Comprehensive Course Structure
The Auto Electrical program at Government Polytechnic Shaktifarm is structured over 8 semesters, each building upon the previous one to provide a holistic understanding of automotive electrical systems. Below is a detailed breakdown of all core courses, departmental electives, science electives, and laboratory components across all semesters:
| Semester | Course Code | Full Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | AE-101 | Mathematics I | 3-1-0-4 | - |
| 1 | AE-102 | Physics I | 3-1-0-4 | - |
| 1 | AE-103 | Chemistry | 3-1-0-4 | - |
| 1 | AE-104 | Engineering Graphics & Design | 2-1-0-3 | - |
| 1 | AE-105 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | AE-106 | Introduction to Automotive Systems | 2-1-0-3 | - |
| 1 | AE-107 | Computer Programming | 2-1-0-3 | - |
| 1 | AE-108 | Workshop Practice I | 1-0-2-2 | - |
| 2 | AE-201 | Mathematics II | 3-1-0-4 | AE-101 |
| 2 | AE-202 | Physics II | 3-1-0-4 | AE-102 |
| 2 | AE-203 | Mechanics of Materials | 3-1-0-4 | - |
| 2 | AE-204 | Circuit Theory | 3-1-0-4 | AE-105 |
| 2 | AE-205 | Electronic Devices and Circuits | 3-1-0-4 | - |
| 2 | AE-206 | Automotive Mechanics | 2-1-0-3 | - |
| 2 | AE-207 | Data Structures and Algorithms | 2-1-0-3 | AE-107 |
| 2 | AE-208 | Workshop Practice II | 1-0-2-2 | AE-108 |
| 3 | AE-301 | Mathematics III | 3-1-0-4 | AE-201 |
| 3 | AE-302 | Signals and Systems | 3-1-0-4 | - |
| 3 | AE-303 | Control Systems | 3-1-0-4 | AE-204 |
| 3 | AE-304 | Digital Electronics | 3-1-0-4 | - |
| 3 | AE-305 | Microcontroller Applications | 2-1-0-3 | AE-205 |
| 3 | AE-306 | Sensors and Transducers | 3-1-0-4 | - |
| 3 | AE-307 | Automotive Electronics | 2-1-0-3 | AE-205 |
| 3 | AE-308 | Workshop Practice III | 1-0-2-2 | AE-208 |
| 4 | AE-401 | Probability and Statistics | 3-1-0-4 | - |
| 4 | AE-402 | Electromagnetic Fields | 3-1-0-4 | - |
| 4 | AE-403 | Power Electronics | 3-1-0-4 | - |
| 4 | AE-404 | Embedded Systems | 2-1-0-3 | AE-305 |
| 4 | AE-405 | Vehicle Dynamics | 2-1-0-3 | - |
| 4 | AE-406 | Automotive Instrumentation | 2-1-0-3 | AE-306 |
| 4 | AE-407 | Project Management | 2-1-0-3 | - |
| 4 | AE-408 | Workshop Practice IV | 1-0-2-2 | AE-308 |
| 5 | AE-501 | Advanced Mathematics | 3-1-0-4 | AE-301 |
| 5 | AE-502 | Power System Analysis | 3-1-0-4 | - |
| 5 | AE-503 | Automotive Powertrain Systems | 3-1-0-4 | - |
| 5 | AE-504 | Smart Mobility Technologies | 2-1-0-3 | - |
| 5 | AE-505 | Vehicle Safety and Reliability | 2-1-0-3 | - |
| 5 | AE-506 | Electric Vehicle Components | 2-1-0-3 | - |
| 5 | AE-507 | System Integration and Testing | 2-1-0-3 | - |
| 5 | AE-508 | Mini Project I | 2-0-0-2 | AE-406 |
| 6 | AE-601 | Operations Research | 3-1-0-4 | - |
| 6 | AE-602 | Advanced Control Systems | 3-1-0-4 | AE-303 |
| 6 | AE-603 | Autonomous Vehicle Technologies | 2-1-0-3 | - |
| 6 | AE-604 | Hybrid and Electric Propulsion | 2-1-0-3 | - |
| 6 | AE-605 | Vehicle Telematics and Communication | 2-1-0-3 | - |
| 6 | AE-606 | Advanced Diagnostics and Maintenance | 2-1-0-3 | - |
| 6 | AE-607 | Research Methodology | 2-1-0-3 | - |
| 6 | AE-608 | Mini Project II | 2-0-0-2 | AE-508 |
| 7 | AE-701 | Capstone Project I | 4-0-0-4 | - |
| 7 | AE-702 | Industry Internship | 4-0-0-4 | - |
| 7 | AE-703 | Elective Course I | 2-1-0-3 | - |
| 7 | AE-704 | Elective Course II | 2-1-0-3 | - |
| 7 | AE-705 | Advanced Topics in Automotive Electronics | 2-1-0-3 | - |
| 7 | AE-706 | Research and Innovation Workshop | 2-1-0-3 | - |
| 7 | AE-707 | Professional Ethics and Communication | 2-1-0-3 | - |
| 7 | AE-708 | Mini Project III | 2-0-0-2 | AE-608 |
| 8 | AE-801 | Capstone Project II | 4-0-0-4 | AE-701 |
| 8 | AE-802 | Thesis / Final Year Project | 6-0-0-6 | - |
| 8 | AE-803 | Elective Course III | 2-1-0-3 | - |
| 8 | AE-804 | Elective Course IV | 2-1-0-3 | - |
