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Fees
₹8,50,000
Placement
94.5%
Avg Package
₹7,50,000
Highest Package
₹18,00,000
Fees
₹8,50,000
Placement
94.5%
Avg Package
₹7,50,000
Highest Package
₹18,00,000
Seats
200
Students
1,200
Seats
200
Students
1,200
The following table outlines all courses offered across the eight semesters of the Mechanical Engineering program, including course codes, titles, credit structure (L-T-P-C), and prerequisites.
| Semester | Course Code | Course Title | L-T-P-C | Prerequisites |
|---|---|---|---|---|
| I | MATH101 | Mathematics I | 3-1-0-4 | - |
| I | PHYS101 | Physics I | 3-1-0-4 | - |
| I | CHM101 | Chemistry I | 3-1-0-4 | - |
| I | BEE101 | Basic Electrical Engineering | 3-1-0-4 | - |
| I | MEC101 | Introduction to Mechanical Engineering | 2-0-0-2 | - |
| I | CSE101 | Introduction to Programming | 2-0-2-3 | - |
| I | MATH102 | Mathematics II | 3-1-0-4 | MATH101 |
| I | PHYS102 | Physics II | 3-1-0-4 | PHYS101 |
| I | CHM102 | Chemistry II | 3-1-0-4 | CHM101 |
| I | BEE102 | Basic Electronics Engineering | 3-1-0-4 | BEE101 |
| I | MATH201 | Mathematics III | 3-1-0-4 | MATH102 |
| I | PHYS201 | Physics III | 3-1-0-4 | PHYS102 |
| I | CHM201 | Chemistry III | 3-1-0-4 | CHM102 |
| I | BEE201 | Electrical Machines | 3-1-0-4 | BEE102 |
| I | MATH202 | Mathematics IV | 3-1-0-4 | MATH201 |
| I | PHYS202 | Physics IV | 3-1-0-4 | PHYS201 |
| I | CHM202 | Chemistry IV | 3-1-0-4 | CHM201 |
| I | BEE202 | Control Systems | 3-1-0-4 | BEE201 |
| I | MATH301 | Differential Equations | 3-1-0-4 | MATH202 |
| I | PHYS301 | Optics and Modern Physics | 3-1-0-4 | PHYS202 |
| I | CHM301 | Organic Chemistry | 3-1-0-4 | CHM202 |
| I | BEE301 | Digital Signal Processing | 3-1-0-4 | BEE202 |
| I | MATH302 | Numerical Methods | 3-1-0-4 | MATH301 |
| I | PHYS302 | Quantum Mechanics | 3-1-0-4 | PHYS301 |
| I | CHM302 | Inorganic Chemistry | 3-1-0-4 | CHM301 |
| I | BEE302 | Signal Processing | 3-1-0-4 | BEE301 |
| I | MATH401 | Probability and Statistics | 3-1-0-4 | MATH302 |
| I | PHYS401 | Thermodynamics and Statistical Mechanics | 3-1-0-4 | PHYS302 |
| I | CHM401 | Physical Chemistry | 3-1-0-4 | CHM302 |
| I | BEE401 | Electromagnetic Fields | 3-1-0-4 | BEE302 |
| I | MATH402 | Linear Algebra | 3-1-0-4 | MATH401 |
| I | PHYS402 | Optics and Lasers | 3-1-0-4 | PHYS401 |
| I | CHM402 | Chemical Kinetics | 3-1-0-4 | CHM401 |
| I | BEE402 | Antennas and Wave Propagation | 3-1-0-4 | BEE401 |
| I | MATH501 | Complex Analysis | 3-1-0-4 | MATH402 |
| I | PHYS501 | Condensed Matter Physics | 3-1-0-4 | PHYS402 |
| I | CHM501 | Biochemistry | 3-1-0-4 | CHM402 |
| I | BEE501 | Optical Communication | 3-1-0-4 | BEE402 |
| I | MATH502 | Calculus of Variations | 3-1-0-4 | MATH501 |
| I | PHYS502 | Quantum Field Theory | 3-1-0-4 | PHYS501 |
| I | CHM502 | Environmental Chemistry | 3-1-0-4 | CHM501 |
| I | BEE502 | Optical Networks | 3-1-0-4 | BEE501 |
| I | MATH601 | Advanced Calculus | 3-1-0-4 | MATH502 |
| I | PHYS601 | Relativistic Quantum Mechanics | 3-1-0-4 | PHYS502 |
| I | CHM601 | Medicinal Chemistry | 3-1-0-4 | CHM502 |
| I | BEE601 | Wireless Communication Systems | 3-1-0-4 | BEE502 |
| I | MATH602 | Advanced Differential Equations | 3-1-0-4 | MATH601 |
| I | PHYS602 | Advanced Condensed Matter Physics | 3-1-0-4 | PHYS601 |
| I | CHM602 | Nuclear Chemistry | 3-1-0-4 | CHM601 |
| I | BEE602 | Mobile Networks | 3-1-0-4 | BEE601 |
Advanced departmental electives provide students with in-depth knowledge and specialized skills relevant to their chosen career paths. Below are descriptions of several key courses:
This course explores cutting-edge manufacturing techniques including additive manufacturing (3D printing), precision machining, and automation systems. Students learn about material selection, process optimization, and quality control in modern manufacturing environments.
Learning objectives include understanding the fundamentals of rapid prototyping, mastering CAD/CAM software tools, and developing expertise in industrial robotics and smart factory concepts. The course includes laboratory sessions where students build functional prototypes using various manufacturing technologies.
