Comprehensive Course Structure Across 8 Semesters
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | MAT101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | BME101 | Basic Mechanical Engineering | 2-1-0-3 | - |
| 1 | ENG101 | Engineering Graphics | 2-1-0-3 | - |
| 1 | MEC101 | Introduction to Engineering | 1-0-0-1 | - |
| 2 | MAT102 | Engineering Mathematics II | 3-1-0-4 | MAT101 |
| 2 | PHY102 | Physics Laboratory | 0-0-3-1 | - |
| 2 | CHE102 | Chemistry Laboratory | 0-0-3-1 | - |
| 2 | BME102 | Basic Electrical Engineering | 3-1-0-4 | - |
| 2 | ENG102 | Technical Communication | 2-0-0-2 | - |
| 2 | MEC102 | Workshop Practice | 0-0-3-1 | - |
| 3 | MAT201 | Engineering Mathematics III | 3-1-0-4 | MAT102 |
| 3 | MEC201 | Strength of Materials | 3-1-0-4 | BME102 |
| 3 | MEC202 | Thermodynamics | 3-1-0-4 | MAT201 |
| 3 | MEC203 | Fluid Mechanics | 3-1-0-4 | MAT201 |
| 3 | MEC204 | Manufacturing Processes | 3-1-0-4 | BME102 |
| 3 | MEC205 | Engineering Materials | 3-1-0-4 | - |
| 3 | MEC206 | Lab: Fluid Mechanics | 0-0-3-1 | - |
| 4 | MAT202 | Engineering Mathematics IV | 3-1-0-4 | MAT201 |
| 4 | MEC301 | Machine Design I | 3-1-0-4 | MEC201 |
| 4 | MEC302 | Heat Transfer | 3-1-0-4 | MEC202 |
| 4 | MEC303 | Dynamics of Machinery | 3-1-0-4 | MEC201 |
| 4 | MEC304 | Industrial Engineering | 3-1-0-4 | - |
| 4 | MEC305 | Applied Thermodynamics | 3-1-0-4 | MEC202 |
| 4 | MEC306 | Lab: Machine Design | 0-0-3-1 | - |
| 5 | MEC401 | Control Systems | 3-1-0-4 | MAT202 |
| 5 | MEC402 | Vibration Analysis | 3-1-0-4 | MEC303 |
| 5 | MEC403 | Computer Aided Design | 3-1-0-4 | - |
| 5 | MEC404 | Advanced Manufacturing | 3-1-0-4 | MEC204 |
| 5 | MEC405 | Energy Systems | 3-1-0-4 | MEC202 |
| 5 | MEC406 | Lab: CAD & CAE | 0-0-3-1 | - |
| 6 | MEC501 | Robotics and Automation | 3-1-0-4 | MEC401 |
| 6 | MEC502 | Biomechanics | 3-1-0-4 | MEC201 |
| 6 | MEC503 | Renewable Energy Systems | 3-1-0-4 | MEC202 |
| 6 | MEC504 | Materials Science | 3-1-0-4 | MEC205 |
| 6 | MEC505 | Product Design | 3-1-0-4 | - |
| 6 | MEC506 | Lab: Robotics & Automation | 0-0-3-1 | - |
| 7 | MEC601 | Advanced Thermodynamics | 3-1-0-4 | MEC202 |
| 7 | MEC602 | Finite Element Analysis | 3-1-0-4 | MAT202 |
| 7 | MEC603 | Advanced Machine Design | 3-1-0-4 | MEC301 |
| 7 | MEC604 | Computational Fluid Dynamics | 3-1-0-4 | MEC303 |
| 7 | MEC605 | Advanced Manufacturing Processes | 3-1-0-4 | MEC204 |
| 7 | MEC606 | Lab: FEA & CFD | 0-0-3-1 | - |
| 8 | MEC701 | Final Year Project | 0-0-6-9 | - |
| 8 | MEC702 | Elective I | 3-1-0-4 | - |
| 8 | MEC703 | Elective II | 3-1-0-4 | - |
| 8 | MEC704 | Elective III | 3-1-0-4 | - |
| 8 | MEC705 | Elective IV | 3-1-0-4 | - |
| 8 | MEC706 | Internship | 0-0-0-2 | - |
Advanced Departmental Electives Overview
Advanced departmental electives at Nayanta University Pune are designed to provide students with specialized knowledge in emerging areas of mechanical engineering. These courses are taught by experienced faculty members who are actively involved in research and industry collaboration.
