Comprehensive Course Structure
Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
---|---|---|---|---|
I | MATH101 | Calculus and Analytical Geometry | 4-0-0-4 | - |
I | PHYS101 | Physics for Engineers | 3-0-0-3 | - |
I | MECH101 | Introduction to Mechanical Engineering | 2-0-0-2 | - |
I | CS101 | Programming and Problem Solving | 3-0-0-3 | - |
I | ENGL101 | English for Engineers | 2-0-0-2 | - |
I | LAW101 | Engineering Ethics and Legal Frameworks | 2-0-0-2 | - |
I | LAB101 | Basic Engineering Laboratory | 0-0-3-1 | - |
II | MATH201 | Differential Equations and Vector Calculus | 4-0-0-4 | MATH101 |
II | PHYS201 | Thermodynamics and Heat Transfer | 3-0-0-3 | PHYS101 |
II | MECH201 | Mechanics of Materials | 3-0-0-3 | MECH101 |
II | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
II | LIT101 | Communication Skills for Engineers | 2-0-0-2 | - |
II | LAB201 | Materials Testing Laboratory | 0-0-3-1 | MECH101 |
III | MATH301 | Probability and Statistics | 3-0-0-3 | MATH201 |
III | MECH301 | Fluid Mechanics | 3-0-0-3 | MECH201 |
III | MECH302 | Mechanical Design and Drafting | 3-0-0-3 | MECH201 |
III | CS301 | Computer Applications in Engineering | 2-0-0-2 | CS201 |
III | MECH303 | Mechanics of Machines | 3-0-0-3 | MECH201 |
III | LAB301 | Fluid Mechanics Laboratory | 0-0-3-1 | MECH201 |
IV | MATH401 | Numerical Methods and Optimization | 3-0-0-3 | MATH301 |
IV | MECH401 | Thermodynamics II | 3-0-0-3 | MECH301 |
IV | MECH402 | Manufacturing Processes | 3-0-0-3 | MECH302 |
IV | CS401 | Engineering Software Tools | 2-0-0-2 | CS301 |
IV | MECH403 | Design of Machine Elements | 3-0-0-3 | MECH303 |
IV | LAB401 | Manufacturing and Testing Laboratory | 0-0-3-1 | MECH302 |
V | MECH501 | Advanced Thermodynamics | 3-0-0-3 | MECH401 |
V | MECH502 | Heat Transfer Analysis | 3-0-0-3 | MECH401 |
V | MECH503 | Control Systems | 3-0-0-3 | MECH403 |
V | MECH504 | Finite Element Analysis | 2-0-0-2 | MECH303 |
V | MECH505 | Project Management and Entrepreneurship | 2-0-0-2 | - |
V | LAB501 | Control Systems Laboratory | 0-0-3-1 | MECH403 |
VI | MECH601 | Renewable Energy Technologies | 3-0-0-3 | MECH501 |
VI | MECH602 | Advanced Materials and Composites | 3-0-0-3 | MECH402 |
VI | MECH603 | Robotics and Automation | 3-0-0-3 | MECH503 |
VI | MECH604 | Sustainable Engineering Practices | 2-0-0-2 | MECH501 |
VI | MECH605 | Smart Manufacturing Systems | 3-0-0-3 | MECH402 |
VI | LAB601 | Advanced Materials Laboratory | 0-0-3-1 | MECH602 |
VII | MECH701 | Capstone Project I | 4-0-0-4 | MECH503, MECH601 |
VII | MECH702 | Advanced Fluid Dynamics | 3-0-0-3 | MECH301 |
VII | MECH703 | Project Planning and Execution | 2-0-0-2 | - |
VIII | MECH801 | Capstone Project II | 6-0-0-6 | MECH701 |
VIII | MECH802 | Internship | 0-0-0-4 | - |
VIII | MECH803 | Research Methodology and Thesis Writing | 2-0-0-2 | - |
Detailed Course Descriptions
The department offers a wide array of advanced departmental electives designed to provide students with specialized knowledge in emerging fields. These courses are taught by faculty members who are leaders in their respective domains and have extensive industry experience.
