Comprehensive Course Listing Across 8 Semesters

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
Semester I	ME101	Engineering Mathematics I	3-1-0-4	None
	ME102	Physics for Engineering	3-1-0-4	None
	ME103	Chemistry for Engineers	3-1-0-4	None
	ME104	Introduction to Engineering	2-0-0-2	None
	ME105	Computer Programming	3-0-2-4	None
	ME106	Engineering Graphics	2-0-2-3	None
	ME107	Workshop Practice I	0-0-4-2	None
	ME108	English for Engineers	3-0-0-3	None
	ME109	Physical Education	0-0-0-2	None
	ME110	Engineering Workshop	0-0-4-2	None
	ME111	Introduction to Mechanics	3-0-0-3	None
	ME112	Basic Thermodynamics	3-0-0-3	None
Semester II	ME201	Engineering Mathematics II	3-1-0-4	ME101
	ME202	Strength of Materials	3-1-0-4	ME112
	ME203	Fluid Mechanics	3-1-0-4	ME102
	ME204	Manufacturing Processes	3-1-0-4	None
	ME205	Basic Electrical Engineering	3-1-0-4	None
	ME206	Computer Programming II	3-0-2-4	ME105
	ME207	Workshop Practice II	0-0-4-2	ME107
	ME208	Engineering Ethics	2-0-0-2	None
	ME209	Technical Communication	3-0-0-3	ME108
	ME210	Engineering Materials	3-1-0-4	ME103
	ME211	Mechanics of Machines	3-1-0-4	ME111
	ME212	Thermodynamics II	3-1-0-4	ME112
Semester III	ME301	Engineering Mathematics III	3-1-0-4	ME201
	ME302	Heat Transfer	3-1-0-4	ME212
	ME303	Mechanical Vibrations	3-1-0-4	ME211
	ME304	Design of Machine Elements	3-1-0-4	ME202
	ME305	Control Systems	3-1-0-4	ME205
	ME306	Computer Aided Design	3-0-2-4	ME106
	ME307	Workshop Practice III	0-0-4-2	ME207
	ME308	Engineering Economics	3-1-0-4	None
	ME309	Energy Systems	3-1-0-4	ME212
	ME310	Advanced Materials	3-1-0-4	ME210
	ME311	Mechanics of Solids	3-1-0-4	ME202
	ME312	Hydraulic and Pneumatic Systems	3-1-0-4	ME203
Semester IV	ME401	Engineering Mathematics IV	3-1-0-4	ME301
	ME402	Advanced Thermodynamics	3-1-0-4	ME212
	ME403	Manufacturing Systems	3-1-0-4	ME204
	ME404	Robotics and Automation	3-1-0-4	ME305
	ME405	Finite Element Methods	3-1-0-4	ME301
	ME406	Computer Aided Manufacturing	3-0-2-4	ME306
	ME407	Workshop Practice IV	0-0-4-2	ME307
	ME408	Sustainable Engineering	3-1-0-4	None
	ME409	Power Plant Engineering	3-1-0-4	ME212
	ME410	Advanced Manufacturing Processes	3-1-0-4	ME304
	ME411	Design Project I	0-0-6-6	ME304
	ME412	Technical Seminar	0-0-2-2	None
Semester V	ME501	Advanced Engineering Mathematics	3-1-0-4	ME401
	ME502	Computational Fluid Dynamics	3-1-0-4	ME203
	ME503	Advanced Heat Transfer	3-1-0-4	ME302
	ME504	Industrial Engineering	3-1-0-4	ME308
	ME505	Mechanical System Design	3-1-0-4	ME304
	ME506	Machine Learning for Engineers	3-0-2-4	ME405
	ME507	Workshop Practice V	0-0-4-2	ME407
	ME508	Engineering Management	3-1-0-4	None
	ME509	Renewable Energy Systems	3-1-0-4	ME212
	ME510	Nanotechnology in Engineering	3-1-0-4	ME310
	ME511	Advanced Manufacturing Technologies	3-1-0-4	ME403
	ME512	Design Project II	0-0-6-6	ME411
Semester VI	ME601	Advanced Control Systems	3-1-0-4	ME305
	ME602	Smart Materials and Structures	3-1-0-4	ME310
	ME603	Biomechanics	3-1-0-4	ME211
	ME604	Finite Element Analysis	3-1-0-4	ME405
	ME605	Design Optimization	3-1-0-4	ME304
	ME606	Advanced Robotics	3-1-0-4	ME404
	ME607	Workshop Practice VI	0-0-4-2	ME507
	ME608	Project Management	3-1-0-4	ME308
	ME609	Product Design and Development	3-1-0-4	ME505
	ME610	Entrepreneurship in Engineering	3-1-0-4	None
	ME611	Capstone Project	0-0-8-8	ME512
	ME612	Professional Internship	0-0-4-4	None
Semester VII	ME701	Advanced Engineering Design	3-1-0-4	ME605
	ME702	Energy Storage Systems	3-1-0-4	ME509
	ME703	Advanced Manufacturing Techniques	3-1-0-4	ME603
	ME704	Mechanical Systems Integration	3-1-0-4	ME505
	ME705	Human Factors in Engineering	3-1-0-4	ME211
	ME706	Advanced Computer Modeling	3-0-2-4	ME506
	ME707	Workshop Practice VII	0-0-4-2	ME607
	ME708	Engineering Ethics and Society	3-1-0-4	None
	ME709	Research Methodology	3-1-0-4	ME605
	ME710	Special Topics in Mechanical Engineering	3-1-0-4	None
	ME711	Advanced Thesis Project	0-0-6-6	ME611
	ME712	Research Internship	0-0-4-4	None
Semester VIII	ME801	Advanced Topics in Mechanical Engineering	3-1-0-4	ME710
	ME802	Industrial Applications	3-1-0-4	ME704
	ME803	Engineering Innovation and Entrepreneurship	3-1-0-4	ME610
	ME804	Capstone Thesis	0-0-8-8	ME711
	ME805	Final Project Presentation	0-0-4-4	ME711
	ME806	Professional Development	3-1-0-4	None
	ME807	Workshop Practice VIII	0-0-4-2	ME707
	ME808	Industry Exposure Program	3-1-0-4	None
	ME809	Advanced Research Project	0-0-6-6	ME711
	ME810	Engineering Leadership	3-1-0-4	None
	ME811	Final Thesis Defense	0-0-4-4	ME809
	ME812	Graduation Ceremony	0-0-0-0	None

