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Course Structure and Curriculum Overview

The Auto Electrical program at Govt Polytechnic Gaja is meticulously structured over six semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions designed to foster both theoretical understanding and practical application.

Advanced Departmental Electives

These advanced courses are offered to students in the later semesters and are designed to deepen their understanding of specialized domains within Auto Electrical.

1. Electric Vehicle Technologies

This course explores the design, development, testing, and deployment of electric vehicle systems. Students learn about battery technologies, power electronics converters, motor control algorithms, charging infrastructure, and grid integration strategies. The curriculum includes hands-on experiments with EV prototypes and simulations using MATLAB/Simulink.

2. Smart Transportation Systems

Students are introduced to intelligent transportation networks that utilize sensors, communication protocols, data analytics, and artificial intelligence to optimize traffic flow, reduce congestion, and improve safety. This course involves working with real-time simulation platforms and analyzing actual traffic datasets.

3. Automotive Cybersecurity

This course addresses the growing need for securing automotive networks against cyber threats. It covers cryptographic protocols, intrusion detection systems, vulnerability assessments, secure communication frameworks, and compliance with international standards like ISO/SAE 21434. Students develop security models for connected vehicles.

4. Embedded Systems in Automotive Applications

This elective focuses on designing and implementing embedded software and hardware solutions tailored for automotive systems. Topics include real-time operating systems (RTOS), microcontroller architectures, sensor fusion, automotive software frameworks like AUTOSAR, and integration with vehicle control units.

5. Advanced Driver Assistance Systems (ADAS)

This course delves into the development and integration of autonomous driving technologies, including image processing, object detection, lane keeping assist, adaptive cruise control, and collision avoidance systems. Students gain practical experience using computer vision libraries like OpenCV and working with real sensor data sets.

6. Hybrid & Fuel Cell Technologies

This track examines alternative power sources for vehicles, focusing on hybrid electric vehicles (HEVs), plug-in hybrids (PHEVs), and fuel cell vehicles (FCVs). Students explore hydrogen production, storage systems, energy efficiency optimization, and integration with existing automotive infrastructure.

7. Vehicle Diagnostics & Maintenance

This course emphasizes the diagnosis and repair of modern vehicle systems using diagnostic tools, data analysis, and predictive maintenance techniques. Students learn to use industry-standard equipment and software for fault identification and system performance tuning.

8. Automotive Electronics Design

This elective focuses on circuit design, PCB layout, signal integrity, electromagnetic compatibility (EMC), and system-level integration in automotive contexts. Students gain proficiency in CAD tools, simulation environments, and hardware prototyping using industry-standard software like Altium Designer and KiCad.

9. Vehicle Communication Protocols

This course provides an overview of communication protocols used in modern vehicles, including CAN, LIN, FlexRay, Ethernet, and 5G connectivity. Students study protocol architecture, error handling mechanisms, and real-time data exchange between vehicle systems.

10. Power Electronics for Automotive Applications

This course covers the design and implementation of power electronics converters for automotive applications. Topics include DC-DC converters, AC-DC rectifiers, inverters, motor drives, and battery management systems. Students conduct experiments using power electronics lab equipment.

Project-Based Learning Philosophy

The department places significant emphasis on project-based learning to bridge the gap between theory and practice. The structure involves:

• Mini Projects (Semesters 3 & 4): Students work in teams to develop small-scale prototypes or solve real-world problems related to automotive electronics.
• Capstone Project (Semesters 5 & 6): A comprehensive project that integrates all learned concepts, often resulting in patents, publications, or industry collaborations.

Projects are selected based on faculty guidance and student interest. Each team is assigned a mentor who provides technical direction and support throughout the process. Evaluation criteria include innovation, feasibility, documentation, presentation quality, and peer review outcomes.