Curriculum Overview for Auto Electrical Program
The Auto Electrical program at Govt Polytechnic Satpuli follows a structured, progressive curriculum that ensures students develop both theoretical knowledge and practical skills necessary to excel in the automotive electronics industry. The program is divided into eight semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions.
Course Listing Across All Semesters
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | AE-101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | AE-102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | AE-103 | Basic Electrical Circuits | 3-1-0-4 | - |
| 1 | AE-104 | Engineering Graphics | 2-1-0-3 | - |
| 1 | AE-105 | Computer Programming | 3-0-2-4 | - |
| 1 | AE-106 | Workshop Practice | 0-0-3-1 | - |
| 1 | AE-107 | English Communication | 2-0-0-2 | - |
| 2 | AE-201 | Engineering Mathematics II | 3-1-0-4 | AE-101 |
| 2 | AE-202 | Electronic Devices and Circuits | 3-1-0-4 | AE-103 |
| 2 | AE-203 | Automotive Mechanics | 3-1-0-4 | - |
| 2 | AE-204 | Control Systems | 3-1-0-4 | AE-101 |
| 2 | AE-205 | Digital Logic and Microprocessors | 3-1-0-4 | - |
| 2 | AE-206 | Engineering Chemistry | 3-1-0-4 | - |
| 2 | AE-207 | Environmental Science | 2-0-0-2 | - |
| 3 | AE-301 | Power Electronics | 3-1-0-4 | AE-202 |
| 3 | AE-302 | Embedded Systems | 3-1-0-4 | AE-205 |
| 3 | AE-303 | Vehicle Dynamics and Control | 3-1-0-4 | AE-204 |
| 3 | AE-304 | Automotive Sensors and Instrumentation | 3-1-0-4 | - |
| 3 | AE-305 | Microcontroller Applications | 3-1-0-4 | AE-205 |
| 3 | AE-306 | Automotive Manufacturing Processes | 3-1-0-4 | - |
| 3 | AE-307 | Electromagnetic Compatibility | 3-1-0-4 | - |
| 4 | AE-401 | Electric Vehicle Technology | 3-1-0-4 | AE-301 |
| 4 | AE-402 | Advanced Control Systems | 3-1-0-4 | AE-204 |
| 4 | AE-403 | Vehicle Diagnostics and Testing | 3-1-0-4 | AE-303 |
| 4 | AE-404 | Smart Transportation Systems | 3-1-0-4 | - |
| 4 | AE-405 | Artificial Intelligence in Vehicles | 3-1-0-4 | - |
| 4 | AE-406 | Renewable Energy Integration in Vehicles | 3-1-0-4 | - |
| 4 | AE-407 | Advanced Vehicle Security | 3-1-0-4 | - |
| 5 | AE-501 | Automotive Electronics Design | 3-1-0-4 | AE-302 |
| 5 | AE-502 | Advanced Driver Assistance Systems (ADAS) | 3-1-0-4 | - |
| 5 | AE-503 | Vehicle Communication Protocols | 3-1-0-4 | - |
| 5 | AE-504 | Energy Storage Systems for EVs | 3-1-0-4 | - |
| 5 | AE-505 | Vehicle Safety and Reliability | 3-1-0-4 | - |
| 5 | AE-506 | Automotive Software Engineering | 3-1-0-4 | - |
| 5 | AE-507 | Human-Machine Interface in Vehicles | 3-1-0-4 | - |
| 6 | AE-601 | Autonomous Vehicle Systems | 3-1-0-4 | AE-502 |
| 6 | AE-602 | Vehicle Data Analytics | 3-1-0-4 | - |
| 6 | AE-603 | Smart Grid Integration in EVs | 3-1-0-4 | - |
| 6 | AE-604 | V2X Communication Technologies | 3-1-0-4 | - |
| 6 | AE-605 | Advanced Battery Management Systems | 3-1-0-4 | - |
| 6 | AE-606 | Vehicle Cybersecurity | 3-1-0-4 | - |
| 6 | AE-607 | Industrial Project Management | 3-1-0-4 | - |
| 7 | AE-701 | Mini Project I | 0-0-6-2 | - |
| 7 | AE-702 | Mini Project II | 0-0-6-2 | - |
| 7 | AE-703 | Research Methodology | 2-0-0-2 | - |
| 7 | AE-704 | Professional Ethics and Values | 2-0-0-2 | - |
| 7 | AE-705 | Internship Preparation | 0-0-3-1 | - |
| 8 | AE-801 | Final Year Project (Thesis) | 0-0-12-4 | AE-701 |
| 8 | AE-802 | Industrial Internship | 0-0-6-3 | - |
| 8 | AE-803 | Professional Development | 2-0-0-2 | - |
| 8 | AE-804 | Final Project Presentation | 0-0-3-1 | - |
Advanced Departmental Elective Courses
Electric Vehicle Technology (AE-401): This course provides students with in-depth knowledge of electric vehicle systems, including battery technologies, motor drives, charging infrastructure, and energy management strategies. Students explore the design and optimization of EV components, gaining practical experience through laboratory sessions and real-world case studies.
