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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Engineering

    Sanjay Ghodawat University Kolhapur
    Duration
    4 Years
    Engineering UG OFFLINE

    Duration

    4 Years

    Engineering

    Sanjay Ghodawat University Kolhapur
    Duration
    Apply

    Fees

    ₹5,00,000

    Placement

    95.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹15,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Engineering
    UG
    OFFLINE

    Fees

    ₹5,00,000

    Placement

    95.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹15,00,000

    Seats

    120

    Students

    1,200

    ApplyCollege

    Seats

    120

    Students

    1,200

    Curriculum

    Comprehensive Course Structure

    The engineering program at Sanjay Ghodawat University Kolhapur is structured to provide students with a comprehensive academic experience that balances theoretical knowledge with practical application. The curriculum spans eight semesters and includes core courses, departmental electives, science electives, and laboratory sessions designed to build technical expertise and innovation skills.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
    1ENG101Engineering Mathematics I3-1-0-4-
    1ENG102Physics for Engineers3-1-0-4-
    1ENG103Chemistry for Engineers3-1-0-4-
    1ENG104Introduction to Engineering2-0-0-2-
    1ENG105Programming and Problem Solving3-1-0-4-
    1ENG106Engineering Graphics2-1-0-3-
    1ENG107Workshop Practice0-0-2-1-
    2ENG201Engineering Mathematics II3-1-0-4ENG101
    2ENG202Electrical Circuits and Networks3-1-0-4-
    2ENG203Mechanics of Materials3-1-0-4-
    2ENG204Engineering Thermodynamics3-1-0-4-
    2ENG205Fluid Mechanics3-1-0-4-
    2ENG206Materials Science3-1-0-4-
    2ENG207Computer Programming Lab0-0-2-1ENG105
    3ENG301Signals and Systems3-1-0-4ENG201
    3ENG302Digital Logic Design3-1-0-4-
    3ENG303Control Systems3-1-0-4ENG201
    3ENG304Electromagnetic Fields3-1-0-4-
    3ENG305Strength of Materials3-1-0-4ENG203
    3ENG306Manufacturing Processes3-1-0-4-
    3ENG307Electrical Machines Lab0-0-2-1ENG202
    4ENG401Probability and Statistics3-1-0-4ENG201
    4ENG402Communication Systems3-1-0-4ENG301
    4ENG403Microprocessors and Microcontrollers3-1-0-4-
    4ENG404Structural Analysis3-1-0-4ENG203
    4ENG405Heat Transfer3-1-0-4ENG204
    4ENG406Design of Machine Elements3-1-0-4ENG305
    4ENG407Computer Architecture Lab0-0-2-1ENG302
    5ENG501Advanced Mathematics3-1-0-4ENG201
    5ENG502Computer Networks3-1-0-4-
    5ENG503Power Systems3-1-0-4-
    5ENG504Structural Design3-1-0-4ENG404
    5ENG505Refrigeration and Air Conditioning3-1-0-4-
    5ENG506Advanced Manufacturing Processes3-1-0-4ENG306
    5ENG507Power Electronics Lab0-0-2-1ENG202
    6ENG601Artificial Intelligence and Machine Learning3-1-0-4-
    6ENG602Cybersecurity Fundamentals3-1-0-4-
    6ENG603Sustainable Energy Systems3-1-0-4-
    6ENG604Biomedical Engineering3-1-0-4-
    6ENG605Nanotechnology and Materials Science3-1-0-4-
    6ENG606Robotics and Automation3-1-0-4-
    6ENG607Advanced Control Systems Lab0-0-2-1ENG303
    7ENG701Capstone Project I2-0-4-6-
    7ENG702Specialized Elective Course 13-1-0-4-
    7ENG703Specialized Elective Course 23-1-0-4-
    7ENG704Research Methodology2-0-0-2-
    7ENG705Professional Ethics and Social Responsibility2-0-0-2-
    8ENG801Capstone Project II4-0-6-10ENG701
    8ENG802Specialized Elective Course 33-1-0-4-
    8ENG803Specialized Elective Course 43-1-0-4-
    8ENG804Industrial Training0-0-0-6-
    8ENG805Final Year Project0-0-6-12ENG701

    Advanced Departmental Elective Courses

    The advanced departmental elective courses offered in the engineering program at Sanjay Ghodawat University Kolhapur are designed to provide students with specialized knowledge and skills in emerging technologies. These courses are taught by leading faculty members who are experts in their respective fields.