This elective delves into numerical methods for solving fluid flow problems using computational tools. Topics include Navier-Stokes equations, turbulence modeling, and simulation software like ANSYS Fluent and OpenFOAM.
Students gain hands-on experience in setting up simulations, interpreting results, and validating models against experimental data. The course prepares students for careers in aerospace, automotive, and energy sectors where fluid dynamics plays a crucial role.
This course addresses sustainable energy solutions including solar, wind, hydroelectric, and nuclear power generation. Students examine environmental impacts, efficiency metrics, and policy frameworks governing renewable energy adoption.
Through case studies and group projects, students develop skills in energy system design, lifecycle analysis, and project evaluation. The course emphasizes practical applications of sustainable technologies in real-world scenarios.
This course combines mechanical engineering principles with electronics and computer science to design intelligent robotic systems. Students learn about sensors, actuators, control algorithms, and programming languages used in robotics.
The curriculum includes building functional robots from scratch, implementing sensor fusion techniques, and developing autonomous navigation systems. Projects range from simple mobile robots to complex manipulator arms used in manufacturing.
This course covers the structure-property relationships of various materials including metals, ceramics, polymers, and composites. Students explore synthesis methods, processing techniques, and characterization tools used in material development.
Through laboratory experiments and research projects, students gain practical experience in material testing, failure analysis, and performance optimization. The course prepares students for roles in materials R&D, quality assurance, and product development.
This elective focuses on the design and analysis of mechanical components under various loading conditions. Students study stress analysis, fatigue life prediction, and design optimization techniques.
The course includes both theoretical lectures and practical labs where students design and test mechanical systems using finite element analysis (FEA) software. Projects involve designing gears, shafts, springs, and other common machine elements.
This course covers heat transfer principles, thermodynamic cycles, and thermal system design. Students learn about conduction, convection, radiation, and their applications in engineering systems.
Laboratory sessions include experiments on heat exchangers, refrigeration systems, and combustion processes. The course prepares students for careers in power generation, HVAC design, and energy management.
This course integrates computer technology into manufacturing processes through topics like computer numerical control (CNC), enterprise resource planning (ERP), and digital manufacturing platforms.
Students gain experience with industrial software tools, automation systems, and data analytics in manufacturing contexts. The course emphasizes the role of information technology in improving productivity and efficiency.
This course examines dynamic behavior of mechanical systems including free and forced vibrations, modal analysis, and vibration control methods. Students learn to model complex systems using mathematical techniques and simulation tools.
The curriculum includes both theoretical derivations and practical experiments involving vibration measurement, system identification, and damping techniques. Applications span automotive, aerospace, and structural engineering domains.
This course introduces classical and modern control theory with emphasis on feedback systems, stability analysis, and controller design. Students learn to model dynamic systems and implement automated control strategies.
Through laboratory experiments and simulation projects, students gain proficiency in designing and tuning controllers for various mechanical systems. The course prepares graduates for roles in industrial automation, robotics, and process control.
This elective provides comprehensive training in finite element analysis (FEA) for solving complex engineering problems. Students learn mesh generation, element selection, boundary condition application, and result interpretation.
The course includes hands-on sessions using commercial FEA software like ANSYS and ABAQUS. Projects involve analyzing structures, thermal systems, and fluid flows under realistic conditions to predict performance and failure.
This course teaches principles of designing products that are easy to manufacture and assemble while meeting functional requirements. Topics include design for cost, manufacturability, standardization, and assembly planning.
Students work on real-world projects involving product redesign and optimization for production efficiency. The course emphasizes collaboration between design engineers and manufacturing teams.
This advanced course extends basic thermodynamic principles to include non-equilibrium processes, entropy generation, and exergy analysis. Students explore applications in power plants, refrigeration systems, and energy conversion technologies.
The curriculum includes problem-solving sessions and case studies involving real-world engineering challenges. Students develop skills in thermodynamic cycle optimization and energy system evaluation.
This course covers measurement techniques, precision instruments, and quality assurance methodologies used in engineering applications. Students learn about tolerance analysis, statistical process control, and metrology standards.
Laboratory sessions involve using various measuring tools and performing calibration procedures. The course prepares students for roles in quality assurance, inspection, and manufacturing control.
This course examines renewable energy sources including solar photovoltaics, wind turbines, hydroelectric systems, and geothermal power plants. Students learn about energy conversion efficiency, system integration, and economic analysis.
Through design projects and site visits, students gain insights into the practical implementation of renewable technologies. The course addresses environmental considerations and policy frameworks supporting clean energy adoption.
Our department strongly advocates for project-based learning as a core component of engineering education. This approach ensures that students develop critical thinking skills, apply theoretical concepts to real-world problems, and gain practical experience in engineering design and implementation.
The mandatory mini-projects are designed to build foundational skills early in the program. Students work individually or in small teams on tasks that require research, experimentation, and documentation. These projects typically span two to three weeks and are assessed based on technical accuracy, presentation quality, and teamwork effectiveness.
Mini-project topics include designing a simple mechanical system, analyzing stress distribution in a structure, or developing a basic control algorithm for an automated device. Each project requires students to follow a structured methodology including literature review, hypothesis formulation, experimental design, data collection, analysis, and conclusion drawing.
The final-year thesis/capstone project is a significant undertaking that spans the entire semester. Students select projects aligned with their interests and career goals, often in collaboration with industry partners or faculty research groups. These projects require extensive literature review, system design, prototype development, testing, and documentation.
Project selection involves a formal proposal process where students present their ideas to faculty mentors who guide them through the implementation phase. Regular progress meetings ensure timely completion and maintain quality standards throughout the project lifecycle.
