Curriculum Overview
The curriculum for the Diploma in Mechanical Engineering at Shri Vaishnav Polytechnic College is meticulously crafted to ensure a balanced blend of theoretical knowledge and practical skills. The program spans three academic years, divided into six semesters, with each semester carrying specific credit loads designed to progressively build upon previously acquired concepts.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
1 | ME-101 | Engineering Mathematics I | 3-0-0-3 | - |
1 | ME-102 | Applied Physics | 3-0-0-3 | - |
1 | ME-103 | Basic Electrical Engineering | 3-0-0-3 | - |
1 | ME-104 | Engineering Graphics & CAD | 2-0-2-3 | - |
1 | ME-105 | Workshop Practice | 0-0-4-2 | - |
1 | ME-106 | Computer Programming | 3-0-0-3 | - |
2 | ME-201 | Engineering Mathematics II | 3-0-0-3 | ME-101 |
2 | ME-202 | Applied Mechanics | 3-0-0-3 | - |
2 | ME-203 | Mechanics of Materials | 3-0-0-3 | ME-102 |
2 | ME-204 | Manufacturing Processes | 2-0-2-3 | - |
2 | ME-205 | Thermodynamics | 3-0-0-3 | ME-101 |
2 | ME-206 | Fluid Mechanics | 3-0-0-3 | ME-101 |
3 | ME-301 | Mechanical Design | 3-0-0-3 | ME-203 |
3 | ME-302 | Machine Drawing | 2-0-2-3 | ME-104 |
3 | ME-303 | Heat Transfer | 3-0-0-3 | ME-205 |
3 | ME-304 | Strength of Materials | 3-0-0-3 | ME-203 |
3 | ME-305 | Industrial Engineering | 2-0-2-3 | - |
3 | ME-306 | Electrical Machines | 3-0-0-3 | ME-103 |
4 | ME-401 | Control Systems | 3-0-0-3 | ME-206 |
4 | ME-402 | Power Plant Engineering | 3-0-0-3 | ME-205 |
4 | ME-403 | Automobile Engineering | 3-0-0-3 | ME-301 |
4 | ME-404 | Advanced Manufacturing | 2-0-2-3 | ME-204 |
4 | ME-405 | Numerical Methods | 3-0-0-3 | ME-101 |
4 | ME-406 | Project Work I | 0-0-8-4 | - |
5 | ME-501 | Robotics & Automation | 3-0-0-3 | ME-401 |
5 | ME-502 | Renewable Energy Systems | 3-0-0-3 | ME-205 |
5 | ME-503 | Materials Science | 3-0-0-3 | ME-304 |
5 | ME-504 | Aerodynamics & Propulsion | 3-0-0-3 | ME-206 |
5 | ME-505 | Quality Control & Reliability | 2-0-2-3 | - |
5 | ME-506 | Project Work II | 0-0-8-4 | - |
6 | ME-601 | Capstone Project | 0-0-12-6 | - |
6 | ME-602 | Internship | 0-0-0-4 | - |
6 | ME-603 | Industrial Training | 0-0-0-4 | - |
Advanced Departmental Elective Courses
These advanced elective courses are designed to offer specialized knowledge and practical insights into cutting-edge areas of mechanical engineering:
1. Robotics & Automation
This course explores the integration of mechanical systems with electronic controls and artificial intelligence to create automated solutions. Students learn about robotic kinematics, sensor networks, control algorithms, and programming languages such as Python and C++. The curriculum emphasizes hands-on experience through simulations and physical robot building.
2. Renewable Energy Systems
Focused on sustainable energy technologies, this course covers solar panels, wind turbines, hydroelectric systems, geothermal energy, and energy storage solutions. Students gain knowledge of system design, efficiency optimization, and environmental impact assessment.
3. Materials Science
This course delves into the structure-property relationships of various materials including metals, ceramics, polymers, and composites. Emphasis is placed on material selection criteria, processing techniques, and failure analysis in engineering applications.
4. Aerodynamics & Propulsion
Students study airflow behavior around objects and propulsion mechanisms used in aircraft and spacecraft. Topics include lift and drag coefficients, boundary layer theory, jet engine design, and computational fluid dynamics (CFD) modeling.
5. Quality Control & Reliability
This course introduces statistical methods for ensuring product quality and system reliability. Students learn about control charts, Six Sigma methodologies, fault tree analysis, and reliability testing procedures.
6. Advanced Manufacturing Processes
Examines modern manufacturing techniques such as additive manufacturing (3D printing), laser cutting, electron beam machining, and precision casting. The course includes both theoretical concepts and practical implementation in lab settings.
7. Computational Fluid Dynamics (CFD)
Using simulation software like ANSYS Fluent or OpenFOAM, students model fluid flow phenomena and analyze pressure distribution, turbulence, heat transfer, and other related parameters in mechanical systems.
8. Machine Design
Focuses on the design process of mechanical components including shafts, gears, bearings, springs, and fasteners. Students learn to apply stress analysis, fatigue considerations, and design standards in real-world applications.
9. Industrial Engineering
Introduces principles of industrial engineering such as process optimization, layout planning, inventory management, lean manufacturing, and supply chain coordination. Students engage with case studies from various industries to apply these concepts practically.
10. Energy Systems
Covers energy conversion systems including thermal cycles, power generation plants, nuclear reactors, and alternative energy sources. Students analyze system performance, efficiency, and environmental implications using thermodynamic principles.
Project-Based Learning Philosophy
The department strongly advocates for project-based learning as a core pedagogical strategy. This approach enables students to apply theoretical knowledge to real-world problems while developing teamwork, communication, and problem-solving skills.
Mini-projects are assigned throughout the program, typically lasting one semester. These projects allow students to explore specific areas of interest under faculty supervision and present their findings in formal reports and presentations.
The final-year capstone project is a comprehensive endeavor that integrates all learned concepts. Students select a topic aligned with current industry challenges or personal interests and work closely with a faculty mentor throughout the process. The project culminates in a detailed report, prototype development, and public presentation to a panel of experts.
Project selection involves a competitive process where students propose ideas based on their research interests and available resources. Faculty mentors are assigned based on expertise alignment, ensuring that each student receives guidance tailored to their area of focus.