Advanced Thermodynamics
This course delves into the principles of thermodynamics at an advanced level, covering topics such as entropy, Gibbs free energy, chemical equilibrium, and thermodynamic cycles. Students will explore applications in power generation, refrigeration systems, and environmental engineering. The course integrates theoretical concepts with practical simulations using software tools like MATLAB and EES.
Heat Transfer Analysis
This elective focuses on conduction, convection, and radiation heat transfer mechanisms. Students will study Fourier's law, Newton's cooling law, and dimensionless parameters such as Nusselt, Prandtl, and Reynolds numbers. The course includes laboratory sessions where students conduct experiments to validate theoretical models and develop proficiency in heat exchanger design.
Control Systems
Control systems form the backbone of modern engineering applications, from aerospace vehicles to industrial robots. This course covers system modeling, transfer functions, block diagrams, stability analysis, and controller design techniques including PID controllers and state-space methods. Students will gain hands-on experience with MATLAB/Simulink for simulation and real-time control implementation.
Finite Element Analysis
This course introduces students to the finite element method (FEM) as a numerical technique for solving complex engineering problems. Topics include mesh generation, boundary conditions, material properties, and solution algorithms. Students will use commercial software packages like ANSYS and ABAQUS to analyze structural, thermal, and fluid dynamics problems.
Renewable Energy Technologies
This elective explores various renewable energy sources including solar, wind, hydroelectric, geothermal, and biomass. Students will study energy conversion processes, system design, and environmental impacts. The course includes case studies of successful renewable energy projects and practical laboratory experiments involving photovoltaic cells and wind turbines.
Advanced Materials and Composites
This course covers the structure-property relationships of advanced materials including ceramics, polymers, metals, and composites. Students will learn about material processing techniques, mechanical behavior, and applications in aerospace, automotive, and biomedical industries. The laboratory component includes composite fabrication and testing methods.
Robotics and Automation
This course provides a comprehensive introduction to robotics including kinematics, dynamics, sensor integration, control systems, and artificial intelligence. Students will design and build robotic systems using microcontrollers, sensors, actuators, and programming languages such as Python and C++. The course includes hands-on labs with industrial robots from companies like ABB and Fanuc.
Sustainable Engineering Practices
This elective emphasizes sustainable development principles in engineering practice. Topics include life cycle assessment, environmental impact analysis, resource conservation, and circular economy concepts. Students will work on projects that integrate sustainability criteria into product design and manufacturing processes.
Smart Manufacturing Systems
This course explores Industry 4.0 technologies including IoT, cloud computing, big data analytics, and smart factory automation. Students will study digital twins, predictive maintenance, machine learning algorithms, and cyber-physical systems. The course includes visits to smart manufacturing facilities and hands-on experience with industrial automation tools.
Project-Based Learning Philosophy
The department's philosophy on project-based learning emphasizes experiential education as a core component of the curriculum. Projects are designed to mirror real-world engineering challenges, encouraging students to apply theoretical knowledge in practical contexts. The approach promotes teamwork, creativity, and critical thinking skills essential for professional success.
Mini-projects are introduced in the second year, allowing students to explore fundamental concepts through hands-on experiments. These projects often involve designing and testing simple mechanical systems or conducting research on specific engineering problems. Students are encouraged to present their findings to peers and faculty, fostering a culture of scientific communication and peer feedback.
The final-year capstone project is a significant component of the program, requiring students to undertake an independent research or design initiative under the guidance of a faculty mentor. The project spans both semesters of the final year, providing students with sufficient time to complete complex tasks and develop comprehensive documentation. Evaluation criteria include technical quality, innovation, presentation skills, and professional conduct.
Students select their projects based on interests, availability of mentors, and alignment with departmental research areas. Faculty members provide guidance on project scope, methodology, and resource allocation. The selection process ensures that each student works on a topic that challenges them academically while offering opportunities for growth and learning.