Comprehensive Course Catalog
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ME101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ME102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ME103 | Chemistry for Engineering | 3-1-0-4 | - |
| 1 | ME104 | Engineering Graphics & Design | 2-1-0-3 | - |
| 1 | ME105 | Introduction to Programming | 2-1-0-3 | - |
| 1 | ME106 | Workshop Practice | 0-0-3-1 | - |
| 2 | ME201 | Engineering Mathematics II | 3-1-0-4 | ME101 |
| 2 | ME202 | Basic Electrical Circuits | 3-1-0-4 | - |
| 2 | ME203 | Strength of Materials | 3-1-0-4 | ME102 |
| 2 | ME204 | Fluid Mechanics | 3-1-0-4 | ME102 |
| 2 | ME205 | Manufacturing Processes | 3-1-0-4 | - |
| 2 | ME206 | Lab Practice - Fluid Mechanics | 0-0-3-1 | ME204 |
| 3 | ME301 | Mechanics of Machines | 3-1-0-4 | ME203 |
| 3 | ME302 | Thermodynamics | 3-1-0-4 | ME202 |
| 3 | ME303 | Heat Transfer | 3-1-0-4 | ME204 |
| 3 | ME304 | Machine Design I | 3-1-0-4 | ME301 |
| 3 | ME305 | Control Systems | 3-1-0-4 | ME201 |
| 3 | ME306 | Lab Practice - Control Systems | 0-0-3-1 | ME305 |
| 4 | ME401 | Dynamics of Machines | 3-1-0-4 | ME301 |
| 4 | ME402 | Advanced Thermodynamics | 3-1-0-4 | ME302 |
| 4 | ME403 | Manufacturing Technology II | 3-1-0-4 | ME205 |
| 4 | ME404 | Machine Design II | 3-1-0-4 | ME304 |
| 4 | ME405 | Refrigeration & Air Conditioning | 3-1-0-4 | ME302 |
| 4 | ME406 | Lab Practice - Refrigeration | 0-0-3-1 | ME405 |
| 5 | ME501 | Advanced Fluid Mechanics | 3-1-0-4 | ME204 |
| 5 | ME502 | Finite Element Analysis | 3-1-0-4 | ME301 |
| 5 | ME503 | Numerical Methods in Engineering | 3-1-0-4 | ME201 |
| 5 | ME504 | Renewable Energy Systems | 3-1-0-4 | ME302 |
| 5 | ME505 | Project Management | 3-1-0-4 | - |
| 5 | ME506 | Lab Practice - FEA | 0-0-3-1 | ME502 |
| 6 | ME601 | Robotics & Automation | 3-1-0-4 | ME305 |
| 6 | ME602 | Advanced Materials Science | 3-1-0-4 | ME203 |
| 6 | ME603 | Computational Fluid Dynamics | 3-1-0-4 | ME501 |
| 6 | ME604 | Design of Experiments | 3-1-0-4 | ME201 |
| 6 | ME605 | Entrepreneurship & Innovation | 3-1-0-4 | - |
| 6 | ME606 | Lab Practice - Robotics | 0-0-3-1 | ME601 |
| 7 | ME701 | Capstone Project I | 2-0-6-8 | - |
| 7 | ME702 | Advanced Control Systems | 3-1-0-4 | ME305 |
| 7 | ME703 | Systems Engineering | 3-1-0-4 | - |
| 7 | ME704 | Aerospace Propulsion | 3-1-0-4 | ME302 |
| 7 | ME705 | Sustainable Manufacturing | 3-1-0-4 | - |
| 7 | ME706 | Lab Practice - Systems Engineering | 0-0-3-1 | ME703 |
| 8 | ME801 | Capstone Project II | 2-0-6-8 | - |
| 8 | ME802 | Internship | 0-0-0-4 | - |
| 8 | ME803 | Advanced Topics in Mechanical Engineering | 3-1-0-4 | - |
| 8 | ME804 | Research Methodology | 3-1-0-4 | - |
| 8 | ME805 | Technical Writing & Presentation | 2-0-0-2 | - |
| 8 | ME806 | Industry Interaction Sessions | 0-0-0-2 | - |
Detailed Course Descriptions for Advanced Departmental Electives
Advanced Fluid Mechanics (ME501): This course explores complex fluid behavior, including turbulent flows, boundary layer theory, and multiphase flow phenomena. Students will study Navier-Stokes equations, computational methods for solving fluid problems, and real-world applications in aerospace and chemical engineering.
