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Fees
₹2,00,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Fees
₹2,00,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Seats
150
Students
1,200
Seats
150
Students
1,200
The curriculum of the Mechanical Engineering program at Al Falah University Faridabad is structured to provide a balanced mix of theoretical knowledge and practical experience. Over eight semesters, students progress from foundational sciences to advanced engineering principles and finally to specialized areas of interest.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisite |
|---|---|---|---|---|
| 1 | MATH101 | Calculus and Analytical Geometry | 3-1-0-4 | None |
| 1 | PHYS101 | Physics for Engineers | 3-1-0-4 | None |
| 1 | CHEM101 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ENG101 | Engineering Drawing and Graphics | 2-1-0-3 | None |
| 1 | COMP101 | Introduction to Programming | 2-1-0-3 | None |
| 2 | MATH102 | Differential Equations | 3-1-0-4 | MATH101 |
| 2 | PHYS102 | Thermodynamics and Statistical Physics | 3-1-0-4 | PHYS101 |
| 2 | CHEM102 | Organic Chemistry | 3-1-0-4 | CHEM101 |
| 2 | ENG102 | Computer Programming | 2-1-0-3 | COMP101 |
| 2 | ENGG101 | Engineering Mechanics | 3-1-0-4 | None |
| 3 | MATH201 | Linear Algebra and Vector Calculus | 3-1-0-4 | MATH102 |
| 3 | PHYS201 | Electromagnetic Fields | 3-1-0-4 | PHYS102 |
| 3 | MECH201 | Strength of Materials | 3-1-0-4 | ENGG101 |
| 3 | MECH202 | Fluid Mechanics | 3-1-0-4 | PHYS201 |
| 3 | COMP201 | Data Structures and Algorithms | 3-1-0-4 | COMP101 |
| 4 | MATH202 | Numerical Methods | 3-1-0-4 | MATH201 |
| 4 | MECH203 | Thermodynamics | 3-1-0-4 | PHYS201 |
| 4 | MECH204 | Mechanics of Machines | 3-1-0-4 | MECH201 |
| 4 | COMP202 | Object-Oriented Programming | 3-1-0-4 | COMP201 |
| 4 | ENGG201 | Engineering Economics | 3-1-0-4 | MATH201 |
| 5 | MECH301 | Machine Design | 3-1-0-4 | MECH204 |
| 5 | MECH302 | Heat Transfer | 3-1-0-4 | MECH203 |
| 5 | MECH303 | Manufacturing Processes | 3-1-0-4 | MECH201 |
| 5 | MECH304 | Control Systems | 3-1-0-4 | MATH202 |
| 5 | COMP301 | Database Management Systems | 3-1-0-4 | COMP202 |
| 6 | MECH401 | Turbo Machinery | 3-1-0-4 | MECH302 |
| 6 | MECH402 | Computer-Aided Design | 3-1-0-4 | COMP301 |
| 6 | MECH403 | Materials Science | 3-1-0-4 | MECH201 |
| 6 | MECH404 | Advanced Thermodynamics | 3-1-0-4 | MECH203 |
| 6 | COMP401 | Artificial Intelligence | 3-1-0-4 | COMP301 |
| 7 | MECH501 | Project Work I | 2-0-0-2 | MECH301, MECH302 |
| 7 | MECH502 | Mini Project | 2-0-0-2 | MECH402 |
| 7 | MECH503 | Elective Course I | 3-1-0-4 | Depends on Elective |
| 7 | MECH504 | Elective Course II | 3-1-0-4 | Depends on Elective |
| 7 | COMP501 | Research Methodology | 2-1-0-3 | None |
| 8 | MECH601 | Final Year Project | 4-0-0-4 | MECH501, MECH502 |
| 8 | MECH602 | Internship | 2-0-0-2 | None |
| 8 | MECH603 | Elective Course III | 3-1-0-4 | Depends on Elective |
| 8 | MECH604 | Elective Course IV | 3-1-0-4 | Depends on Elective |
| 8 | COMP601 | Capstone Project | 2-0-0-2 | MECH503, MECH504 |
Advanced courses in mechanical engineering offer students opportunities to specialize in various fields and gain deeper insights into their areas of interest. These electives are designed to align with current industry trends and research developments.
