1-0-4	AE704

Detailed Course Descriptions

The department offers a range of advanced departmental elective courses designed to deepen students' expertise in specialized areas:

• Battery Management Systems: This course explores the design and implementation of battery management systems for electric vehicles, covering topics like cell balancing, thermal management, and safety protocols. Students gain hands-on experience with industry-standard tools and software.
• Autonomous Navigation Algorithms: Focuses on developing algorithms for autonomous vehicle navigation, including path planning, obstacle detection, and decision-making under uncertainty. Practical sessions involve simulation software and real-world datasets.
• Cybersecurity for Connected Cars: Addresses the growing need for cybersecurity in connected vehicles, covering vulnerabilities, threat models, and secure communication protocols. Students engage in ethical hacking exercises and penetration testing.
• Solar Charging Systems for Vehicles: Examines the integration of solar energy into vehicle charging systems, including photovoltaic panel design, energy conversion efficiency, and system optimization techniques.
• Wireless Sensor Networks: Covers design principles, protocols, and applications of wireless sensor networks in automotive environments. Students work on practical projects involving network deployment and data analysis.
• Advanced Microcontroller Programming: Delivers advanced programming concepts for microcontrollers used in automotive systems, emphasizing real-time processing, interrupt handling, and communication protocols.
• Energy Storage Technologies: Explores various energy storage technologies including lithium-ion batteries, supercapacitors, and fuel cells. The course includes laboratory sessions on testing and performance evaluation.
• Predictive Maintenance in Automotive Systems: Introduces predictive maintenance strategies using machine learning algorithms and data analytics. Students learn to build models that predict component failures and optimize maintenance schedules.
• Vehicle Diagnostics and Troubleshooting: Provides comprehensive training in diagnosing and resolving vehicle issues using advanced diagnostic tools and techniques. Includes hands-on sessions with actual vehicles.
• Smart Grid Integration: Focuses on integrating renewable energy sources into automotive systems, covering grid stability, energy management, and regulatory frameworks.

Project-Based Learning Philosophy

The department's philosophy centers around project-based learning to ensure students acquire practical skills and apply theoretical knowledge in real-world scenarios. The approach emphasizes:

• Collaborative Learning: Students work in teams to tackle complex engineering problems, fostering communication and leadership skills.
• Industry Alignment: Projects are often sourced from industry partners, ensuring relevance and applicability to current market demands.
• Mentorship and Guidance: Faculty members serve as mentors throughout the project lifecycle, providing guidance and feedback.

Mini-Projects Structure

Students undertake two mandatory mini-projects during their third and fourth years:

• Mini Project I (Year 3): Focuses on foundational engineering concepts with emphasis on design and prototyping. Projects are evaluated based on innovation, technical execution, and presentation quality.
• Mini Project II (Year 4): Builds upon previous projects, integrating advanced technologies and methodologies. Emphasis is placed on scalability, impact, and potential commercialization.

Final-Year Thesis/Capstone Project

The final year capstone project is a comprehensive endeavor that synthesizes all knowledge gained throughout the program:

• Project Selection Process: Students choose projects in consultation with faculty advisors, considering personal interests, industry trends, and resource availability.
• Mentorship: Each student is assigned a faculty mentor who guides them through the research and development process.
• Evaluation Criteria: Projects are assessed based on originality, technical depth, documentation quality, and presentation skills.
• Presentation and Defense: Students present their work to a panel of faculty members and industry experts, followed by a rigorous questioning session.