Comprehensive Course Listing Table
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | MATH101 | Calculus and Differential Equations | 3-1-0-4 | - |
| I | PHYS101 | Physics for Engineers | 3-1-0-4 | - |
| I | ENG101 | Introduction to Engineering | 2-0-2-3 | - |
| I | CSE101 | Basic Programming Concepts | 2-0-2-3 | - |
| I | MAT101 | Engineering Materials | 3-1-0-4 | - |
| I | LIT101 | Communication Skills | 2-0-0-2 | - |
| II | MATH201 | Linear Algebra and Numerical Methods | 3-1-0-4 | MATH101 |
| II | PHYS201 | Thermodynamics and Heat Transfer | 3-1-0-4 | PHYS101 |
| II | ENG201 | Mechanics of Solids | 3-1-0-4 | - |
| II | CSE201 | Data Structures and Algorithms | 2-0-2-3 | CSE101 |
| II | MAT201 | Mechanics of Fluids | 3-1-0-4 | MAT101 |
| III | MATH301 | Probability and Statistics | 3-1-0-4 | MATH201 |
| III | ENG301 | Machine Design | 3-1-0-4 | ENG201 |
| III | CSE301 | Computer-Aided Design | 2-0-2-3 | CSE201 |
| III | MAT301 | Manufacturing Processes | 3-1-0-4 | MAT201 |
| III | ENG302 | Control Systems | 3-1-0-4 | - |
| IV | MATH401 | Advanced Mathematics | 3-1-0-4 | MATH301 |
| IV | ENG401 | Thermal Engineering | 3-1-0-4 | PHYS201 |
| IV | CSE401 | Simulation and Modeling | 2-0-2-3 | CSE301 |
| IV | MAT401 | Advanced Materials | 3-1-0-4 | MAT301 |
| IV | ENG402 | Renewable Energy Systems | 3-1-0-4 | - |
| V | MATH501 | Optimization Techniques | 3-1-0-4 | MATH401 |
| V | ENG501 | Robotics and Automation | 3-1-0-4 | ENG302 |
| V | CSE501 | Artificial Intelligence in Engineering | 2-0-2-3 | CSE401 |
| V | MAT501 | Nanomaterials and Their Applications | 3-1-0-4 | MAT401 |
| V | ENG502 | Biomedical Engineering Principles | 3-1-0-4 | - |
| VI | MATH601 | Advanced Computational Methods | 3-1-0-4 | MATH501 |
| VI | ENG601 | Sustainable Manufacturing | 3-1-0-4 | ENG501 |
| VI | CSE601 | Embedded Systems in Engineering | 2-0-2-3 | CSE501 |
| VI | MAT601 | Energy Storage Technologies | 3-1-0-4 | MAT501 |
| VI | ENG602 | Project Management in Engineering | 3-1-0-4 | - |
| VII | MATH701 | Research Methodology | 3-1-0-4 | - |
| VII | ENG701 | Capstone Project I | 2-0-4-5 | - |
| VIII | MATH801 | Advanced Research Project | 2-0-6-7 | MATH701 |
| VIII | ENG801 | Capstone Project II | 2-0-4-5 | - |
The curriculum emphasizes project-based learning, where students work on both mini-projects and a final-year capstone project. Mini-projects are typically completed in the second and fourth semesters, involving problem-solving tasks that integrate multiple disciplines.
The final-year thesis or capstone project is a significant component of the program, allowing students to apply their knowledge to real-world engineering challenges. Students select projects in consultation with faculty mentors based on their interests and career goals. The evaluation criteria include technical depth, innovation, presentation skills, and teamwork.
Advanced Departmental Elective Courses
Computational Fluid Dynamics (CFD): This course delves into numerical methods for solving fluid flow problems using computational tools. Students learn to simulate complex flows using software like ANSYS Fluent and OpenFOAM, applying these skills to aerodynamic design and heat transfer analysis.
Nanomaterials and Their Applications: This advanced elective explores the synthesis and characterization of nanoscale materials and their applications in engineering systems. Topics include carbon nanotubes, quantum dots, and polymer composites, with emphasis on manufacturing processes and industrial relevance.
Renewable Energy Systems: Students study various renewable energy sources including solar, wind, hydroelectric, and geothermal systems. The course covers design principles, efficiency optimization, and integration strategies for sustainable energy solutions.
Sustainable Manufacturing: Focused on eco-friendly manufacturing practices, this course examines lifecycle assessment, waste reduction techniques, and resource efficiency in production processes. It also introduces green technologies and their implementation in industry.
Biomedical Engineering Principles: Combining mechanical engineering with biological systems, this course explores medical device design, biomechanics, and tissue engineering. Students gain exposure to biofluid mechanics and prosthetic development.
Robotics and Automation: This course covers robotics fundamentals, control systems, sensor integration, and automation technologies. Students build autonomous robots and learn programming languages like Python and ROS (Robot Operating System).
Advanced Materials Science: An in-depth exploration of material properties and behavior under various conditions. The course includes polymer science, ceramic engineering, metal alloys, and smart materials.
Energy Storage Technologies: Students examine current and emerging energy storage systems including batteries, supercapacitors, and fuel cells. The course addresses challenges in energy conversion, storage capacity, and scalability.
Project Management in Engineering: This elective teaches project planning, risk management, resource allocation, and quality assurance principles. It prepares students for leadership roles in engineering organizations.
Artificial Intelligence in Engineering: Integrating AI concepts with engineering applications, this course focuses on machine learning algorithms, neural networks, and predictive modeling in engineering contexts.
Advanced Computational Methods: This course enhances understanding of numerical techniques for solving complex engineering problems. Students utilize finite element analysis, computational fluid dynamics, and optimization algorithms.
Embedded Systems in Engineering: Designed to introduce students to embedded system design, this elective covers microcontrollers, real-time operating systems, and IoT integration in engineering applications.
Research Methodology: A foundational course for thesis preparation, covering experimental design, data collection, statistical analysis, and scientific writing. It prepares students for conducting independent research projects.
Capstone Project I & II: These two semesters-long capstone experiences allow students to undertake comprehensive engineering projects from concept to implementation. Projects are supervised by faculty members with industry ties, ensuring relevance and impact.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is centered around the idea that hands-on experience drives deeper understanding and innovation. The approach involves iterative design cycles, where students identify problems, brainstorm solutions, prototype ideas, test outcomes, and refine designs based on feedback.
Mini-projects are assigned in the second and fourth semesters, with each project lasting approximately 8 weeks. These projects encourage collaboration among peers, critical thinking, and application of theoretical knowledge to practical scenarios. Evaluation includes peer reviews, faculty assessments, and presentations.
The final-year thesis or capstone project is a more extensive endeavor, spanning two semesters. Students choose topics aligned with their interests and career aspirations, often collaborating with industry partners or faculty research groups. The process involves proposal development, literature review, experimental design, data analysis, and final presentation.
Faculty mentors are assigned based on student preferences and expertise areas. The mentorship model ensures personalized guidance throughout the project lifecycle, fostering academic growth and professional readiness.