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    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Bachelor of Technology in Engineering

    Eklavya University Damoh
    Duration
    4 Years
    Engineering UG OFFLINE

    Duration

    4 Years

    Bachelor of Technology in Engineering

    Eklavya University Damoh
    Duration
    Apply

    Fees

    ₹8,00,000

    Placement

    92.0%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Engineering
    UG
    OFFLINE

    Fees

    ₹8,00,000

    Placement

    92.0%

    Avg Package

    ₹4,50,000

    Highest Package

    ₹8,00,000

    Seats

    120

    Students

    1,200

    ApplyCollege

    Seats

    120

    Students

    1,200

    Curriculum

    Course Structure Overview

    The engineering curriculum at Eklavya University Damoh is designed to provide a holistic education that balances theoretical knowledge with practical application. It spans eight semesters, each structured to build upon previous learning and introduce new concepts relevant to the student's chosen specialization.

    SemesterCourse CodeCourse TitleCredits (L-T-P-C)Prerequisites
    1ENG101Engineering Mathematics I4-0-0-4-
    1ENG102Physics for Engineers3-0-0-3-
    1ENG103Chemistry for Engineers3-0-0-3-
    1ENG104Introduction to Engineering Design2-0-2-2-
    2ENG201Engineering Mathematics II4-0-0-4ENG101
    2ENG202Electrical Circuits and Networks3-0-0-3-
    2ENG203Thermodynamics3-0-0-3-
    2ENG204Engineering Mechanics3-0-0-3-
    3ENG301Materials Science and Engineering3-0-0-3ENG203
    3ENG302Fluid Mechanics3-0-0-3-
    3ENG303Signals and Systems3-0-0-3-
    3ENG304Computer Programming2-0-2-2-
    4ENG401Digital Electronics3-0-0-3-
    4ENG402Mechanics of Solids3-0-0-3-
    4ENG403Control Systems3-0-0-3-
    4ENG404Software Engineering2-0-2-2-
    5ENG501Advanced Mathematics for Engineers4-0-0-4ENG201
    5ENG502Heat Transfer3-0-0-3-
    5ENG503Electromagnetic Fields3-0-0-3-
    5ENG504Data Structures and Algorithms3-0-0-3-
    6ENG601Power Electronics3-0-0-3-
    6ENG602Manufacturing Processes3-0-0-3-
    6ENG603Database Management Systems3-0-0-3-
    6ENG604Microprocessors and Microcontrollers3-0-0-3-
    7ENG701Advanced Control Systems3-0-0-3ENG403
    7ENG702Renewable Energy Sources3-0-0-3-
    7ENG703Human Factors in Engineering2-0-0-2-
    7ENG704Project Management2-0-0-2-
    8ENG801Capstone Project4-0-0-4-
    8ENG802Industrial Internship4-0-0-4-
    8ENG803Ethics and Professional Responsibility2-0-0-2-
    8ENG804Final Year Thesis6-0-0-6-

    Advanced Departmental Elective Courses

    The department offers several advanced elective courses that allow students to deepen their knowledge in specialized areas. These courses are designed by leading faculty members and align with current industry trends.

    Artificial Intelligence and Machine Learning: This course explores neural networks, deep learning frameworks, and AI applications across industries. Students learn to build predictive models using tools like TensorFlow, PyTorch, and scikit-learn. Practical projects include image classification, natural language processing, and reinforcement learning.

    Cybersecurity Fundamentals: Covering network security protocols, cryptography, and digital forensics, this course prepares students for roles in information security. Hands-on labs include penetration testing with tools like Metasploit and Kali Linux, ensuring real-world readiness.

    Power System Analysis: Designed to train engineers in power generation, transmission, and distribution systems, this course includes simulations using ETABS and MATLAB. Students study renewable energy integration and smart grid technologies.

    Advanced Robotics: This course combines mechanical engineering with computer science to create autonomous robots. Topics include sensor integration, motion control, and autonomous navigation. Projects involve building robots for specific tasks such as search-and-rescue missions or industrial automation.

    Data Mining and Big Data Analytics: Focused on extracting insights from large datasets, this course teaches students how to use Hadoop, Spark, and SQL databases. Practical applications include market analysis, social media trends, and predictive modeling for business decisions.

    Biomedical Instrumentation: A multidisciplinary course combining engineering principles with medical science, this subject focuses on designing diagnostic tools and monitoring systems. Students work on projects involving ECG machines, MRI systems, and telemedicine platforms.

    Sustainable Urban Planning: This course addresses urban challenges through sustainable design solutions. Topics include green buildings, waste management, and smart transportation systems. Students engage in community-based projects to address real-world urban issues.

    Control Systems for Aerospace Applications: Tailored for students interested in aerospace engineering, this course covers flight dynamics, autopilot systems, and spacecraft control mechanisms. Simulations using MATLAB/Simulink help students understand complex dynamics.

    Advanced Materials for Engineering: This course explores the properties and applications of advanced materials such as composites, ceramics, and nanomaterials. Students conduct experiments in material characterization labs to understand their behavior under different conditions.

    Internet of Things (IoT) and Smart Devices: Focused on connecting everyday devices through networks, this course introduces students to embedded systems programming, wireless communication protocols, and IoT platform development. Practical projects include smart home automation and industrial monitoring systems.

    Project-Based Learning Philosophy

    Eklavya University Damoh believes that practical experience is essential for mastering engineering concepts. Our project-based learning approach ensures that students develop both technical and soft skills needed in the professional world.

    Mini-projects begin in the second year, allowing students to apply theoretical knowledge in small-scale applications. These projects are assessed based on creativity, problem-solving ability, and team collaboration.

    The final-year capstone project is a significant milestone in the academic journey. Students work closely with faculty mentors to identify a real-world challenge and propose innovative solutions. Projects often involve industry partners, ensuring relevance and impact.

    Faculty members serve as advisors throughout the project process, providing guidance on methodology, research techniques, and presentation skills. Regular progress reviews ensure timely completion and quality outcomes.

    Students are encouraged to participate in innovation competitions and hackathons, where they can showcase their projects and gain recognition from industry experts. This exposure helps build confidence and enhances career prospects post-graduation.