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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electrical Engineering

    Government Polytechnic Gopeshwar Chamoli
    Duration
    4 Years
    Electrical UG OFFLINE

    Duration

    4 Years

    Electrical Engineering

    Government Polytechnic Gopeshwar Chamoli
    Duration
    Apply

    Fees

    ₹1,20,000

    Placement

    92.5%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,50,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electrical
    UG
    OFFLINE

    Fees

    ₹1,20,000

    Placement

    92.5%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,50,000

    Seats

    60

    Students

    240

    ApplyCollege

    Seats

    60

    Students

    240

    Curriculum

    Curriculum Overview

    The Electrical Engineering program at Govt Polytechnic Gopeshwar Chamoli is structured over 8 semesters, with a balanced mix of theoretical subjects, practical labs, departmental electives, and core engineering principles. This curriculum aims to build a strong foundation in electrical sciences while preparing students for real-world challenges through project-based learning and industry exposure.

    SemesterCourse CodeCourse TitleCredit (L-T-P-C)Pre-requisites
    IMATH-101Mathematics I3-1-0-4-
    IPHY-101Physics for Electrical Engineering3-1-0-4-
    ICHEM-101Chemistry for Engineers3-1-0-4-
    IENG-101English Communication Skills2-0-0-2-
    IESC-101Engineering Drawing & Computer Graphics2-1-0-3-
    IECO-101Environmental Science2-0-0-2-
    ILAB-101Basic Electrical Lab0-0-3-1-
    ILAB-102Basic Electronics Lab0-0-3-1-
    IIMATH-201Mathematics II3-1-0-4MATH-101
    IIECE-201Basic Electrical Engineering3-1-0-4-
    IIEE-201Electromagnetic Fields3-1-0-4MATH-201, PHY-101
    IICS-201Introduction to Programming2-1-0-3-
    IILIT-201Leadership & Teamwork2-0-0-2-
    IILAB-201Circuit Analysis Lab0-0-3-1-
    IIIMATH-301Mathematics III3-1-0-4MATH-201
    IIIEE-301Network Analysis & Synthesis3-1-0-4ECE-201, MATH-201
    IIIEE-302Electrical Machines I3-1-0-4ECE-201
    IIIEE-303Power Electronics3-1-0-4-
    IIICS-301Data Structures & Algorithms2-1-0-3CS-201
    IIILAB-301Machine Lab0-0-3-1-
    IVMATH-401Mathematics IV3-1-0-4MATH-301
    IVEE-401Control Systems3-1-0-4EE-301, MATH-301
    IVEE-402Electrical Machines II3-1-0-4EE-302
    IVEE-403Power Systems3-1-0-4EE-301
    IVCS-401Computer Architecture2-1-0-3CS-301
    IVLAB-401Control Systems Lab0-0-3-1-
    VEE-501Digital Signal Processing3-1-0-4MATH-401, EE-401
    VEE-502Embedded Systems3-1-0-4CS-401
    VEE-503Renewable Energy Systems3-1-0-4EE-403
    VEE-504Electronics Devices & Circuits3-1-0-4EE-303
    VEE-505Communication Systems3-1-0-4EE-501
    VLAB-501DSP & Embedded Lab0-0-3-1-
    VIEE-601Smart Grid Technologies3-1-0-4EE-503
    VIEE-602Power System Protection3-1-0-4EE-403
    VIEE-603Robotics & Automation3-1-0-4EE-401
    VIEE-604Energy Storage Systems3-1-0-4EE-503
    VIEE-605Advanced Control Theory3-1-0-4EE-401
    VILAB-601Advanced Lab Project0-0-3-1-
    VIIEE-701Capstone Project I2-0-0-4-
    VIIEE-702Project Management2-0-0-2-
    VIIEE-703Internship0-0-0-4-
    VIIIEE-801Capstone Project II2-0-0-6-
    VIIIEE-802Research Methodology2-0-0-2-
    VIIIEE-803Industrial Training0-0-0-4-

    Advanced Departmental Electives

    These advanced courses allow students to specialize in emerging domains and prepare them for future leadership roles in their respective fields:

    • Digital Signal Processing (DSP): This course focuses on mathematical methods used to process digital signals such as audio, video, and biomedical data. Students learn about sampling theory, filter design, and fast Fourier transforms.
    • Embedded Systems Design: Students are introduced to microcontrollers, real-time operating systems, and hardware-software integration techniques essential for designing embedded applications in automotive, aerospace, and consumer electronics.
    • Renewable Energy Systems: This course covers solar photovoltaic systems, wind energy conversion, hydroelectric power, and energy storage solutions. It includes practical sessions on system design and simulation tools.
    • Power Electronics & Drives: Covers power electronic converters, motor drives, inverter technologies, and their applications in industrial automation and renewable energy systems.
    • Smart Grid Technologies: Explores smart meters, demand response programs, grid stability analysis, and integration of distributed generation sources into the main grid.
    • Control Systems & Automation: Focuses on modern control theory, state-space methods, PID controllers, and automation systems used in manufacturing and process industries.
    • Energy Storage Systems: Teaches principles of battery technologies, supercapacitors, fuel cells, and energy storage management for grid-scale applications.
    • Robotics & AI Integration: Combines robotics with artificial intelligence to develop intelligent autonomous systems for applications in manufacturing, healthcare, and exploration.
    • Power System Protection: Covers relay settings, fault analysis, protection schemes, and cybersecurity aspects of power systems.
    • Advanced Control Theory: Delves into optimal control, robust control, nonlinear control systems, and adaptive control methods for complex industrial processes.

    Project-Based Learning Philosophy

    The department follows a rigorous project-based learning model that emphasizes critical thinking, innovation, and teamwork. Students begin with guided mini-projects in their second year and progress to independent capstone projects in their final year.

    Mini-projects are assigned at the end of each semester and typically last 4–6 weeks. These projects are designed to reinforce concepts learned in class and introduce students to real-world engineering challenges. Projects may involve designing circuits, simulating systems, or developing software tools.

    The final-year thesis/capstone project is a comprehensive endeavor that spans two semesters. Students select their topic under the guidance of a faculty mentor based on their interest areas and career goals. The project involves extensive literature review, experimental design, implementation, testing, and documentation.

    Students are evaluated through continuous assessments, peer reviews, oral presentations, and final project reports. Faculty mentors provide feedback throughout the process to ensure quality and relevance of outcomes.