Course Structure Overview
The Fluid Mechanics program is structured over 8 semesters, with a balanced mix of core science subjects, departmental electives, and practical lab work. Below is a detailed breakdown of all courses across the duration:
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MATH101 | Mathematics I | 3-1-0-4 | - |
| 1 | PHYS101 | Physics I | 3-1-0-4 | - |
| 1 | ENG101 | Engineering Graphics & Design | 2-0-2-3 | - |
| 1 | CS101 | Introduction to Programming | 2-0-2-3 | - |
| 1 | MECH101 | Basic Mechanics | 3-1-0-4 | - |
| 1 | ENGL101 | English Communication Skills | 2-0-0-2 | - |
| 2 | MATH102 | Mathematics II | 3-1-0-4 | MATH101 |
| 2 | PHYS102 | Physics II | 3-1-0-4 | PHYS101 |
| 2 | CHEM101 | Chemistry for Engineers | 3-1-0-4 | - |
| 2 | MECH102 | Mechanics of Materials | 3-1-0-4 | MECH101 |
| 2 | CS102 | Data Structures & Algorithms | 2-0-2-3 | CS101 |
| 2 | ENG102 | Engineering Thermodynamics | 3-1-0-4 | - |
| 3 | MATH201 | Mathematics III | 3-1-0-4 | MATH102 |
| 3 | PHYS201 | Thermodynamics & Heat Transfer | 3-1-0-4 | PHYS102 |
| 3 | MECH201 | Fluid Statics and Dynamics | 3-1-0-4 | MECH102 |
| 3 | CS201 | Object-Oriented Programming | 2-0-2-3 | CS102 |
| 3 | ENG201 | Electrical Circuits and Electronics | 3-1-0-4 | - |
| 3 | MECH202 | Strength of Materials | 3-1-0-4 | MECH102 |
| 4 | MATH202 | Mathematics IV | 3-1-0-4 | MATH201 |
| 4 | PHYS202 | Fluid Mechanics and Hydraulics | 3-1-0-4 | PHYS201 |
| 4 | MECH301 | Computational Fluid Dynamics | 3-1-0-4 | MECH201 |
| 4 | CS202 | Database Management Systems | 2-0-2-3 | CS201 |
| 4 | ENG202 | Signals and Systems | 3-1-0-4 | - |
| 4 | MECH302 | Heat Transfer | 3-1-0-4 | PHYS201 |
| 5 | MECH401 | Advanced Fluid Mechanics | 3-1-0-4 | MECH301 |
| 5 | MECH402 | Turbulent Flow Analysis | 3-1-0-4 | MECH301 |
| 5 | CS301 | Machine Learning | 2-0-2-3 | CS202 |
| 5 | ENG301 | Control Systems | 3-1-0-4 | - |
| 5 | MECH501 | Boundary Layer Theory | 3-1-0-4 | MECH301 |
| 5 | MECH502 | Hydrodynamics and Wave Motion | 3-1-0-4 | PHYS202 |
| 6 | MECH601 | Renewable Energy Systems | 3-1-0-4 | MECH501 |
| 6 | MECH602 | Biomedical Fluid Mechanics | 3-1-0-4 | MECH502 |
| 6 | CS302 | Computer Vision | 2-0-2-3 | CS301 |
| 6 | ENG302 | Digital Signal Processing | 3-1-0-4 | ENG202 |
| 6 | MECH701 | Environmental Hydraulics | 3-1-0-4 | MECH502 |
| 6 | MECH702 | Industrial Process Optimization | 3-1-0-4 | MECH601 |
| 7 | MECH801 | Aerodynamics and Propulsion | 3-1-0-4 | MECH701 |
| 7 | MECH802 | Marine Engineering | 3-1-0-4 | MECH702 |
| 7 | CS401 | Deep Learning | 2-0-2-3 | CS302 |
| 7 | ENG401 | System Dynamics and Control | 3-1-0-4 | ENG301 |
| 7 | MECH901 | Nano-Fluidics and Microfluidics | 3-1-0-4 | MECH801 |
| 7 | MECH902 | Advanced CFD Techniques | 3-1-0-4 | MECH802 |
| 8 | MECH1001 | Final Year Project (Capstone) | 6-0-0-6 | All previous semesters |
| 8 | MECH1002 | Research Methodology | 2-0-0-2 | - |
| 8 | CS402 | Capstone Project | 6-0-0-6 | CS401 |
| 8 | ENG402 | Project Management | 2-0-0-2 | - |
| 8 | MECH1003 | Mini Project I & II | 4-0-0-4 | MECH902 |
Advanced Departmental Electives
These advanced elective courses are designed to deepen understanding and apply fluid mechanics principles in specialized contexts:
- Computational Fluid Dynamics (CFD): This course covers numerical methods for solving Navier-Stokes equations, turbulence modeling, grid generation techniques, and practical applications using industry-standard software like ANSYS Fluent and STAR-CCM+. Students learn to simulate complex fluid flows in engineering systems.
- Turbulent Flow Analysis: A comprehensive study of turbulent flow characteristics, including statistical methods, eddy viscosity models, and large-eddy simulation techniques. Emphasis is placed on experimental validation and computational approaches for predicting turbulence behavior in real-world scenarios.
- Boundary Layer Theory: This course explores the fundamental concepts of boundary layer development, transition phenomena, separation effects, and control strategies. Applications include aerodynamic design optimization and heat transfer enhancement in engineering systems.
- Hydrodynamics and Wave Motion: An advanced treatment of wave propagation, including linear and nonlinear wave equations, shallow water theory, and coastal engineering applications. Students gain insight into oceanographic modeling and marine structure interaction with waves.
- Biomedical Fluid Mechanics: Focuses on the application of fluid mechanics principles in biological systems, including cardiovascular flow, respiratory mechanics, and drug delivery mechanisms. The course integrates mathematical modeling with experimental data to understand physiological processes.
- Renewable Energy Systems: This course examines energy conversion technologies using wind, hydroelectricity, and solar power. Students analyze turbine designs, fluid characteristics in hydropower systems, and optimization strategies for renewable energy generation.
- Environmental Hydraulics: Covers water resource management, flood prediction models, sediment transport processes, and ecological impact assessments. The course emphasizes sustainable solutions for water engineering challenges.
- Industrial Process Optimization: Applies fluid mechanics principles to optimize manufacturing processes involving fluid handling, pipeline systems, and flow control. Topics include process design, efficiency analysis, and cost-benefit evaluation.
- Aerodynamics and Propulsion: Focuses on aerodynamic design of aircraft and propulsion systems. Students study lift and drag characteristics, engine performance, and flight dynamics using computational tools and experimental validation.
- Marine Engineering: Explores ship hydrodynamics, offshore structures, and marine environment interactions. The course includes wave resistance analysis, ship stability, and structural design considerations for maritime applications.
- Nano-Fluidics and Microfluidics: Investigates fluid behavior at microscopic scales with applications in lab-on-chip devices, microelectromechanical systems (MEMS), and biomedical diagnostics. Students learn about surface tension effects, flow control, and device fabrication techniques.
- Advanced CFD Techniques: Advanced numerical methods for solving complex fluid dynamics problems using high-performance computing resources. Includes topics such as adaptive mesh refinement, multiphase flow modeling, and parallel computing algorithms.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that real-world experience enhances academic understanding and prepares students for professional success. Projects are designed to mirror actual industry challenges, encouraging students to apply theoretical knowledge creatively and collaboratively.
Mini-projects begin in the second year and continue through the third year, allowing students to develop foundational skills in problem-solving, experimentation, and report writing. These projects typically last 4-6 weeks and involve teams of 3-5 students working under faculty supervision. Evaluation criteria include technical execution, innovation, presentation quality, and peer feedback.
The final-year capstone project is a significant undertaking that spans the entire eighth semester. Students select a topic aligned with their interests or industry needs, propose a research plan, and execute it over 12 weeks. A faculty mentor guides the student throughout the process, providing expertise in methodology, data interpretation, and technical writing.
Project selection involves a proposal submission phase where students present their ideas to a panel of faculty members. The proposal is evaluated based on feasibility, relevance, originality, and potential impact. Once selected, students work closely with mentors to refine their approach and ensure alignment with program objectives.