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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electrical Engineering

    Institute of Engineering Jiwaji University Gwalior
    Duration
    4 Years
    Electrical Engineering UG OFFLINE

    Duration

    4 Years

    Electrical Engineering

    Institute of Engineering Jiwaji University Gwalior
    Duration
    Apply

    Fees

    ₹6,00,000

    Placement

    93.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electrical Engineering
    UG
    OFFLINE

    Fees

    ₹6,00,000

    Placement

    93.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    Seats

    120

    Students

    300

    ApplyCollege

    Seats

    120

    Students

    300

    Curriculum

    Course Structure Overview

    The electrical engineering program at Institute of Engineering Jiwaji University Gwalior is structured over eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory components. Each semester includes foundational courses followed by increasingly specialized topics that build upon previous knowledge.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
    1ENG101Engineering Mathematics I3-1-0-4-
    1ENG102Engineering Physics3-1-0-4-
    1ENG103Basic Electrical Engineering3-1-0-4-
    1ENG104Engineering Graphics2-0-0-2-
    1ENG105Computer Programming3-1-0-4-
    1ENG106English for Engineers2-0-0-2-
    1LAB101Basic Electrical Lab0-0-3-1-
    1LAB102Programming Lab0-0-3-1-
    2ENG201Engineering Mathematics II3-1-0-4ENG101
    2ENG202Electronic Devices & Circuits3-1-0-4ENG102
    2ENG203Signals & Systems3-1-0-4ENG101
    2ENG204Electromagnetic Fields3-1-0-4ENG102
    2ENG205Digital Logic Design3-1-0-4-
    2LAB201Electronic Circuits Lab0-0-3-1-
    2LAB202Digital Logic Design Lab0-0-3-1-
    3ENG301Control Systems3-1-0-4ENG203
    3ENG302Power Electronics3-1-0-4ENG202
    3ENG303Communication Systems3-1-0-4ENG203
    3ENG304Microprocessor & Microcontroller3-1-0-4ENG205
    3ENG305Electrical Machines3-1-0-4ENG202
    3LAB301Control Systems Lab0-0-3-1-
    3LAB302Power Electronics Lab0-0-3-1-
    4ENG401Power System Analysis3-1-0-4ENG305
    4ENG402Renewable Energy Systems3-1-0-4ENG301
    4ENG403Embedded Systems3-1-0-4ENG304
    4ENG404Advanced Signal Processing3-1-0-4ENG203
    4ENG405Industrial Automation3-1-0-4ENG301
    4LAB401Power Systems Lab0-0-3-1-
    4LAB402Embedded Systems Lab0-0-3-1-
    5ENG501Smart Grid Technologies3-1-0-4ENG401
    5ENG502Artificial Intelligence in Electrical Engineering3-1-0-4ENG404
    5ENG503Advanced Control Systems3-1-0-4ENG301
    5ENG504Electromagnetic Compatibility3-1-0-4ENG204
    5ENG505Energy Storage Systems3-1-0-4ENG402
    6ENG601Advanced Power Electronics3-1-0-4ENG302
    6ENG602Robotics & Automation3-1-0-4ENG503
    6ENG603Power System Protection3-1-0-4ENG401
    6ENG604IoT and Wireless Communications3-1-0-4ENG303
    7ENG701Research Methodology2-0-0-2-
    7ENG702Capstone Project I3-0-0-3-
    8ENG801Capstone Project II6-0-0-6ENG702

    Advanced Departmental Electives

    Departmental electives are offered to help students specialize in areas of interest and gain deeper knowledge in specific domains:

    • Smart Grid Technologies: This course explores the integration of renewable energy sources, advanced metering infrastructure, and demand response management systems. Students learn about grid stability analysis, voltage regulation strategies, and the role of smart inverters in distributed generation.
    • Artificial Intelligence in Electrical Engineering: Designed to bridge AI and electrical engineering, this course covers machine learning algorithms applied to power systems, neural networks for signal processing, and deep learning techniques for fault detection and classification in industrial settings.
    • Advanced Power Electronics: Covers advanced topics such as resonant converters, multi-level inverters, and wide bandgap semiconductor devices. Students gain expertise in designing efficient power conversion systems for electric vehicles, renewable energy applications, and high-power electronics.
    • Robotics & Automation: Focuses on robot kinematics, dynamics, sensor integration, control algorithms, and industrial automation technologies. The course includes hands-on projects involving mobile robots, robotic arms, and automated manufacturing processes.
    • Power System Protection: Introduces protective relaying systems, fault analysis methods, and protection coordination strategies in electrical power systems. Students learn to design and implement protection schemes for transformers, transmission lines, and distribution networks.
    • IoT and Wireless Communications: Explores wireless sensor networks, IoT protocols, data transmission techniques, and embedded communication systems. Students build prototype networks using LoRaWAN, Zigbee, and WiFi technologies for smart city applications.
    • Energy Storage Systems: Covers battery technologies, supercapacitors, fuel cells, and hybrid energy storage solutions. The course addresses system design, performance optimization, and integration challenges in renewable energy systems.
    • Electromagnetic Compatibility: Addresses electromagnetic interference issues, shielding techniques, EMI testing procedures, and compliance standards for electronic devices. Students learn to analyze and mitigate EMI problems in various applications including automotive, aerospace, and consumer electronics.
    • Advanced Control Systems: Builds upon control theory concepts by introducing advanced topics such as state-space representation, robust control, optimal control, and adaptive control systems. Applications include aerospace, robotics, and process control industries.
    • Renewable Energy Integration: Focuses on integrating renewable energy sources into existing power grids, addressing intermittency issues, and optimizing energy management strategies. Students engage in case studies involving solar, wind, and hydroelectric systems.

    Project-Based Learning Philosophy

    The department emphasizes project-based learning as a core component of the curriculum. From the second year onward, students are encouraged to engage in both mini-projects and capstone projects that simulate real-world engineering challenges.

    Mini-projects are conducted during the third and fourth semesters. These projects typically involve small teams of 3-5 students working on a specific problem under faculty supervision. The evaluation criteria include design documentation, implementation progress, presentation quality, and peer feedback.

    The final-year thesis/capstone project is a significant undertaking that spans the entire eighth semester. Students select their projects in consultation with faculty mentors based on current industry trends or research interests. Projects are often inspired by real-world challenges posed by industry partners or national initiatives such as Smart Cities Mission, National Energy Policy, or Digital India.

    The department provides dedicated project spaces equipped with prototyping tools, software licenses, and access to industry-standard equipment. Faculty mentors guide students through the entire process—from concept formulation to final implementation—ensuring that projects meet academic rigor while maintaining relevance to industry needs.