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    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electrical

    Balwant Singh Mukhiya Bsm College Of Engineering
    Duration
    4 Years
    Electrical UG OFFLINE

    Duration

    4 Years

    Electrical

    Balwant Singh Mukhiya Bsm College Of Engineering
    Duration
    Apply

    Fees

    ₹3,50,000

    Placement

    92.0%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electrical
    UG
    OFFLINE

    Fees

    ₹3,50,000

    Placement

    92.0%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,00,000

    Seats

    120

    Students

    1,200

    ApplyCollege

    Seats

    120

    Students

    1,200

    Curriculum

    Comprehensive Course Listing Across 8 Semesters

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    1ENG101Engineering Mathematics I3-1-0-4-
    1PHY101Physics for Engineers3-1-0-4-
    1CHM101Chemistry for Engineers3-1-0-4-
    1CSE101Computer Programming2-0-2-3-
    1ELE101Basic Electrical Engineering3-1-0-4-
    1ENG102Engineering Graphics and Design2-1-0-3-
    1ENG103Communication Skills2-0-0-2-
    2ENG201Engineering Mathematics II3-1-0-4ENG101
    2ELE201Circuit Analysis3-1-0-4ELE101
    2ELE202Electromagnetic Fields3-1-0-4PHY101
    2ELE203Digital Logic Design3-1-0-4CSE101
    2ELE204Signals and Systems3-1-0-4ENG201
    2ELE205Electrical Machines I3-1-0-4ELE101
    2ENG202Workshop Practice0-0-2-1-
    3ELE301Power System Analysis3-1-0-4ELE201
    3ELE302Control Systems3-1-0-4ELE204
    3ELE303Microprocessors and Microcontrollers3-1-0-4CSE101
    3ELE304Electromagnetic Compatibility3-1-0-4ELE202
    3ELE305Analog Electronics3-1-0-4ELE201
    3ELE306Communication Systems3-1-0-4ELE204
    4ELE401Power Electronics and Drives3-1-0-4ELE305
    4ELE402Renewable Energy Systems3-1-0-4ELE301
    4ELE403Embedded Systems3-1-0-4ELE303
    4ELE404Advanced Control Systems3-1-0-4ELE302
    4ELE405Digital Signal Processing3-1-0-4ELE204
    4ELE406Artificial Intelligence in Electrical Engineering3-1-0-4ELE303
    5ELE501Smart Grid Technologies3-1-0-4ELE301
    5ELE502RF Engineering and Antenna Design3-1-0-4ELE202
    5ELE503Nanoelectronics and VLSI Design3-1-0-4ELE305
    5ELE504Wireless Communication Systems3-1-0-4ELE306
    5ELE505Power System Protection3-1-0-4ELE301
    5ELE506Industrial Automation3-1-0-4ELE302
    6ELE601Energy Storage Systems3-1-0-4ELE402
    6ELE602Advanced Microprocessors3-1-0-4ELE303
    6ELE603Motion Control Systems3-1-0-4ELE302
    6ELE604Wireless Sensor Networks3-1-0-4ELE306
    6ELE605Machine Learning for Electrical Systems3-1-0-4ELE406
    7ELE701Research Methodology2-0-0-2-
    7ELE702Capstone Project I0-0-4-4ELE605
    8ELE801Capstone Project II0-0-6-6ELE702

    Detailed Descriptions of Advanced Departmental Electives

    Power Electronics and Drives: This course explores the principles and applications of power electronics converters, inverters, rectifiers, and motor drives. Students study the design and implementation of switching circuits used in electric vehicles, renewable energy systems, and industrial automation.

    Renewable Energy Systems: Focused on solar, wind, hydroelectric, and geothermal energy sources, this course covers system design, integration challenges, grid compatibility, and economic analysis. Students work on projects involving solar panel arrays, wind turbine modeling, and microgrid configurations.

    Embedded Systems: This elective teaches students how to design embedded software systems using microcontrollers, real-time operating systems, and hardware-software co-design techniques. Projects include developing smart sensors, home automation systems, and mobile robotics platforms.

    Advanced Control Systems: Building upon introductory control theory, this course delves into nonlinear control, adaptive control, robust control, and optimal control methods. Students learn to model complex dynamic systems and design controllers for aerospace, automotive, and industrial applications.

    Digital Signal Processing: This course covers discrete-time signal processing techniques including Fourier transforms, filter design, and spectral analysis. Applications include audio processing, biomedical signal analysis, radar systems, and image enhancement algorithms.

    Artificial Intelligence in Electrical Engineering: Integrating AI tools with electrical engineering problems, this course focuses on neural networks, deep learning, reinforcement learning, and their applications in power system optimization, fault diagnosis, and smart grid management.

    Smart Grid Technologies: This subject explores modern grid infrastructure including smart meters, demand response systems, energy storage integration, and grid stability enhancement techniques. Students examine real-world case studies from utilities like Tata Power and BHEL.

    RF Engineering and Antenna Design: Designed for students interested in wireless communications, this course covers electromagnetic wave propagation, antenna radiation patterns, transmission lines, and microwave circuit design. Practical lab sessions involve designing and testing antennas for different applications.

    Nanoelectronics and VLSI Design: This advanced topic introduces semiconductor device physics, CMOS technology, digital integrated circuit design, and FPGA-based systems. Students gain experience in CAD tools like Cadence and Synopsys while building custom chips for specific functions.

    Wireless Communication Systems: Covering modulation schemes, channel coding, multiple access techniques, and wireless network protocols, this course provides theoretical understanding and practical insights into modern communication standards such as 5G and Wi-Fi.

    Project-Based Learning Philosophy

    Our department places significant emphasis on project-based learning to ensure students acquire both technical competence and real-world problem-solving skills. The approach integrates classroom knowledge with hands-on experience, encouraging creativity and innovation in engineering design.

    The mandatory Mini-Projects are undertaken during the third and fourth years of study. These projects typically last 6–8 weeks and involve teams of 3–5 students working under faculty supervision. Topics range from developing a prototype for an energy-efficient lighting system to designing a low-cost water quality monitoring device.

    The final-year Capstone Project is the most comprehensive component of our curriculum. Students select a research topic aligned with their specialization and work closely with a faculty mentor for 12–14 weeks. The project must demonstrate originality, technical depth, and practical relevance. Evaluation includes progress reports, oral presentations, and a final written thesis.

    Faculty mentors are selected based on expertise in the relevant domain. Each student is assigned one primary supervisor and may collaborate with secondary experts from other departments or external institutions. Regular meetings and milestone reviews ensure project alignment with academic standards and industry expectations.