| 8 | AE-805 | Advanced Capstone Project | 2-0-0-2 | AE-701 |
| 8 | AE-806 | Final Presentation and Evaluation | 2-0-0-2 | - |
| 8 | AE-807 | Industry Review and Placement Preparation | 2-1-0-3 | - |
| 8 | AE-808 | Graduation Ceremony | 0-0-0-0 | - |
Advanced departmental elective courses form a cornerstone of our program's depth and relevance:
Advanced Diagnostics and Predictive Maintenance
This course explores advanced diagnostic techniques using machine learning algorithms, data analytics, and sensor networks. Students learn to analyze vehicle performance data for predictive maintenance, reducing downtime and improving safety.
Hybrid and Electric Propulsion Systems
Focusing on modern hybrid architectures, this course covers battery technologies, motor control systems, energy management strategies, and charging infrastructure design for electric vehicles.
Autonomous Vehicle Technologies
This course delves into perception systems, localization, path planning, and control algorithms for autonomous driving. Students gain hands-on experience with LiDAR, radar sensors, and simulation tools like CARLA and LGSVL.
Smart Mobility and Connected Car Systems
Students explore V2X communication protocols, 5G integration, cloud computing in automotive systems, and smart city mobility solutions. Real-world case studies from companies like Ford, GM, and Tesla are integrated into the curriculum.
Vehicle Telematics and Communication
This course focuses on vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-cloud (V2C) communication technologies. Students implement communication protocols using CAN bus, Ethernet, and wireless networks.
Advanced Power Electronics for Automotive Applications
Students learn to design power converters, inverters, and DC-DC converters tailored for automotive environments. This includes understanding power semiconductor devices, switching techniques, and thermal management.
Embedded Systems in Automotive Environments
This course covers real-time operating systems (RTOS), microcontroller architectures, interrupt handling, and task scheduling for automotive applications. Students develop embedded software using C/C++ and ARM Cortex-M processors.
Advanced Vehicle Dynamics and Control
This course explores vehicle dynamics models, suspension design, stability control, and advanced control strategies. Students simulate vehicle behavior under various driving conditions using MATLAB/Simulink.
Electric Vehicle Battery Management Systems
Focused on lithium-ion battery chemistry, cell balancing, thermal regulation, and safety protocols. Students design and test BMS modules using commercial off-the-shelf components.
Sustainable Transportation Technologies
This course examines hydrogen fuel cells, biofuels, and alternative propulsion methods for sustainable mobility. It includes hands-on experiments with fuel cell stacks and electric motor testing.
Project-Based Learning Philosophy
Our program emphasizes project-based learning as a core pedagogical approach. Students engage in multi-phase projects that begin with conceptualization and evolve through prototyping, testing, and refinement. Mini-projects are assigned in the second year to build foundational skills, while capstone projects in the final year allow students to demonstrate mastery across multiple disciplines.
The evaluation criteria for these projects include technical execution, innovation, teamwork, documentation quality, and presentation skills. Faculty mentors guide students throughout the process, ensuring alignment with industry standards and best practices.
Students select their project topics based on personal interests and career aspirations. They are encouraged to collaborate with faculty members or industry partners, providing them with real-world exposure and networking opportunities.