This elective course focuses on the design and implementation of robotic systems. Students learn about sensors, actuators, control systems, and programming languages used in robotics. The course includes hands-on projects involving robot assembly, motion planning, and machine learning integration.
The learning objectives include understanding kinematics and dynamics of robotic systems, designing autonomous robots, and implementing control algorithms for robotic applications. The relevance of this course is evident in the growing demand for automation in manufacturing industries and robotics research centers.
Biomechanics combines principles of mechanics with biology to study biological systems. This course covers topics such as human movement analysis, material properties of biological tissues, and design of prosthetic devices.
Students engage in laboratory sessions where they analyze gait patterns using motion capture technology and develop models for bone stress analysis. The relevance extends to medical device development and sports performance optimization.
This course explores various renewable energy sources including solar, wind, hydroelectric, and geothermal systems. Students study energy conversion processes, system design, and environmental impacts of different technologies.
The learning objectives encompass understanding energy storage mechanisms, optimizing power generation efficiency, and evaluating sustainability aspects of renewable technologies. This is highly relevant given the global shift towards sustainable development goals.
CFD is a powerful tool for analyzing fluid flow behavior in engineering applications. This course introduces students to numerical methods for solving Navier-Stokes equations and using commercial software like ANSYS Fluent and OpenFOAM.
Students learn to model complex flows, interpret simulation results, and validate models against experimental data. The relevance is significant in aerospace, automotive, and chemical industries where fluid behavior affects product performance.
This course delves into advanced materials including composites, nanomaterials, and smart materials. Students study material characterization techniques, synthesis methods, and applications in engineering systems.
The learning objectives include understanding crystal structures, phase diagrams, and mechanical properties of advanced materials. This is crucial for developing lightweight components in aerospace and automotive industries.
This elective covers modern manufacturing technologies including additive manufacturing, lean manufacturing, and automation principles. Students learn about production planning, quality control, and system optimization techniques.
The relevance includes preparing students for roles in manufacturing industries where efficiency and innovation are key drivers of competitiveness. The course emphasizes practical applications through case studies and lab sessions.
This course focuses on vehicle dynamics, engine design, and powertrain systems. Students study internal combustion engines, electric vehicles, and hybrid propulsion technologies.
The learning objectives include understanding vehicle performance characteristics, designing automotive components, and integrating advanced control systems. This is highly relevant in the automotive industry's transition towards electrification and autonomous driving.
This course explores various energy storage technologies including batteries, supercapacitors, and compressed air systems. Students study charging mechanisms, efficiency optimization, and integration strategies.
The relevance is critical in the context of renewable energy integration and electric vehicle development. The course includes practical experiments with different storage devices to understand their operational characteristics.
This course extends fundamental thermodynamic principles to complex systems including refrigeration cycles, combustion processes, and heat exchanger design. Students learn advanced analytical techniques and apply them to real-world problems.
The learning objectives include mastering energy conversion efficiency, designing thermal systems, and evaluating environmental impact of thermodynamic processes. This is essential for careers in power generation and energy management.
This elective covers the entire product development lifecycle from concept to market launch. Students engage in design thinking workshops, prototyping exercises, and user experience research.
The relevance is significant in industries where innovation and customer satisfaction drive success. The course includes team-based projects that simulate real-world design challenges.
At Al Falah University Faridabad, project-based learning forms the cornerstone of our mechanical engineering curriculum. This pedagogical approach ensures that students not only understand theoretical concepts but also apply them to solve practical problems.
The mandatory mini-projects begin in the second year and involve teams of 3-5 students working on real-world challenges assigned by faculty members or industry partners. These projects are designed to develop problem-solving skills, teamwork abilities, and technical competencies.
Each project follows a structured process including problem identification, literature review, design formulation, prototype development, testing, and documentation. Students receive regular feedback from mentors throughout the project cycle.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire academic year. Students select a topic aligned with their specialization or personal interest and work closely with faculty advisors to conduct in-depth research or develop innovative solutions.
Project selection involves a formal process where students submit proposals, undergo peer reviews, and receive approval from departmental committees. Faculty mentors are assigned based on expertise alignment and availability.
Evaluation criteria include technical depth, innovation level, presentation quality, team collaboration, and adherence to deadlines. The final deliverables typically include a research paper, prototype demonstration, and oral presentation.