Detailed Course Descriptions for Departmental Electives

The department offers a wide array of advanced elective courses designed to provide students with specialized knowledge and skills in emerging fields. These courses are taught by faculty members who are experts in their respective domains and have extensive industry experience.

Advanced Thermodynamics

This course delves into the principles of thermodynamic cycles, entropy production, and non-equilibrium thermodynamics. Students will study advanced topics such as exergy analysis, thermodynamic optimization, and applications in energy conversion systems. The course includes laboratory experiments that simulate real-world scenarios in power plants, refrigeration systems, and gas turbine operations.

Computational Fluid Dynamics

Students learn to model fluid behavior using numerical methods and computational tools. Topics include Navier-Stokes equations, turbulence modeling, CFD software usage (ANSYS Fluent, STAR-CCM+), and applications in aerodynamics, heat transfer, and chemical processes. The course emphasizes practical implementation through case studies from automotive and aerospace industries.

Machine Learning for Engineers

This elective introduces students to machine learning algorithms specifically tailored for engineering applications. It covers supervised and unsupervised learning techniques, neural networks, data preprocessing, and model validation. Students will apply these methods to solve problems in predictive maintenance, process optimization, and quality control.

Advanced Materials Science

The course explores the structure-property relationships of advanced materials including composites, ceramics, polymers, and nanomaterials. Students study synthesis methods, characterization techniques, mechanical properties, and applications in aerospace, biomedical, and electronics industries. Laboratory sessions involve hands-on experience with scanning electron microscopy, X-ray diffraction, and material testing equipment.