Advanced Driver Assistance Systems (ADAS) (AE-502): This course delves into the development and integration of intelligent vehicle systems such as collision avoidance, lane departure warnings, adaptive cruise control, and pedestrian detection. Students learn to design and implement sensor fusion algorithms and machine learning models for real-time decision-making in vehicles.
Vehicle Communication Protocols (AE-503): This course explores various communication standards used in modern vehicles, including CAN bus, LIN, FlexRay, and Ethernet-based networks. Students study protocol architectures, data transmission mechanisms, and network security issues, preparing them to design robust communication systems for connected vehicles.
Energy Storage Systems for EVs (AE-504): This course focuses on the latest advancements in battery technologies, including lithium-ion, solid-state, and fuel cell systems. Students analyze energy storage characteristics, thermal management strategies, and lifecycle optimization techniques used in electric vehicle applications.
Vehicle Safety and Reliability (AE-505): This course emphasizes the importance of safety and reliability in automotive systems. Students learn about fault analysis, risk assessment methodologies, and design for safety principles. The curriculum covers both passive and active safety systems, including airbags, ABS, and electronic stability control.
Automotive Software Engineering (AE-506): This course introduces students to software development practices specific to automotive applications. Topics include software architecture, testing frameworks, compliance with ISO 26262 standards, and integration of embedded systems with vehicle control units.
Human-Machine Interface in Vehicles (AE-507): This course explores the design and implementation of user interfaces in vehicles, including infotainment systems, voice recognition, gesture control, and augmented reality displays. Students learn to create intuitive, accessible, and safe interfaces that enhance driver experience.
Autonomous Vehicle Systems (AE-601): This course provides comprehensive coverage of autonomous vehicle technologies, including perception systems, localization algorithms, path planning, and decision-making frameworks. Students work on projects involving simulation environments and real-world vehicle platforms to understand the challenges in achieving full autonomy.
Vehicle Data Analytics (AE-602): This course teaches students how to collect, process, and analyze large datasets generated by vehicles. Topics include data mining techniques, predictive analytics, machine learning algorithms, and visualization tools used for fleet optimization and driver behavior analysis.
Smart Grid Integration in EVs (AE-603): This course examines the integration of electric vehicles with smart grids, focusing on vehicle-to-grid (V2G) technologies, bidirectional charging, demand response programs, and energy storage solutions. Students explore policy frameworks and economic models for sustainable transportation.
V2X Communication Technologies (AE-604): This course explores vehicle-to-everything (V2X) communication systems, including vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-pedestrian (V2P) communications. Students study communication protocols, security challenges, and real-world applications in smart transportation.
Advanced Battery Management Systems (AE-605): This course covers the design and implementation of advanced battery management systems for electric vehicles. Students learn about state-of-charge estimation, thermal control, fault detection, and lifecycle optimization strategies using modern electronic components and algorithms.
Vehicle Cybersecurity (AE-606): This course addresses the growing concern of cybersecurity in connected vehicles. Students explore threats, vulnerabilities, encryption techniques, secure communication protocols, and regulatory compliance frameworks for automotive systems.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a core component of education. The philosophy centers on the idea that students learn best when they are actively engaged in solving real-world problems. This approach promotes critical thinking, creativity, and collaboration while reinforcing theoretical concepts with practical applications.
Mini-projects begin in the third semester, where students work in teams to design and build small-scale systems related to automotive electronics. These projects are guided by faculty mentors and involve iterative development cycles, documentation, and presentations. The goal is to develop problem-solving skills, technical competencies, and teamwork abilities.
The final year project (thesis) represents the culmination of the student's academic journey. Students select a topic in consultation with faculty mentors, conduct extensive research, and present their findings to an evaluation committee. Projects often involve collaboration with industry partners, providing students with exposure to real-world challenges and professional standards.
Evaluation criteria for projects include innovation, technical execution, documentation quality, presentation skills, and teamwork effectiveness. Students are encouraged to publish their work in journals or present at conferences, further enhancing their academic and professional profiles.