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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electronics Engineering

    SHA SHIB COLLEGE OF TECHNOLOGY
    Duration
    4 Years
    Electronics Engineering UG OFFLINE

    Duration

    4 Years

    Electronics Engineering

    SHA SHIB COLLEGE OF TECHNOLOGY
    Duration
    Apply

    Fees

    ₹5,00,000

    Placement

    92.5%

    Avg Package

    ₹80,00,000

    Highest Package

    ₹1,20,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electronics Engineering
    UG
    OFFLINE

    Fees

    ₹5,00,000

    Placement

    92.5%

    Avg Package

    ₹80,00,000

    Highest Package

    ₹1,20,00,000

    Seats

    180

    Students

    2,000

    ApplyCollege

    Seats

    180

    Students

    2,000

    Curriculum

    Course Structure Overview

    The Electronics Engineering program at SHA SHIB COLLEGE OF TECHNOLOGY is structured over 8 semesters, ensuring a progressive and comprehensive learning journey. The curriculum balances foundational theory with practical application through lab work and project-based assignments.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    1ENG101Engineering Mathematics I3-1-0-4-
    1PHY101Physics for Engineers3-1-0-4-
    1ECE101Introduction to Electronics3-0-0-3-
    1CSE101Computer Programming2-0-2-3-
    1ENG102Engineering Drawing1-0-0-1-
    1LIT101English for Engineers2-0-0-2-
    2ENG103Engineering Mathematics II3-1-0-4ENG101
    2PHY102Modern Physics3-1-0-4PHY101
    2ECE102Circuit Analysis3-1-0-4ECE101
    2ECE103Digital Logic Design3-1-0-4ECE101
    2CSE102Data Structures and Algorithms2-0-2-3CSE101
    2ECE104Electronics Devices and Circuits3-1-0-4ECE101
    3ENG201Signals and Systems3-1-0-4ENG103
    3ECE201Electromagnetic Fields3-1-0-4PHY102
    3ECE202Microprocessors and Microcontrollers3-1-0-4ECE103
    3ECE203VLSI Design3-1-0-4ECE104
    3CSE201Operating Systems2-0-2-3CSE102
    3ECE204Electronic Measurements and Instrumentation3-1-0-4ECE104
    4ECE301Digital Signal Processing3-1-0-4ENG201
    4ECE302Communication Systems3-1-0-4ECE201
    4ECE303Control Systems3-1-0-4ENG201
    4ECE304Embedded Systems3-1-0-4ECE202
    4CSE301Database Management Systems2-0-2-3CSE201
    4ECE305Antennas and Wave Propagation3-1-0-4ECE201
    5ECE401Wireless Communication3-1-0-4ECE302
    5ECE402Power Electronics3-1-0-4ECE201
    5ECE403Neural Networks and Deep Learning3-1-0-4ECE301
    5ECE404RF and Microwave Engineering3-1-0-4ECE305
    5ECE405Optoelectronics3-1-0-4ECE201
    5ECE406Advanced Embedded Systems3-1-0-4ECE404
    6ECE501System-on-Chip Design3-1-0-4ECE303
    6ECE502Advanced VLSI Testing3-1-0-4ECE303
    6ECE503Quantum Electronics3-1-0-4ECE201
    6ECE504Robotics and Automation3-1-0-4ECE303
    6ECE505Semiconductor Device Physics3-1-0-4ECE104
    6ECE506IoT Security3-1-0-4ECE402
    7ECE601Capstone Project I0-0-6-6-
    7ECE602Research Methodology2-0-0-2-
    8ECE701Capstone Project II0-0-6-6ECE601
    8ECE702Industrial Training0-0-0-3-

    Detailed Departmental Elective Courses

    Advanced courses in Electronics Engineering offer specialized knowledge and practical skills that align with industry trends and emerging technologies. Here are descriptions of key departmental electives:

    • Digital Signal Processing: This course explores the mathematical foundations of digital signal processing, including filtering, transforms, and spectral analysis. Students learn to implement DSP algorithms using MATLAB and ARM-based processors.
    • Wireless Communication: Covers modern wireless communication standards such as 5G, LTE, and Wi-Fi. Topics include modulation schemes, channel coding, and multiple access techniques.
    • Power Electronics: Focuses on the design and application of power electronic converters used in renewable energy systems, electric vehicles, and industrial drives.
    • Neural Networks and Deep Learning: Introduces students to machine learning concepts with emphasis on neural networks, convolutional networks, and reinforcement learning.
    • RF and Microwave Engineering: Explores the principles of radio frequency circuits and microwave systems. Students gain hands-on experience in designing antennas, transmission lines, and filters.
    • Optoelectronics: Examines the interaction between light and electronic devices. Applications include lasers, photodetectors, and optical communication systems.
    • Embedded Systems: Teaches students to design embedded software and hardware solutions for real-time applications such as automotive systems, medical devices, and smart homes.
    • Control Systems: Provides a comprehensive understanding of feedback control systems, stability analysis, and controller design using classical and modern methods.
    • VLSI Testing: Focuses on testing strategies for integrated circuits. Students learn about fault modeling, test generation, and built-in self-test techniques.
    • Quantum Electronics: Explores quantum mechanical principles applied to electronic devices. Topics include quantum dots, superconductivity, and quantum computing architectures.

    Project-Based Learning Philosophy

    At SHA SHIB COLLEGE OF TECHNOLOGY, project-based learning is at the heart of the Electronics Engineering curriculum. This approach fosters creativity, teamwork, and real-world problem-solving skills. Students are introduced to mini-projects in their second year, which evolve into capstone projects in their final year.

    Mini-projects are designed to allow students to apply theoretical knowledge in practical settings. They typically involve designing a circuit, developing an embedded system, or implementing a software tool. These projects are evaluated based on design documentation, prototype demonstration, and peer reviews.

    The final-year thesis project is a culmination of the student's learning journey. It requires students to select a topic under faculty supervision, conduct independent research, and deliver a comprehensive report. The project may lead to publications, patents, or startup ventures. Faculty mentors are selected based on expertise in the chosen domain, ensuring guidance and support throughout the process.