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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electronics Engineering

    K L Polytechnic
    Duration
    4 Years
    Electronics UG OFFLINE

    Duration

    4 Years

    Electronics Engineering

    K L Polytechnic
    Duration
    Apply

    Fees

    ₹12,00,000

    Placement

    95.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹25,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electronics
    UG
    OFFLINE

    Fees

    ₹12,00,000

    Placement

    95.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹25,00,000

    Seats

    120

    Students

    1,200

    ApplyCollege

    Seats

    120

    Students

    1,200

    Curriculum

    Course Structure Overview

    The Electronics Engineering program at K L Polytechnic is structured over 8 semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory sessions designed to provide comprehensive technical knowledge and practical skills.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
    IEC101Engineering Mathematics I3-1-0-4-
    IEC102Basic Electrical Engineering3-1-0-4-
    IEC103Introduction to Programming3-1-0-4-
    IEC104Engineering Graphics2-1-0-3-
    IEC105Physics for Electronics3-1-0-4-
    IEC106Chemistry for Engineers3-1-0-4-
    IIEC201Engineering Mathematics II3-1-0-4EC101
    IIEC202Electronic Devices and Circuits3-1-0-4EC102
    IIEC203Signals and Systems3-1-0-4EC101
    IIEC204Electromagnetic Fields3-1-0-4EC105
    IIEC205Computer Programming Laboratory0-0-3-1-
    IIIEC301Digital Logic Design3-1-0-4EC202
    IIIEC302Analog Circuits3-1-0-4EC202
    IIIEC303Control Systems3-1-0-4EC203
    IIIEC304Communication Systems3-1-0-4EC203
    IIIEC305Digital Electronics Laboratory0-0-3-1-
    IVEC401Microprocessor and Microcontroller3-1-0-4EC301
    IVEC402Digital Signal Processing3-1-0-4EC303
    IVEC403Electronics Design and Simulation3-1-0-4EC202
    IVEC404Antenna and Wave Propagation3-1-0-4EC204
    IVEC405Embedded Systems Laboratory0-0-3-1-
    VEC501VLSI Design3-1-0-4EC302
    VEC502Power Electronics3-1-0-4EC202
    VEC503Wireless Communication3-1-0-4EC304
    VEC504Biomedical Electronics3-1-0-4EC202
    VEC505System Design Laboratory0-0-3-1-
    VIEC601Artificial Intelligence and Machine Learning3-1-0-4EC402
    VIEC602Renewable Energy Systems3-1-0-4EC204
    VIEC603Advanced Communication Techniques3-1-0-4EC304
    VIEC604Robotics and Automation3-1-0-4EC303
    VIEC605Capstone Project Lab0-0-6-2-
    VIIEC701Research Methodology and Ethics3-0-0-3-
    VIIEC702Advanced Topics in Electronics3-1-0-4EC501
    VIIEC703Project Management and Innovation3-1-0-4-
    VIIEC704Internship in Industry0-0-0-6-
    VIIIEC801Final Year Thesis Project0-0-12-4-
    VIIIEC802Electronics Workshop0-0-3-1-

    Advanced Departmental Electives

    Digital Signal Processing (DSP): This course introduces students to the mathematical tools and algorithms used in signal processing. Students learn about sampling, filtering, transforms, and applications in audio, image, and video systems.

    Control Systems: Students study feedback control theory, transfer functions, block diagrams, and stability analysis techniques. The course includes practical implementation of controllers using MATLAB/Simulink.

    Wireless Communication: This elective covers propagation models, modulation schemes, multiple access techniques, and cellular network architectures. Emphasis is placed on 4G/5G technologies and their applications.

    VLSI Design: Students explore the design and implementation of integrated circuits using HDL languages like Verilog and VHDL. Topics include logic synthesis, layout design, and testing strategies.

    Power Electronics: This course deals with power conversion systems including rectifiers, inverters, DC-DC converters, and AC-AC converters. Students study semiconductor switches, soft switching techniques, and applications in renewable energy systems.

    Biomedical Electronics: The focus is on electronic devices used in medical diagnostics and therapy. Students learn about bio-sensors, electrocardiogram (ECG) monitoring, magnetic resonance imaging (MRI), and implantable devices.

    Artificial Intelligence and Machine Learning: This elective introduces students to neural networks, deep learning frameworks, computer vision, and natural language processing. Practical sessions involve implementing models using TensorFlow and PyTorch.

    Robotics and Automation: Students study robot kinematics, dynamics, control systems, and sensor integration. Projects include building autonomous robots and simulating industrial automation scenarios.

    Renewable Energy Systems: This course covers solar panels, wind turbines, energy storage systems, and grid integration strategies. Students gain hands-on experience in designing small-scale renewable energy installations.

    Embedded Systems: Focuses on designing systems that integrate hardware and software components. Topics include microcontroller programming, real-time operating systems, and IoT protocols.

    Project-Based Learning Philosophy

    K L Polytechnic's approach to project-based learning is rooted in fostering innovation, collaboration, and problem-solving skills among students. The program emphasizes both mini-projects and a final-year thesis/capstone project.

    Mini-Projects: Students engage in mini-projects during their second and third years to reinforce theoretical concepts through practical application. These projects are evaluated based on design quality, implementation, documentation, and presentation skills.

    Final-Year Thesis/Capstone Project: The capstone project is a comprehensive endeavor that spans the entire final year. Students select a topic aligned with their interests or industry needs, work under faculty supervision, and produce a detailed report and working prototype.

    The selection process involves faculty mentorship, proposal submission, progress tracking, and final evaluation. Students are encouraged to collaborate with industry partners or research institutions for enhanced learning outcomes.