Biomechanics

This course combines principles of mechanics with biological systems to understand motion and forces in living organisms. Topics include human body mechanics, joint modeling, biomaterials design, and medical device development. Students engage in research projects involving musculoskeletal modeling, prosthetic design, and rehabilitation technologies.

Renewable Energy Systems

This course examines various renewable energy technologies including solar, wind, hydroelectric, and geothermal systems. Students study energy conversion processes, grid integration strategies, environmental impact assessments, and policy frameworks. The curriculum includes practical work on designing and testing small-scale renewable energy prototypes.

Smart Manufacturing Technologies

The course explores Industry 4.0 concepts such as IoT integration, digital twins, automation systems, and data analytics in manufacturing environments. Students learn to design smart production lines, implement predictive maintenance strategies, and optimize manufacturing processes using real-time data insights.

Advanced Robotics and Automation

This elective covers advanced robotics concepts including sensor integration, control systems, artificial intelligence in robotics, and human-robot interaction. Students work on projects involving mobile robots, manipulators, and collaborative automation systems. The course includes hands-on programming using ROS (Robot Operating System) and simulation environments.

Finite Element Analysis

This course teaches students how to use finite element methods for solving complex engineering problems. Topics include mesh generation, boundary conditions, material modeling, and solution techniques. Students apply FEM to structural analysis, heat transfer, fluid flow, and electromagnetics through practical assignments and research projects.

Energy Storage Systems

The course explores various energy storage technologies including batteries, supercapacitors, compressed air systems, and pumped hydro storage. Students study system design, performance evaluation, integration with renewable sources, and economic analysis. Laboratory sessions involve testing different storage technologies and analyzing their efficiency under various conditions.

Human Factors in Engineering

This course focuses on ergonomics, human-centered design, and safety considerations in engineering systems. Students learn about cognitive psychology, user interface design, risk assessment, and workplace safety protocols. Projects involve designing products or systems that optimize human performance while minimizing risks.

Design Optimization

The course introduces optimization techniques for engineering design including linear programming, nonlinear optimization, genetic algorithms, and multi-objective optimization. Students learn to formulate design problems mathematically and solve them using appropriate computational tools and methods.

Advanced Manufacturing Techniques

This elective covers modern manufacturing processes such as additive manufacturing (3D printing), laser processing, electron beam welding, and precision machining. Students study process parameters, material compatibility, quality control, and cost analysis of advanced manufacturing technologies.

Nanotechnology in Engineering

The course explores the application of nanoscale science and technology in engineering systems. Topics include nanomaterial synthesis, characterization techniques, quantum effects, and applications in sensors, electronics, medicine, and energy systems. Students engage in research projects involving nanofabrication and nanodevice development.

Engineering Innovation and Entrepreneurship

This course encourages students to think creatively about engineering solutions while developing entrepreneurial skills. Topics include innovation frameworks, business model development, intellectual property, funding strategies, and startup launch processes. Students work on real-world challenges and develop business plans for potential ventures.

Project-Based Learning Philosophy

Our department strongly believes in experiential learning through project-based assignments that simulate real-world engineering challenges. The philosophy behind this approach is to develop critical thinking, problem-solving abilities, and teamwork skills essential for professional success.

The mini-projects begin in the third semester and continue through the sixth semester, with increasing complexity and scope. Each project has defined learning objectives, milestones, and evaluation criteria. Students work in teams of 3-5 members, guided by faculty mentors who provide technical support, feedback, and industry insights.

Project selection involves a competitive process where students propose ideas based on their interests and career goals. Faculty review these proposals for feasibility, relevance, and alignment with departmental expertise. Selected projects are then assigned to teams with appropriate supervision and resources.

The final-year thesis/capstone project is a comprehensive undertaking that requires students to apply all their learned knowledge to solve an industry-relevant problem. This project typically spans the entire seventh and eighth semesters, involving extensive research, experimentation, and documentation. The evaluation includes peer reviews, faculty assessment, and presentation defense before a panel of experts.

The structure emphasizes iterative development, where students receive continuous feedback throughout the project lifecycle. This approach ensures that students not only develop technical competencies but also gain experience in managing timelines, budgets, and stakeholder expectations—a crucial aspect of professional engineering practice.