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+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Auto Electrical

Government Polytechnic Shaktifarm
Duration
4 Years
Auto Electrical UG OFFLINE

Duration

4 Years

Auto Electrical

Government Polytechnic Shaktifarm
Duration
Apply

Fees

₹3,50,000

Placement

92.0%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Auto Electrical
UG
OFFLINE

Fees

₹3,50,000

Placement

92.0%

Avg Package

₹6,50,000

Highest Package

₹12,00,000

Seats

180

Students

1,200

ApplyCollege

Seats

180

Students

1,200

Curriculum

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:

SemesterCourse CodeFull Course TitleCredits (L-T-P-C)Prerequisites
1AE-101Mathematics I3-1-0-4-
1AE-102Physics I3-1-0-4-
1AE-103Chemistry3-1-0-4-
1AE-104Engineering Graphics & Design2-1-0-3-
1AE-105Basic Electrical Engineering3-1-0-4-
1AE-106Introduction to Automotive Systems2-1-0-3-
1AE-107Computer Programming2-1-0-3-
1AE-108Workshop Practice I1-0-2-2-
2AE-201Mathematics II3-1-0-4AE-101
2AE-202Physics II3-1-0-4AE-102
2AE-203Mechanics of Materials3-1-0-4-
2AE-204Circuit Theory3-1-0-4AE-105
2AE-205Electronic Devices and Circuits3-1-0-4-
2AE-206Automotive Mechanics2-1-0-3-
2AE-207Data Structures and Algorithms2-1-0-3AE-107
2AE-208Workshop Practice II1-0-2-2AE-108
3AE-301Mathematics III3-1-0-4AE-201
3AE-302Signals and Systems3-1-0-4-
3AE-303Control Systems3-1-0-4AE-204
3AE-304Digital Electronics3-1-0-4-
3AE-305Microcontroller Applications2-1-0-3AE-205
3AE-306Sensors and Transducers3-1-0-4-
3AE-307Automotive Electronics2-1-0-3AE-205
3AE-308Workshop Practice III1-0-2-2AE-208
4AE-401Probability and Statistics3-1-0-4-
4AE-402Electromagnetic Fields3-1-0-4-
4AE-403Power Electronics3-1-0-4-
4AE-404Embedded Systems2-1-0-3AE-305
4AE-405Vehicle Dynamics2-1-0-3-
4AE-406Automotive Instrumentation2-1-0-3AE-306
4AE-407Project Management2-1-0-3-
4AE-408Workshop Practice IV1-0-2-2AE-308
5AE-501Advanced Mathematics3-1-0-4AE-301
5AE-502Power System Analysis3-1-0-4-
5AE-503Automotive Powertrain Systems3-1-0-4-
5AE-504Smart Mobility Technologies2-1-0-3-
5AE-505Vehicle Safety and Reliability2-1-0-3-
5AE-506Electric Vehicle Components2-1-0-3-
5AE-507System Integration and Testing2-1-0-3-
5AE-508Mini Project I2-0-0-2AE-406
6AE-601Operations Research3-1-0-4-
6AE-602Advanced Control Systems3-1-0-4AE-303
6AE-603Autonomous Vehicle Technologies2-1-0-3-
6AE-604Hybrid and Electric Propulsion2-1-0-3-
6AE-605Vehicle Telematics and Communication2-1-0-3-
6AE-606Advanced Diagnostics and Maintenance2-1-0-3-
6AE-607Research Methodology2-1-0-3-
6AE-608Mini Project II2-0-0-2AE-508
7AE-701Capstone Project I4-0-0-4-
7AE-702Industry Internship4-0-0-4-
7AE-703Elective Course I2-1-0-3-
7AE-704Elective Course II2-1-0-3-
7AE-705Advanced Topics in Automotive Electronics2-1-0-3-
7AE-706Research and Innovation Workshop2-1-0-3-
7AE-707Professional Ethics and Communication2-1-0-3-
7AE-708Mini Project III2-0-0-2AE-608
8AE-801Capstone Project II4-0-0-4AE-701
8AE-802Thesis / Final Year Project6-0-0-6-
8AE-803Elective Course III2-1-0-3-
8AE-804Elective Course IV2-1-0-3-
8AE-805Advanced Capstone Project2-0-0-2AE-701
8AE-806Final Presentation and Evaluation2-0-0-2-
8AE-807Industry Review and Placement Preparation2-1-0-3-
8AE-808Graduation Ceremony0-0-0-0-

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.