Comprehensive Course Structure
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | ME101 | Engineering Mathematics I | 3-1-0-4 | - |
| I | ME102 | Engineering Physics | 3-1-0-4 | - |
| I | ME103 | Basic Electrical Engineering | 3-1-0-4 | - |
| I | ME104 | Engineering Graphics & Design | 2-1-0-3 | - |
| I | ME105 | Introduction to Programming | 2-1-0-3 | - |
| I | ME106 | Workshop Practice | 0-0-2-2 | - |
| II | ME201 | Engineering Mathematics II | 3-1-0-4 | ME101 |
| II | ME202 | Engineering Chemistry | 3-1-0-4 | - |
| II | ME203 | Mechanics of Solids | 3-1-0-4 | ME101 |
| II | ME204 | Thermodynamics | 3-1-0-4 | - |
| II | ME205 | Fluid Mechanics | 3-1-0-4 | - |
| II | ME206 | Materials Science | 3-1-0-4 | - |
| III | ME301 | Machine Design I | 3-1-0-4 | ME203, ME204 |
| III | ME302 | Manufacturing Processes | 3-1-0-4 | - |
| III | ME303 | Heat Transfer | 3-1-0-4 | ME204 |
| III | ME304 | Control Systems | 3-1-0-4 | ME101, ME201 |
| III | ME305 | Industrial Engineering | 3-1-0-4 | - |
| IV | ME401 | Machine Design II | 3-1-0-4 | ME301 |
| IV | ME402 | Refrigeration & Air Conditioning | 3-1-0-4 | - |
| IV | ME403 | Production Planning & Control | 3-1-0-4 | - |
| IV | ME404 | Energy Conversion Systems | 3-1-0-4 | - |
| V | ME501 | Advanced Thermodynamics | 3-1-0-4 | ME204 |
| V | ME502 | Computational Fluid Dynamics | 3-1-0-4 | ME205 |
| V | ME503 | Finite Element Analysis | 3-1-0-4 | - |
| V | ME504 | Numerical Methods | 3-1-0-4 | ME101 |
| V | ME505 | Robotics & Automation | 3-1-0-4 | - |
| VI | ME601 | Renewable Energy Systems | 3-1-0-4 | - |
| VI | ME602 | Advanced Manufacturing | 3-1-0-4 | ME202 |
| VI | ME603 | Biomechanics | 3-1-0-4 | - |
| VI | ME604 | Automotive Engineering | 3-1-0-4 | - |
| VII | ME701 | Project Work I | 0-0-6-6 | - |
| VIII | ME801 | Project Work II | 0-0-8-8 | ME701 |
Detailed Overview of Advanced Departmental Electives
Advanced departmental electives in our Mechanical Engineering program provide students with specialized knowledge and skills relevant to current industry trends. These courses are designed to bridge the gap between theoretical understanding and practical application, enabling students to contribute meaningfully to cutting-edge projects.
Renewable Energy Systems
This course delves into solar, wind, hydroelectric, and bioenergy technologies, focusing on system design, efficiency optimization, and environmental impact assessment. Students learn about photovoltaic cells, wind turbine dynamics, energy storage systems, and grid integration strategies. The curriculum emphasizes both technical and economic aspects of renewable energy implementation, preparing students for roles in clean technology startups and government agencies.
Advanced Manufacturing
This elective explores modern manufacturing techniques including 3D printing, laser cutting, CNC machining, and smart factory concepts. Students engage in hands-on projects involving additive manufacturing processes and learn how to optimize production workflows using Industry 4.0 technologies. The course also covers material selection for advanced applications and quality control methods used in precision manufacturing.
Biomechanics
This interdisciplinary course combines mechanical engineering principles with biological systems, focusing on medical device design, prosthetics, and rehabilitation technologies. Students study human movement mechanics, develop models for joint articulation, and explore the application of biomechanical principles in developing assistive devices for mobility-impaired individuals. Projects include designing knee braces, hip replacements, and exoskeletons.
Automotive Engineering
This course covers automotive design, engine performance, vehicle dynamics, and electric vehicle technologies. Students learn about propulsion systems, suspension design, aerodynamics, and safety features in modern vehicles. Through lab sessions and project work, students gain experience in designing components such as engines, transmissions, and electronic control units.
Computational Fluid Dynamics
This elective focuses on numerical methods for simulating fluid behavior using software tools like ANSYS Fluent and OpenFOAM. Students learn how to model airflow around vehicles, optimize cooling systems in electronics, and analyze heat transfer in industrial processes. The course includes practical sessions where students run simulations and interpret results for real-world engineering problems.
Finite Element Analysis
This course introduces students to finite element modeling techniques used for stress analysis, thermal analysis, and dynamic simulations. Students learn how to create mesh models, apply boundary conditions, and interpret results using commercial software such as ANSYS Mechanical APDL and ABAQUS. The curriculum emphasizes practical applications in structural design and manufacturing.
Robotics & Automation
This course explores robotics design, control systems, artificial intelligence integration, and automation technologies. Students learn about robotic kinematics, sensor integration, programming languages for robotics, and machine vision systems. Projects include designing autonomous robots, implementing industrial automation solutions, and developing smart manufacturing systems.
Numerical Methods
This course teaches numerical algorithms for solving engineering problems involving differential equations, optimization, interpolation, and curve fitting. Students learn to implement these methods using programming languages such as Python and MATLAB. The course prepares students for roles in computational engineering and data analysis.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a cornerstone of engineering education. Through structured mini-projects in the third and fourth years, students develop problem-solving skills, teamwork capabilities, and technical competencies. These projects are designed to simulate real-world challenges, encouraging students to apply theoretical concepts in practical contexts.
Mini-projects typically span one semester and involve interdisciplinary collaboration. Students select topics based on their interests and faculty mentorship, ensuring alignment with industry needs. Each project is evaluated using rubrics that assess creativity, technical execution, documentation quality, and presentation skills.
The final-year thesis/capstone project represents the culmination of a student's academic journey. Students work closely with faculty mentors to identify a research question or engineering challenge within their area of specialization. Projects often involve collaboration with industry partners, resulting in deliverables that contribute to real-world solutions. The capstone project includes literature review, experimental design, data collection and analysis, and final reporting.
Faculty mentorship plays a crucial role throughout the project process. Mentors guide students through research methodologies, help refine project scope, and provide feedback on progress reports. Regular meetings ensure that projects stay on track and meet academic standards.