Finite Element Analysis (ME502): The course introduces finite element modeling techniques for structural, thermal, and dynamic analysis. Topics include mesh generation, solution algorithms, post-processing tools, and application to engineering systems. Students will use industry-standard software like ANSYS and ABAQUS.
Numerical Methods in Engineering (ME503): This course focuses on numerical solutions for engineering problems using methods such as finite difference, Runge-Kutta, and iterative solvers. Applications include heat transfer, fluid dynamics, and structural mechanics. Students will implement algorithms in Python or MATLAB.
Renewable Energy Systems (ME504): This course examines solar, wind, hydroelectric, and geothermal energy systems. It covers design principles, efficiency optimization, integration into power grids, and environmental impact assessment. Students will analyze real-world case studies from around the world.
Project Management (ME505): Designed to equip students with project planning, execution, and monitoring skills essential for engineering roles. The course covers agile methodologies, risk management, budgeting, resource allocation, and stakeholder communication strategies.
Robotics & Automation (ME601): This course integrates mechanical design, electronics control, sensor integration, and artificial intelligence to build intelligent robotic systems. Students will learn programming languages like Python and ROS (Robot Operating System) while designing and building functional robots.
Advanced Materials Science (ME602): The course covers advanced materials including composites, ceramics, polymers, and nanomaterials. It includes synthesis techniques, characterization methods, mechanical properties, and applications in aerospace, biomedical, and energy sectors.
Computational Fluid Dynamics (ME603): This course provides a comprehensive introduction to CFD using commercial software packages like Fluent and OpenFOAM. Students will solve real-world fluid problems involving aerodynamics, heat transfer, and reacting flows.
Design of Experiments (ME604): The focus is on experimental design principles and statistical analysis for engineering research. Topics include factorial designs, response surface methodology, hypothesis testing, and data visualization using tools like Minitab and R.
Entrepreneurship & Innovation (ME605): This course emphasizes innovation mindset, ideation techniques, business model development, and startup creation in engineering fields. Students will pitch their ideas to investors and learn about funding sources and intellectual property rights.
Capstone Project I (ME701): The first phase of the capstone project involves identifying a real-world problem, conducting literature review, developing a conceptual framework, and preparing a detailed proposal. Students work under faculty supervision to explore innovative solutions using multidisciplinary approaches.
Advanced Control Systems (ME702): This course delves into modern control theory including state-space representation, optimal control, robust control, and adaptive control. Students will design controllers for complex mechanical systems using MATLAB/Simulink.
Systems Engineering (ME703): The focus is on integrating engineering disciplines to optimize system performance. Students learn about system architecture, requirements analysis, system modeling, simulation techniques, and lifecycle management.
Aerospace Propulsion (ME704): This course covers gas dynamics, jet engines, rocket propulsion, and turbomachinery. Students will study the thermodynamic cycles involved in various propulsion systems and perform design calculations using industry-standard software.
Sustainable Manufacturing (ME705): The course explores sustainable practices in manufacturing including waste reduction, energy efficiency, life cycle assessment, and green supply chain management. It includes case studies of eco-friendly manufacturing processes and their implementation strategies.
Project-Based Learning Philosophy
The department believes that project-based learning is the most effective way to bridge theory and practice. Students engage in both individual and group projects throughout their academic journey, starting from simple lab experiments in early semesters to complex, multi-disciplinary capstone projects in final year.
Mini-projects begin in semester 3 with a focus on applying fundamental concepts learned in core courses. These projects are typically completed over 4-6 weeks and involve problem identification, design planning, implementation, and reporting. Evaluation criteria include technical execution, innovation, teamwork, and presentation quality.
The final-year thesis/capstone project is a comprehensive endeavor spanning two semesters. Students select a topic aligned with their interests or industry needs and work closely with a faculty advisor. The process involves literature review, experimental design, data collection, analysis, and final reporting. Successful completion leads to a public defense presentation before a panel of experts.
Faculty mentors are selected based on expertise in the chosen domain, availability, and alignment with student goals. Students are encouraged to seek guidance from multiple advisors when needed. The department also organizes project showcases where students present their work to faculty, industry professionals, and peers, fostering a culture of excellence and innovation.