    Artificial Intelligence and Machine Learning (AI/ML) is a cutting-edge field that combines statistics, computer science, and domain expertise to develop intelligent systems. This course covers topics such as neural networks, deep learning, natural language processing, computer vision, and reinforcement learning. Students will work on projects involving real-world applications such as image recognition, speech synthesis, and autonomous systems.

    Cybersecurity Fundamentals introduces students to the principles and practices of information security. The course covers network security, cryptography, system security, and ethical hacking. Students will gain hands-on experience with security tools and techniques used in industry.

    Sustainable Energy Systems explores renewable energy technologies such as solar, wind, hydroelectric, and geothermal power generation. Students will study the design and optimization of energy systems, energy storage technologies, and environmental impact assessment methods.

    Biomedical Engineering combines engineering principles with medical and biological sciences to design healthcare solutions. This course covers topics such as medical device design, biomechanics, tissue engineering, and bioinformatics. Students will work on projects involving the development of assistive devices and health monitoring systems.

    Nanotechnology and Materials Science focuses on the study of materials at the atomic and molecular level. The course covers nanomaterial synthesis, characterization techniques, and applications in electronics, medicine, and environmental remediation.

    Robotics and Automation deals with the design and implementation of robotic systems for industrial and commercial applications. Students will study control systems, sensor integration, autonomous navigation, and machine learning applications in robotics.

    Advanced Control Systems covers advanced topics in control theory and its applications in engineering systems. The course includes state-space analysis, optimal control, robust control, and adaptive control techniques.

    Power Electronics and Drives introduces students to power conversion systems and motor drives. The course covers rectifiers, inverters, DC-DC converters, and motor control strategies.

    Data Structures and Algorithms is a fundamental course that covers advanced data structures such as trees, graphs, hash tables, and algorithms for sorting, searching, and optimization.

    Software Engineering Principles focuses on the systematic approach to software development including requirements analysis, design patterns, testing, and project management.

    Advanced Thermodynamics and Heat Transfer covers advanced concepts in thermodynamic cycles, heat transfer mechanisms, and their applications in engineering systems.

    Advanced Fluid Mechanics explores complex fluid flow phenomena, turbulence modeling, and computational fluid dynamics.

    Structural Dynamics and Vibrations deals with the analysis of dynamic loads on structures and vibration control techniques.

    Environmental Impact Assessment teaches students how to evaluate the environmental consequences of engineering projects and develop sustainable solutions.

    Advanced Manufacturing Processes covers emerging manufacturing technologies such as 3D printing, laser cutting, and precision machining.

    Project-Based Learning Philosophy

    The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for developing practical engineering skills. This approach emphasizes the integration of theoretical knowledge with real-world applications, preparing students to tackle complex challenges they will encounter in their professional careers.

    Mini-projects are undertaken during the third and fourth years of the program. These projects provide students with opportunities to apply concepts learned in coursework to practical problems. Each mini-project is typically completed over a period of 8-12 weeks and involves working in teams of 3-5 students. The projects are supervised by faculty members who guide students through the process of problem identification, design, implementation, and documentation.

    Final-year thesis/capstone projects represent the culmination of the undergraduate engineering experience. Students select a research topic or industrial challenge that aligns with their interests and career goals. The capstone project involves extensive literature review, experimental work, data analysis, and presentation of findings. Students are required to defend their work in front of a panel of faculty members and industry experts.

    Students select projects based on their interests, availability of faculty mentors, and alignment with industry needs. The department maintains a database of potential project topics that are updated regularly based on emerging trends and industry feedback. Faculty members play a crucial role in guiding students through the selection process and providing mentorship throughout the project duration.

    The evaluation criteria for projects include technical competence, innovation, teamwork, presentation skills, and documentation quality. Students are assessed through peer evaluations, faculty reviews, and final presentations. The department also encourages students to publish their research findings in academic journals or present at conferences to enhance their professional profiles.