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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electrical Engineering

    M DIT Polytechnic College
    Duration
    4 Years
    Electrical Engineering UG OFFLINE

    Duration

    4 Years

    Electrical Engineering

    M DIT Polytechnic College
    Duration
    Apply

    Fees

    ₹2,50,000

    Placement

    92.0%

    Avg Package

    ₹6,20,000

    Highest Package

    ₹9,50,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electrical Engineering
    UG
    OFFLINE

    Fees

    ₹2,50,000

    Placement

    92.0%

    Avg Package

    ₹6,20,000

    Highest Package

    ₹9,50,000

    Seats

    180

    Students

    1,200

    ApplyCollege

    Seats

    180

    Students

    1,200

    Curriculum

    Course Structure Overview

    The Electrical Engineering program at M DIT Polytechnic College is structured over 8 semesters, with a blend of core courses, departmental electives, science electives, and laboratory sessions designed to provide students with a well-rounded education.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    IENG101English for Engineers3-0-0-3-
    IMAT101Mathematics I4-0-0-4-
    IPHY101Physics for Engineers3-0-0-3-
    ICSE101Introduction to Programming2-0-2-4-
    IEE101Basic Electrical Engineering3-0-0-3-
    ILAB101Basic Lab Session0-0-2-2-
    IIMAT102Mathematics II4-0-0-4MAT101
    IIPHY102Modern Physics3-0-0-3PHY101
    IIEE102Circuit Analysis3-0-0-3EE101
    IIEE103Digital Logic Design3-0-0-3-
    IICSE102Data Structures and Algorithms3-0-0-3CSE101
    IILAB102Circuit Lab Session0-0-2-2-
    IIIMAT201Mathematics III4-0-0-4MAT102
    IIIEE201Electromagnetic Fields3-0-0-3PHY102
    IIIEE202Analog Electronics3-0-0-3EE102
    IIIEE203Signals and Systems3-0-0-3MAT201
    IIIEE204Control Systems3-0-0-3EE102
    IIILAB201Analog Electronics Lab0-0-2-2-
    IVMAT202Mathematics IV4-0-0-4MAT201
    IVEE301Digital Electronics3-0-0-3EE203
    IVEE302Electrical Machines3-0-0-3EE201
    IVEE303Power Electronics3-0-0-3EE202
    IVEE304Communication Systems3-0-0-3EE203
    IVLAB202Digital Electronics Lab0-0-2-2-
    VEE401Power Systems Analysis3-0-0-3EE302
    VEE402Microprocessors and Microcontrollers3-0-0-3EE301
    VEE403Embedded Systems3-0-0-3EE301
    VEE404Renewable Energy Sources3-0-0-3-
    VLAB301Power Systems Lab0-0-2-2-
    VIEE501Industrial Automation3-0-0-3EE402
    VIEE502VLSI Design3-0-0-3EE301
    VIEE503Smart Grid Technologies3-0-0-3EE401
    VIEE504Artificial Intelligence in Electrical Engineering3-0-0-3-
    VILAB302Embedded Systems Lab0-0-2-2-
    VIIEE601Advanced Control Systems3-0-0-3EE404
    VIIEE602RF and Microwave Engineering3-0-0-3EE201
    VIIEE603Signal Processing Applications3-0-0-3EE203
    VIIEE604Electromagnetic Compatibility3-0-0-3EE201
    VIILAB401Advanced Lab Session0-0-2-2-
    VIIIEE701Capstone Project0-0-6-6-
    VIIIEE702Research Methodology3-0-0-3-
    VIIIEE703Elective I3-0-0-3-
    VIIIEE704Elective II3-0-0-3-
    VIIIEE705Mini Project0-0-6-6-

    Advanced Departmental Electives

    The following advanced departmental elective courses are offered in the final years of the program:

    • Power System Protection and Stability: This course covers protection schemes for power systems, stability analysis, and fault calculation techniques. Students learn to design protective relays and analyze system behavior under various fault conditions.
    • Advanced Power Electronics: Focuses on high-frequency converters, resonant converters, and soft-switching techniques. The course includes practical sessions on designing power supplies for renewable energy systems.
    • Wireless Communication Systems: Covers modern wireless technologies including 4G/5G networks, Wi-Fi standards, satellite communications, and IoT protocols. Students implement communication systems using software-defined radios.
    • Neural Networks and Deep Learning for Signal Processing: Integrates machine learning concepts with signal processing applications. Students work on projects involving image recognition, speech processing, and pattern classification.
    • Advanced Microcontroller Applications: Builds upon basic microcontroller programming to cover advanced architectures, real-time operating systems, and embedded software design principles.
    • Energy Storage Technologies: Explores various battery technologies, supercapacitors, and hybrid storage systems. Students evaluate performance metrics and economic viability of different energy storage solutions.
    • Automation in Manufacturing Systems: Focuses on industrial robotics, PLC programming, and automation control strategies for manufacturing environments.
    • Electromagnetic Compatibility Design: Teaches students to design electronic systems that comply with EMC regulations. Topics include EMI/EMC testing procedures, shielding techniques, and regulatory standards.
    • Smart Grids and Demand Response: Addresses smart grid architecture, demand response programs, and integration of distributed energy resources into the power system.
    • Advanced Embedded Systems Architecture: Explores advanced embedded platforms including ARM Cortex-A series processors, real-time operating systems, and hardware-software co-design methodologies.

    Project-Based Learning Philosophy

    Our approach to project-based learning emphasizes practical application of theoretical concepts, teamwork, and innovation. The program incorporates two types of projects: mini-projects and final-year capstone projects.

    Mini Projects (Semester VII): Students work in teams of 3-5 members on a defined problem statement related to their chosen specialization track. These projects typically last 6-8 weeks and involve designing, prototyping, testing, and documenting a solution. Evaluation criteria include project design quality, implementation skills, teamwork, presentation, and documentation.

    Final-Year Capstone Project (Semester VIII): This is the most significant component of the program, lasting 12-14 weeks. Students select a research topic or industrial challenge in consultation with faculty mentors. The project involves extensive literature review, experimental design, data collection and analysis, and presentation to an evaluation committee.

    Students are encouraged to choose projects that align with their career interests or address real-world problems. Faculty mentors guide students throughout the process, providing expertise and feedback on technical aspects and research methodologies.

    The project selection process involves a proposal submission phase where students present their ideas and receive guidance from advisors. Projects may be selected from industry partners, government agencies, or academic research areas. The goal is to produce work that contributes meaningfully to knowledge or solves practical problems.