Curriculum
The Bachelor of Mechanical Engineering program at Gyan Ganga College of Technology is meticulously structured to provide a comprehensive understanding of mechanical systems, materials, and processes. The curriculum integrates foundational sciences with advanced engineering principles, preparing students for dynamic careers in industry and academia.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
I | MATH101 | Calculus and Differential Equations | 3-1-0-4 | None |
I | PHYS101 | Physics for Engineers | 3-1-0-4 | None |
I | CHM101 | Chemistry for Engineers | 3-1-0-4 | None |
I | ENG101 | Engineering Graphics and Design | 2-1-0-3 | None |
I | EG101 | Introduction to Engineering | 2-0-0-2 | None |
I | ME101 | Basic Mechanics of Solids | 3-1-0-4 | MATH101 |
I | ME102 | Workshop Practice | 0-0-2-2 | None |
II | MATH201 | Advanced Mathematics | 3-1-0-4 | MATH101 |
II | PHYS201 | Thermodynamics and Heat Transfer | 3-1-0-4 | PHYS101 |
II | ME201 | Mechanics of Fluids | 3-1-0-4 | ME101 |
II | ME202 | Electrical Circuits and Electronics | 3-1-0-4 | PHYS101 |
II | ME203 | Manufacturing Processes | 3-1-0-4 | ME101 |
II | ME204 | Computer Programming | 2-1-0-3 | None |
III | ME301 | Mechanics of Solids | 3-1-0-4 | ME101 |
III | ME302 | Thermal Engineering | 3-1-0-4 | PHYS201 |
III | ME303 | Hydraulics and Pneumatics | 3-1-0-4 | ME201 |
III | ME304 | Machine Design I | 3-1-0-4 | ME301 |
III | ME305 | Control Systems | 3-1-0-4 | ME202 |
III | ME306 | Engineering Materials | 3-1-0-4 | CHM101 |
IV | ME401 | Mechanical Measurements and Instrumentation | 3-1-0-4 | ME201 |
IV | ME402 | Heat Transfer | 3-1-0-4 | PHYS201 |
IV | ME403 | Power Plant Engineering | 3-1-0-4 | ME302 |
IV | ME404 | Advanced Manufacturing | 3-1-0-4 | ME303 |
IV | ME405 | Design of Machine Elements | 3-1-0-4 | ME304 |
IV | ME406 | Industrial Engineering | 3-1-0-4 | ME203 |
V | ME501 | Automotive Engineering | 3-1-0-4 | ME302 |
V | ME502 | Renewable Energy Systems | 3-1-0-4 | ME302 |
V | ME503 | Robotics and Automation | 3-1-0-4 | ME305 |
V | ME504 | Advanced Thermodynamics | 3-1-0-4 | ME302 |
V | ME505 | Finite Element Analysis | 3-1-0-4 | ME301 |
V | ME506 | Nanostructured Materials | 3-1-0-4 | ME306 |
VI | ME601 | Design Project I | 2-0-2-4 | ME405 |
VI | ME602 | Industrial Internship | 0-0-4-4 | ME403 |
VI | ME603 | Aerospace Engineering Fundamentals | 3-1-0-4 | ME302 |
VI | ME604 | Advanced Control Systems | 3-1-0-4 | ME305 |
VI | ME605 | Energy Storage Technologies | 3-1-0-4 | ME302 |
VI | ME606 | Advanced Materials Science | 3-1-0-4 | ME306 |
VII | ME701 | Design Project II | 2-0-2-4 | ME601 |
VII | ME702 | Capstone Thesis | 0-0-8-8 | ME601 |
VII | ME703 | Project Management | 3-1-0-4 | ME203 |
VII | ME704 | Entrepreneurship and Innovation | 2-0-0-2 | None |
VIII | ME801 | Research Methodology | 2-0-0-2 | ME702 |
VIII | ME802 | Special Topics in Mechanical Engineering | 3-1-0-4 | ME702 |
VIII | ME803 | Advanced Project | 0-0-6-6 | ME702 |
VIII | ME804 | Professional Development | 2-0-0-2 | None |
Advanced departmental elective courses include:
- Advanced Robotics and Control Systems: This course explores modern control strategies, robot kinematics, motion planning, sensor integration, and machine learning algorithms applied to robotic systems. Students develop a fully autonomous mobile robot capable of navigating complex environments.
- Nanostructured Materials and Applications: Focuses on synthesis, characterization, and applications of nanomaterials in mechanical engineering contexts. Includes hands-on lab sessions using scanning electron microscopy and atomic force microscopy.
- Finite Element Analysis for Engineering Problems: Provides comprehensive training in finite element modeling using commercial software packages. Students apply FEM to solve real-world engineering challenges involving structural, thermal, and fluid dynamics problems.
- Energy Storage Technologies: Covers batteries, supercapacitors, fuel cells, and emerging storage technologies for renewable energy systems. Includes laboratory experiments on battery performance testing and efficiency optimization.
- Advanced Manufacturing Processes: Delves into cutting-edge manufacturing techniques including 3D printing, laser machining, electron beam welding, and precision casting. Students learn to design and fabricate functional prototypes using these advanced methods.
- Smart Materials and Structures: Introduces shape memory alloys, piezoelectric ceramics, magnetorheological fluids, and other responsive materials. Explores their applications in adaptive structures, actuators, and sensors.
- Aerospace Propulsion Systems: Focuses on gas turbine engines, rocket propulsion, and alternative power sources for aircraft and spacecraft. Includes wind tunnel testing, engine performance analysis, and aerodynamic design principles.
- Computational Fluid Dynamics (CFD): Teaches numerical methods and simulation techniques for fluid flow problems. Students perform CFD simulations using ANSYS Fluent and OpenFOAM to analyze complex flows in turbines, compressors, and automotive systems.
- Industrial Internet of Things (IIoT) and Smart Manufacturing: Integrates IoT concepts with manufacturing processes, focusing on data analytics, predictive maintenance, and digital twins for smart factories.
- Human Factors and Ergonomics in Engineering Design: Examines human capabilities and limitations in engineering systems. Covers design principles for safety, usability, and comfort in mechanical products and work environments.
The department's philosophy on project-based learning is centered around experiential education that bridges theory with practice. Students engage in both mini-projects during their third and fourth years and a final-year capstone thesis. Mini-projects are designed to enhance teamwork, communication, and technical skills, while the capstone project allows students to explore an area of personal interest or relevance to industry needs.
Project selection begins in the third year when students attend seminars led by faculty members discussing current research areas and available projects. Students choose mentors based on their interests and career goals. The evaluation criteria include project proposal quality, progress reports, final presentation, and peer review scores.