The B.Tech. in Mechanical Engineering with Smart Manufacturing specialization blends core mechanical engineering education with advanced manufacturing and automation technologies. The program emphasizes robotics, Industry 4.0, digital twins, lean and green manufacturing, and smart production systems. It prepares graduates to design, analyze, and optimize modern manufacturing processes aligned with current industrial needs.
| Program Educational Objectives | |
|---|---|
| PEOs | Program Educational Objectives |
| PEO1 | Core Mechanical Engineering and Smart Manufacturing: Apply core mechanical engineering and smart manufacturing knowledge to design, develop, and improve products and processes within their industrial workplaces. |
| PEO2 | Professional Growth, Leadership, and Entrepreneurship: Advance professionally into roles of greater technical responsibility, leadership, or entrepreneurship, contributing to sustainable and innovative manufacturing practices in their industry. |
| PEO3 | Lifelong Learning and Collaboration: Engage in lifelong learning and collaborate effectively across industry-academia and multidisciplinary environments to stay current with emerging manufacturing technologies. |
| Program Specific Outcomes | |
|---|---|
| PSOs | Program Specific Outcomes |
| PSO1 | Manufacturing Processes and Smart Manufacturing: Apply principles of manufacturing processes, automation, and smart manufacturing technologies — CNC, robotics, IoT-enabled systems, and additive manufacturing — to design and optimize production systems. |
| PSO2 | CAD/CAM/CAE and Industry 4.0: Utilize modern CAD/CAM/CAE tools and Industry 4.0 practices to plan, execute, and improve manufacturing operations for quality and productivity. |
| Program Outcomes | |
|---|---|
| POs | Program Outcomes |
| PO1 | Engineering knowledge: Apply the knowledge of mathematics, natural sciences, engineering fundamentals, and an engineering specialization to develop solutions for complex engineering problems. |
| PO2 | Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems using first principles of mathematics, natural sciences, and engineering sciences, while considering the holistic nature of the problem to reach substantiated conclusions. |
| PO3 | Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with due consideration for public health and safety, as well as cultural, societal, environmental, and sustainability requirements. |
| PO4 | Conduct investigations of complex problems: Conduct investigations using research-based knowledge and research methods, including the design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions. |
| PO5 | Engineering tool usage: Create, select, and apply appropriate modern engineering, digital, and IT tools, including modelling, simulation, prediction, and data analysis techniques, to complex engineering activities with an understanding of their limitations. |
| PO6 | The engineer and the world: Analyze and evaluate societal, environmental, sustainability, legal, cultural, health, safety, and contemporary issues, and understand the impact of engineering solutions on society and the world while fulfilling professional responsibilities. |
| PO7 | Ethics: Apply ethical principles, professional responsibilities, engineering norms, and human values with respect for diversity, equity, inclusion, and sustainable professional practice. |
| PO8 | Individual and collaborative team work: Function effectively as an individual, and as a member or leader in diverse, multidisciplinary, and collaborative teams to achieve common engineering goals. |
| PO9 | Communication: Communicate effectively on complex engineering activities with the engineering community and society through effective reports, technical documentation, presentations, and clear oral and written communication. |
| PO10 | Project management and finance: Apply engineering and management principles, financial practices, and project management techniques to individual and multidisciplinary engineering projects while working effectively as a member or leader of a team. |
| PO11 | Life-long learning: Recognize the need for, and demonstrate the ability to engage in independent and lifelong learning to adapt to technological advancements, innovation, and evolving professional practices. |
| Semester III | |
|---|---|
| Sr. No. | Course Name |
| 1 | Fluid Mechanics |
| 2 | Fluid Mechanics Lab |
| 3 | Communication Skills |
| 4 | Engineering Mathematics |
| 5 | Strength of Materials |
| 6 | Engineering Thermodynamics |
| Semester IV | |
|---|---|
| