Curriculum
The curriculum of the Bachelor of Mechanical Engineering program at Prashanti Institute of Technology and Science is meticulously structured over eight semesters to ensure a progressive and comprehensive understanding of mechanical engineering principles and practices.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | MATH101 | Calculus and Differential Equations | 4-0-0-4 | None |
| I | PHYS101 | Physics for Engineers | 3-0-0-3 | None |
| I | CHM101 | Chemistry for Engineers | 3-0-0-3 | None |
| I | CPROG101 | Computer Programming in C | 2-0-2-4 | None |
| I | EG101 | Engineering Graphics and Design | 2-0-2-4 | None |
| I | MECH101 | Introduction to Mechanical Engineering | 2-0-0-2 | None |
| I | MATH102 | Linear Algebra and Vector Calculus | 3-0-0-3 | MATH101 |
| I | PHYS102 | Thermodynamics and Statistical Mechanics | 3-0-0-3 | PHYS101 |
| I | MECH102 | Mechanics of Solids | 3-0-0-3 | MECH101 |
| I | CHM102 | Materials Science and Engineering | 3-0-0-3 | CHM101 |
| I | CPROG102 | Object-Oriented Programming in C++ | 2-0-2-4 | CPROG101 |
| I | EG102 | Computer Aided Drafting (CAD) | 2-0-2-4 | EG101 |
| II | MATH201 | Probability and Statistics | 3-0-0-3 | MATH102 |
| II | PHYS201 | Fluid Mechanics and Hydraulic Machines | 3-0-0-3 | PHYS102 |
| II | MECH201 | Mechanics of Machines | 3-0-0-3 | MECH102 |
| II | MECH202 | Manufacturing Processes | 3-0-0-3 | MECH101 |
| II | CPROG201 | Data Structures and Algorithms | 3-0-2-5 | CPROG102 |
| II | MECH203 | Strength of Materials | 3-0-0-3 | MECH102 |
| II | EG201 | Engineering Economics and Management | 2-0-0-2 | None |
| II | MECH204 | Heat Transfer | 3-0-0-3 | PHYS201 |
| II | MECH205 | Control Systems | 3-0-0-3 | MATH201 |
| III | MECH301 | Thermodynamics and Heat Transfer | 3-0-0-3 | MECH204 |
| III | MECH302 | Mechatronics and Automation | 3-0-0-3 | MECH205 |
| III | MECH303 | Advanced Manufacturing Techniques | 3-0-0-3 | MECH202 |
| III | MECH304 | Numerical Methods and Computational Techniques | 3-0-0-3 | MATH201 |
| III | MECH305 | Robotics and Control Systems | 3-0-0-3 | MECH205 |
| III | MECH306 | Advanced Materials and Composites | 3-0-0-3 | CHM102 |
| III | MECH307 | Machine Design | 3-0-0-3 | MECH203 |
| IV | MECH401 | Renewable Energy Systems | 3-0-0-3 | MECH301 |
| IV | MECH402 | Automotive Engineering | 3-0-0-3 | MECH201 |
| IV | MECH403 | Computational Fluid Dynamics (CFD) | 3-0-0-3 | PHYS201 |
| IV | MECH404 | Smart Materials and Devices | 3-0-0-3 | MECH306 |
| IV | MECH405 | Biomechanics and Medical Devices | 3-0-0-3 | MECH201 |
| IV | MECH406 | Energy Storage Systems | 3-0-0-3 | MECH301 |
| V | MECH501 | Finite Element Analysis (FEA) | 3-0-0-3 | MECH307 |
| V | MECH502 | Advanced Control Systems | 3-0-0-3 | MECH205 |
| V | MECH503 | Artificial Intelligence for Mechanical Systems | 3-0-0-3 | MECH401 |
| V | MECH504 | Systems Integration and Modeling | 3-0-0-3 | MECH205 |
| V | MECH505 | Project Management and Entrepreneurship | 2-0-0-2 | EG201 |
| V | MECH506 | Advanced Manufacturing Processes | 3-0-0-3 | MECH303 |
| V | MECH507 | Research Methodology and Ethics | 2-0-0-2 | None |
| VI | MECH601 | Capstone Project I | 4-0-0-4 | MECH507 |
| VI | MECH602 | Capstone Project II | 4-0-0-4 | MECH601 |
| VI | MECH603 | Internship Program | 2-0-0-2 | None |
| VI | MECH604 | Elective Course I | 3-0-0-3 | None |
| VI | MECH605 | Elective Course II | 3-0-0-3 | None |
| VII | MECH701 | Mini Project | 2-0-0-2 | MECH601 |
| VII | MECH702 | Advanced Elective I | 3-0-0-3 | MECH604 |
| VII | MECH703 | Advanced Elective II | 3-0-0-3 | MECH605 |
| VIII | MECH801 | Final Year Thesis/Capstone Project | 6-0-0-6 | MECH701 |
Advanced Departmental Elective Courses
- Artificial Intelligence for Mechanical Systems: This course introduces students to machine learning algorithms and their applications in mechanical engineering, including predictive modeling, robotics control, and smart manufacturing systems.
- Computational Fluid Dynamics (CFD): Students learn numerical methods for solving fluid flow problems using software tools like ANSYS Fluent and OpenFOAM. The course covers turbulence modeling, heat transfer analysis, and aerodynamic design optimization.
- Advanced Manufacturing Techniques: This elective explores advanced manufacturing processes such as additive manufacturing (3D printing), laser cutting, electron beam welding, and micro-machining technologies used in precision engineering.
- Smart Materials and Devices: Focuses on functional materials that respond to environmental stimuli, including shape memory alloys, piezoelectric ceramics, and electroactive polymers. Applications include sensors, actuators, and adaptive structures.
- Biomechanics and Medical Devices: Students study the mechanical behavior of biological systems and apply engineering principles to design medical devices such as prosthetics, implants, and diagnostic tools.
- Energy Storage Systems: Covers battery technologies, supercapacitors, fuel cells, and other energy storage solutions for renewable energy integration and electric vehicles.
- Renewable Energy Systems: Examines solar thermal collectors, wind turbines, hydroelectric systems, and bioenergy conversion processes to develop sustainable energy solutions.
- Automotive Engineering: Focuses on vehicle dynamics, engine performance, hybrid electric vehicles, and autonomous driving technologies in modern automotive systems.
- Systems Integration and Modeling: Teaches modeling techniques for complex mechanical systems using tools like MATLAB/Simulink, state-space representation, and system identification methods.
- Finite Element Analysis (FEA): Provides students with skills in finite element method (FEM) for structural analysis, thermal simulation, and dynamic response prediction using commercial software packages.
Project-Based Learning Philosophy
Our department places a strong emphasis on project-based learning to bridge the gap between theory and practice. Projects are integrated throughout the curriculum, starting with small-scale assignments in early semesters and progressing to large, industry-aligned capstone projects in later years.
Mini-Projects
Mini-projects are undertaken during the second and third years of study, typically lasting 3-4 months. These projects allow students to apply concepts learned in core courses to real-world problems. Each mini-project is supervised by a faculty member and evaluated based on design methodology, implementation, presentation, and peer review.
Final-Year Thesis/Capstone Project
The final-year thesis/capstone project spans the entire last semester and involves working closely with industry partners or research labs. Students select their projects in consultation with faculty advisors, ensuring alignment with current technological trends and career interests. The project culminates in a formal presentation before an expert panel.
Project Selection Process
Students begin selecting projects during the third year by attending project showcases, reviewing faculty research areas, and participating in interest groups. Faculty mentors are assigned based on mutual compatibility and project requirements. Students may also propose independent projects with approval from relevant departments.