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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electronics

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

    Duration

    4 Years

    Electronics

    Balwant Singh Mukhiya Bsm College Of Engineering
    Duration
    Apply

    Fees

    ₹2,00,000

    Placement

    92.0%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electronics
    UG
    OFFLINE

    Fees

    ₹2,00,000

    Placement

    92.0%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,00,000

    Seats

    120

    Students

    120

    ApplyCollege

    Seats

    120

    Students

    120

    Curriculum

    Electronics Curriculum Overview

    The Electronics program at Balwant Singh Mukhiya Bsm College Of Engineering is structured to provide a comprehensive understanding of electronic principles and applications across multiple domains. The curriculum spans eight semesters, with each semester carefully designed to build upon previous knowledge while introducing new concepts and practical skills.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    1EE101Mathematics I3-1-0-4-
    1EE102Physics for Electronics3-1-0-4-
    1EE103Chemistry for Electronics3-1-0-4-
    1EE104Engineering Drawing & Graphics2-0-0-2-
    1EE105Basic Electrical Engineering3-1-0-4-
    1EE106Programming & Problem Solving2-0-2-3-
    2EE201Mathematics II3-1-0-4EE101
    2EE202Electromagnetic Field Theory3-1-0-4EE102
    2EE203Digital Logic Design3-1-0-4EE105
    2EE204Electronic Devices & Circuits3-1-0-4EE105
    2EE205Signals & Systems3-1-0-4EE101
    2EE206Computer Programming Lab0-0-2-1-
    3EE301Mathematics III3-1-0-4EE201
    3EE302Analog Electronic Circuits3-1-0-4EE204
    3EE303Digital Electronics3-1-0-4EE203
    3EE304Microprocessor & Microcontroller3-1-0-4EE203
    3EE305Control Systems3-1-0-4EE205
    3EE306Analog & Digital Lab0-0-2-1-
    4EE401Probability & Statistics3-1-0-4EE201
    4EE402Communication Systems3-1-0-4EE205
    4EE403VLSI Design3-1-0-4EE303
    4EE404Power Electronics3-1-0-4EE302
    4EE405Electromagnetic Wave Propagation3-1-0-4EE202
    4EE406VLSI & Embedded Systems Lab0-0-2-1-
    5EE501Advanced Signal Processing3-1-0-4EE305
    5EE502Wireless Communication3-1-0-4EE402
    5EE503Pattern Recognition3-1-0-4EE401
    5EE504Image Processing3-1-0-4EE401
    5EE505Antenna & Microwave Engineering3-1-0-4EE405
    5EE506Signal Processing Lab0-0-2-1-
    6EE601Machine Learning3-1-0-4EE503
    6EE602Neural Networks3-1-0-4EE601
    6EE603Renewable Energy Systems3-1-0-4EE404
    6EE604Semiconductor Devices3-1-0-4EE302
    6EE605Optoelectronics3-1-0-4EE402
    6EE606Advanced Communication Lab0-0-2-1-
    7EE701Capstone Project I2-0-0-2EE601, EE603
    7EE702Internship0-0-0-4-
    8EE801Capstone Project II2-0-0-2EE701
    8EE802Research Thesis0-0-0-6-

    Advanced Departmental Electives

    Several advanced departmental elective courses are offered in the later semesters to provide students with deeper insights into specialized areas of electronics. These include:

    • Pattern Recognition: This course explores algorithms and methodologies for pattern recognition, including machine learning techniques, statistical models, and neural networks.
    • Neural Networks: Students learn about the architecture, training methods, and applications of artificial neural networks in various domains such as image processing, natural language processing, and data mining.
    • Renewable Energy Systems: This course focuses on the integration of renewable energy sources into the power grid, including solar panels, wind turbines, and battery storage systems.
    • Semiconductor Devices: A detailed study of semiconductor physics, device structures, and fabrication processes, preparing students for careers in semiconductor manufacturing and design.
    • Optoelectronics: An exploration of optical devices such as lasers, photodiodes, and LEDs, with applications in telecommunications, sensing, and display technologies.

    Project-Based Learning Philosophy

    The department strongly believes in project-based learning as a means to foster critical thinking, innovation, and practical application of knowledge. Students are encouraged to work on projects from the early stages of their academic journey. The mandatory mini-projects in the second and third years provide foundational experience, while the final-year thesis/capstone project allows students to engage in comprehensive research or development initiatives.

    Mini-Projects Structure

    Mini-projects are assigned during the second and third semesters. Each project has a specific duration of 3-4 weeks, involving teams of 3-5 students. Projects are selected based on student interests and aligned with faculty expertise. The evaluation includes both technical performance and presentation skills.

    Final-Year Thesis/Capstone Project

    The final-year capstone project is a significant component of the program. Students work individually or in small teams under the guidance of faculty mentors to address real-world problems. The project involves literature review, methodology development, experimentation, analysis, and documentation. Students present their findings at an annual symposium, providing an opportunity for peer feedback and recognition.