Curriculum Overview

The Mechanical Engineering program at Adani University Ahmedabad is meticulously structured to provide a balanced mix of foundational knowledge, core engineering principles, and specialized applications. The curriculum spans eight semesters and includes core courses, departmental electives, science electives, and laboratory components.

Course Structure by Semester

Semester	Course Code	Course Title	L-T-P-C	Prerequisite
I	MATH101	Engineering Mathematics I	3-1-0-4	None
I	PHYS101	Physics for Engineers	3-1-0-4	None
I	CHEM101	Basic Chemistry	3-1-0-4	None
I	ENG101	Engineering Graphics & Design	2-1-0-3	None
I	MECH101	Introduction to Mechanical Engineering	2-0-0-2	None
I	ENGL101	English for Engineers	2-0-0-2	None
I	LAB101	Basic Engineering Lab	0-0-3-2	None
II	MATH102	Engineering Mathematics II	3-1-0-4	MATH101
II	PHYS102	Thermodynamics	3-1-0-4	PHYS101
II	MATH201	Engineering Mathematics III	3-1-0-4	MATH102
II	MECH201	Strength of Materials	3-1-0-4	MECH101
II	LAB201	Engineering Mechanics Lab	0-0-3-2	MECH101
III	MECH301	Fluid Mechanics	3-1-0-4	MATH201
III	MECH302	Heat Transfer	3-1-0-4	PHYS102
III	MECH303	Mechanics of Machines	3-1-0-4	MECH201
III	LAB301	Fluid and Heat Transfer Lab	0-0-3-2	MECH301, MECH302
IV	MECH401	Machine Design	3-1-0-4	MECH303
IV	MECH402	Manufacturing Processes	3-1-0-4	MECH301
IV	MECH403	Control Systems	3-1-0-4	MATH201
IV	LAB401	Manufacturing and Machine Design Lab	0-0-3-2	MECH401, MECH402
V	MECH501	Advanced Thermodynamics	3-1-0-4	MECH302
V	MECH502	Computer Applications in Engineering	2-1-0-3	MATH102
V	MECH503	Engineering Economics	2-1-0-3	MATH201
V	LAB501	Control Systems and Computer Applications Lab	0-0-3-2	MECH403, MECH502
VI	MECH601	Energy Conversion Systems	3-1-0-4	MECH501
VI	MECH602	Renewable Energy Technologies	3-1-0-4	MECH501
VI	MECH603	Sustainable Engineering Practices	3-1-0-4	MECH502
VI	LAB601	Sustainable Energy Systems Lab	0-0-3-2	MECH601, MECH602
VII	MECH701	Advanced Manufacturing Techniques	3-1-0-4	MECH402
VII	MECH702	Robotics and Automation	3-1-0-4	MECH403
VII	MECH703	Computational Fluid Dynamics	3-1-0-4	MECH301
VII	LAB701	Advanced Robotics and Manufacturing Lab	0-0-3-2	MECH701, MECH702
VIII	MECH801	Capstone Project	0-0-6-6	All previous semesters
VIII	MECH802	Industrial Training	0-0-0-4	All previous semesters

Advanced Departmental Electives

Departmental electives in the Mechanical Engineering program at Adani University Ahmedabad are designed to allow students to explore specialized areas based on their interests and career goals. These courses offer advanced knowledge and practical skills that prepare students for roles in emerging fields.

Introduction to Machine Learning

This course introduces fundamental concepts of machine learning and their application in mechanical systems. Students learn algorithms such as linear regression, decision trees, clustering, and neural networks. Practical applications include predictive maintenance, quality control, and autonomous system design.

Neural Networks and Deep Learning

Building on introductory courses, this subject delves into advanced architectures of neural networks, including convolutional and recurrent networks. Students gain experience in training deep learning models using frameworks like TensorFlow and PyTorch for tasks such as image recognition and signal processing.

AI in Robotics

This course explores how artificial intelligence is integrated into robotic systems. Topics include sensor fusion, path planning, motion control, and human-robot interaction. Students work on projects involving autonomous robots and intelligent automation systems.

Renewable Energy Systems

Focused on sustainable technologies, this course covers solar, wind, hydroelectric, and geothermal energy systems. Students study system design, efficiency optimization, and integration into existing power grids. Projects include designing small-scale renewable energy installations.

Sustainable Manufacturing Processes

This course emphasizes environmentally responsible manufacturing practices. Students learn about green technologies, waste reduction strategies, life cycle assessment, and circular economy principles. Practical components involve evaluating and improving industrial processes for sustainability.

Advanced Materials Processing

Students explore cutting-edge techniques in materials science, including additive manufacturing, nanomaterials, and composites. The course covers material selection, processing methods, and characterization techniques relevant to modern engineering applications.

Biomechanics of Human Movement

This interdisciplinary course combines mechanical engineering principles with biological systems. Students study the mechanics of human motion, joint forces, and muscle dynamics. Applications include prosthetics design, rehabilitation devices, and sports performance analysis.

Computational Fluid Dynamics

Focusing on numerical methods for solving fluid flow problems, this course uses computational tools to simulate complex flows in engineering systems. Students gain proficiency in software like ANSYS Fluent and STAR-CCM+, applying these skills to aerodynamic design and heat transfer analysis.

Smart Manufacturing and Industry 4.0

This course introduces students to the digital transformation of manufacturing industries. Topics include IoT integration, data analytics, smart sensors, and automation technologies. Projects involve designing smart factory layouts and implementing real-time monitoring systems.

Vehicle Dynamics and Control

Designed for students interested in automotive engineering, this course covers vehicle motion analysis, suspension systems, steering dynamics, and control systems. Practical components include simulation of vehicle behavior under various conditions.

Project-Based Learning Philosophy

The department at Adani University Ahmedabad places significant emphasis on project-based learning as a core component of the educational experience. This approach ensures that students gain practical skills and real-world exposure while working collaboratively to solve complex engineering problems.

Mini-Projects

Mini-projects are introduced in the third year and continue through the fourth year. These projects focus on specific aspects of mechanical engineering, allowing students to apply theoretical knowledge to practical scenarios. Each project is assigned a faculty mentor who guides students throughout the development process.

Final-Year Thesis/Capstone Project

The final-year thesis or capstone project represents the culmination of the student's academic journey. Students select projects that align with their interests and career goals, often working on problems identified by industry partners or faculty researchers. The project is supervised by a faculty mentor and involves extensive research, design, and implementation phases.

Project Selection Process

The selection process for projects involves multiple steps to ensure alignment between student interests and available opportunities. Students are encouraged to propose ideas that reflect their passion and career aspirations. Faculty members review proposals and provide guidance on feasibility and scope.

Evaluation Criteria

Projects are evaluated based on technical merit, innovation, presentation quality, and teamwork. Regular progress reviews ensure that students stay on track with deadlines and milestones. Final presentations are conducted in front of a panel of faculty members and industry experts.