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.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 4-0-0-4 | - |
| 1 | ENG102 | Physics for Engineers | 3-0-0-3 | - |
| 1 | ENG103 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | ENG104 | Introduction to Engineering Design | 2-0-2-2 | - |
| 2 | ENG201 | Engineering Mathematics II | 4-0-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits and Networks | 3-0-0-3 | - |
| 2 | ENG203 | Thermodynamics | 3-0-0-3 | - |
| 2 | ENG204 | Engineering Mechanics | 3-0-0-3 | - |
| 3 | ENG301 | Materials Science and Engineering | 3-0-0-3 | ENG203 |
| 3 | ENG302 | Fluid Mechanics | 3-0-0-3 | - |
| 3 | ENG303 | Signals and Systems | 3-0-0-3 | - |
| 3 | ENG304 | Computer Programming | 2-0-2-2 | - |
| 4 | ENG401 | Digital Electronics | 3-0-0-3 | - |
| 4 | ENG402 | Mechanics of Solids | 3-0-0-3 | - |
| 4 | ENG403 | Control Systems | 3-0-0-3 | - |
| 4 | ENG404 | Software Engineering | 2-0-2-2 | - |
| 5 | ENG501 | Advanced Mathematics for Engineers | 4-0-0-4 | ENG201 |
| 5 | ENG502 | Heat Transfer | 3-0-0-3 | - |
| 5 | ENG503 | Electromagnetic Fields | 3-0-0-3 | - |
| 5 | ENG504 | Data Structures and Algorithms | 3-0-0-3 | - |
| 6 | ENG601 | Power Electronics | 3-0-0-3 | - |
| 6 | ENG602 | Manufacturing Processes | 3-0-0-3 | - |
| 6 | ENG603 | Database Management Systems | 3-0-0-3 | - |
| 6 | ENG604 | Microprocessors and Microcontrollers | 3-0-0-3 | - |
| 7 | ENG701 | Advanced Control Systems | 3-0-0-3 | ENG403 |
| 7 | ENG702 | Renewable Energy Sources | 3-0-0-3 | - |
| 7 | ENG703 | Human Factors in Engineering | 2-0-0-2 | - |
| 7 | ENG704 | Project Management | 2-0-0-2 | - |
| 8 | ENG801 | Capstone Project | 4-0-0-4 | - |
| 8 | ENG802 | Industrial Internship | 4-0-0-4 | - |
| 8 | ENG803 | Ethics and Professional Responsibility | 2-0-0-2 | - |
| 8 | ENG804 | Final Year Thesis | 6-0-0-6 | - |
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.