Search and navigate to colleges and courses
Apply
Scholarships & exams
Fees
₹3,00,000
Placement
93.5%
Avg Package
₹6,50,000
Highest Package
₹9,50,000
Fees
₹3,00,000
Placement
93.5%
Avg Package
₹6,50,000
Highest Package
₹9,50,000
Seats
250
Students
250
Seats
250
Students
250
| Semester | Course Code | Full Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MEE101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | MEE102 | Physics for Engineering | 3-1-0-4 | - |
| 1 | MEE103 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | MEE104 | Engineering Drawing & Graphics | 2-1-0-3 | - |
| 1 | MEE105 | Introduction to Computer Programming | 2-0-2-3 | - |
| 1 | MEE106 | Workshop Practice | 0-0-4-2 | - |
| 2 | MEE201 | Engineering Mathematics II | 3-1-0-4 | MEE101 |
| 2 | MEE202 | Chemistry for Engineering | 3-1-0-4 | - |
| 2 | MEE203 | Strength of Materials | 3-1-0-4 | MEE101 |
| 2 | MEE204 | Fluid Mechanics | 3-1-0-4 | MEE101 |
| 2 | MEE205 | Mechanics of Machines | 3-1-0-4 | MEE101 |
| 2 | MEE206 | Computer Programming Lab | 0-0-4-2 | MEE105 |
| 3 | MEE301 | Thermodynamics | 3-1-0-4 | MEE201, MEE204 |
| 3 | MEE302 | Heat Transfer | 3-1-0-4 | MEE201, MEE204 |
| 3 | MEE303 | Machine Design I | 3-1-0-4 | MEE201, MEE203 |
| 3 | MEE304 | Manufacturing Processes | 3-1-0-4 | MEE201 |
| 3 | MEE305 | Industrial Engineering & Management | 3-1-0-4 | MEE201 |
| 3 | MEE306 | Machine Design Lab I | 0-0-4-2 | MEE303 |
| 4 | MEE401 | Control Systems | 3-1-0-4 | MEE201, MEE205 |
| 4 | MEE402 | Manufacturing Process II | 3-1-0-4 | MEE304 |
| 4 | MEE403 | Advanced Thermodynamics | 3-1-0-4 | MEE301, MEE302 |
| 4 | MEE404 | Finite Element Analysis | 3-1-0-4 | MEE201 |
| 4 | MEE405 | Project Management & Entrepreneurship | 3-1-0-4 | MEE305 |
| 4 | MEE406 | Control Systems Lab | 0-0-4-2 | MEE401 |
| 5 | MEE501 | Robotics & Automation | 3-1-0-4 | MEE401, MEE402 |
| 5 | MEE502 | Renewable Energy Systems | 3-1-0-4 | MEE301, MEE302 |
| 5 | MEE503 | Advanced Materials Science | 3-1-0-4 | MEE201 |
| 5 | MEE504 | Computational Fluid Dynamics | 3-1-0-4 | MEE204 |
| 5 | MEE505 | Automotive Engineering | 3-1-0-4 | MEE205 |
| 5 | MEE506 | Robotics Lab | 0-0-4-2 | MEE501 |
| 6 | MEE601 | Machine Design II | 3-1-0-4 | MEE303 |
| 6 | MEE602 | Design for Manufacturing | 3-1-0-4 | MEE402 |
| 6 | MEE603 | Project Planning & Execution | 3-1-0-4 | MEE505 |
| 6 | MEE604 | Nanotechnology in Engineering | 3-1-0-4 | MEE303 |
| 6 | MEE605 | Biomechanical Engineering | 3-1-0-4 | MEE203 |
| 6 | MEE606 | Final Year Project Lab | 0-0-8-4 | All previous semesters |
| 7 | MEE701 | Research Methodology | 3-1-0-4 | - |
| 7 | MEE702 | Ethics in Engineering | 3-1-0-4 | - |
| 7 | MEE703 | Capstone Project Preparation | 3-1-0-4 | All previous semesters |
| 7 | MEE704 | Internship Training | 0-0-4-2 | - |
| 8 | MEE801 | Final Year Thesis | 0-0-8-6 | MEE703 |
| 8 | MEE802 | Industrial Visit & Presentation | 0-0-4-2 | - |
The department's philosophy on project-based learning is deeply embedded in the curriculum. Students are encouraged to participate in mini-projects from their second year onwards, which typically involve designing and prototyping a mechanical system or solving a real-world engineering problem. These projects are evaluated based on innovation, technical execution, teamwork, and presentation skills.
The final-year capstone project requires students to work closely with faculty mentors to develop an original research or design initiative that addresses a significant challenge in the field. The selection process involves submitting a proposal, undergoing mentorship sessions, and presenting progress updates throughout the semester. Students are supported through dedicated thesis writing workshops, access to industry experts, and funding for materials and travel.
Robotics & Automation: This course introduces students to robotic systems, sensor integration, control algorithms, and artificial intelligence applications in mechanical engineering. It includes laboratory sessions on building autonomous robots and implementing machine learning models for automation tasks.
Renewable Energy Systems: Students explore solar, wind, hydroelectric, and bioenergy technologies while studying their design, implementation, and environmental impact. The course emphasizes sustainable solutions and energy efficiency optimization.
Advanced Materials Science: This elective covers the structure-property relationships of metals, ceramics, polymers, and composites, with special focus on advanced manufacturing techniques and applications in aerospace and biomedical fields.
Computational Fluid Dynamics: Students learn to simulate fluid behavior using numerical methods and software tools like ANSYS Fluent. The course includes hands-on training in modeling airflow around vehicles, heat exchangers, and turbines.
Automotive Engineering: This course focuses on engine design, vehicle dynamics, safety systems, and emerging trends in automotive technology such as electric and hybrid vehicles.
Design for Manufacturing: Emphasizing practical aspects of product development, this course teaches students how to optimize designs for ease of manufacturing while maintaining functionality and cost-effectiveness.
Nanotechnology in Engineering: Students study the principles and applications of nanomaterials and nanostructures in engineering contexts, including their use in sensors, drug delivery systems, and energy storage devices.
Biomechanical Engineering: This interdisciplinary course explores the mechanical behavior of biological systems, including human anatomy, biomechanics of movement, and medical device design.
Mechatronics Systems: Integrating mechanical, electrical, and software engineering, this course covers embedded systems, microcontrollers, automation, and smart manufacturing technologies.
Advanced Thermodynamics: Building on foundational concepts, this course delves into complex thermodynamic cycles, phase equilibria, and energy conversion processes in modern industrial applications.
Finite Element Analysis: Students learn to model and analyze mechanical systems using finite element software. The course includes both theoretical background and practical implementation of stress analysis, heat transfer simulations, and vibration studies.
Project Management & Entrepreneurship: This course equips students with project planning tools, risk assessment strategies, and entrepreneurial mindset necessary for launching startups or leading innovation teams in corporate environments.
Control Systems: Designed to provide a comprehensive understanding of feedback control systems, this course includes classical and modern control theory, stability analysis, and design methods using MATLAB and Simulink.
Manufacturing Process II: An advanced study of contemporary manufacturing techniques including additive manufacturing, precision machining, and quality control methodologies used in high-tech industries.
Machine Design II: Extending from Machine Design I, this course covers advanced topics such as fatigue analysis, dynamic loading, and design optimization for complex mechanical systems.
Research Methodology: Preparing students for research-oriented careers, this course introduces scientific methods, literature review techniques, data collection strategies, and ethical considerations in engineering research.