One of the core advanced electives is Robotics and Automation, which covers topics such as robot kinematics, control systems, sensor integration, and industrial automation. Students learn to design and program robots for various applications including manufacturing, healthcare, and exploration. The course includes hands-on projects where students build and test their own robotic systems.
The Biomechanics elective focuses on the application of mechanical principles to biological systems. Students explore topics such as human movement analysis, biomechanical modeling, and medical device design. This course bridges the gap between engineering and medicine, preparing students for careers in biomedical engineering.
Renewable Energy Systems is another key elective that addresses the growing need for sustainable energy solutions. The course covers solar energy technologies, wind power systems, hydroelectric generation, and energy storage systems. Students gain practical experience through laboratory sessions and field visits to renewable energy installations.
Materials Science delves into the structure, properties, and processing of materials used in engineering applications. Topics include crystallography, phase diagrams, mechanical properties, and material selection criteria. Students conduct experiments to characterize different materials and understand their behavior under various conditions.
Product Design emphasizes the entire lifecycle of product development from concept generation to market launch. Students learn design principles, prototyping techniques, user experience considerations, and manufacturing processes. The course includes collaborative projects where students work in teams to develop innovative products.
Advanced Thermodynamics builds upon fundamental thermodynamic concepts to explore advanced topics such as thermodynamic cycles, exergy analysis, and energy conversion systems. Students analyze complex thermodynamic processes and design efficient energy systems for industrial applications.
Finite Element Analysis introduces students to numerical methods used in engineering simulations. The course covers mesh generation, boundary conditions, solution techniques, and post-processing of results. Students use industry-standard software tools to solve real-world engineering problems.
Computational Fluid Dynamics focuses on the simulation of fluid flow using numerical methods. Students learn to model complex flow scenarios, analyze turbulence, and optimize designs for aerodynamic performance. The course includes practical sessions with CFD software packages.
Advanced Manufacturing Processes explores cutting-edge manufacturing technologies including additive manufacturing, precision machining, and automated production systems. Students gain hands-on experience with modern manufacturing equipment and learn to evaluate process parameters for optimal results.
Design Optimization teaches students how to optimize engineering designs using mathematical methods and computer algorithms. Topics include linear programming, nonlinear optimization, genetic algorithms, and multi-objective optimization. Students apply these techniques to real-world problems in mechanical design.
Project-Based Learning Philosophy
The department's philosophy on project-based learning emphasizes the integration of theoretical knowledge with practical application. Students are encouraged to think critically, solve complex problems, and collaborate effectively throughout their academic journey.
Mini-projects are introduced in the third semester as part of the curriculum. These projects allow students to apply fundamental concepts learned in core courses to real-world scenarios. Projects are typically team-based, requiring students to work collaboratively while developing leadership and communication skills.
The final-year thesis/capstone project is a comprehensive endeavor that requires students to demonstrate mastery of their chosen field. Students select projects based on their interests and career goals, often in collaboration with industry partners or research mentors. The project involves extensive literature review, experimental design, data analysis, and presentation of findings.
Project selection criteria include relevance to current industry trends, feasibility within available resources, alignment with student interests, and potential for innovation. Faculty mentors guide students through each phase of the project, providing technical expertise and feedback on progress.
Evaluation criteria for projects consider both individual contributions and team performance. Students are assessed on their ability to define problems, propose solutions, conduct research, analyze results, and communicate findings effectively. The final presentation and documentation of the project are critical components of the evaluation process.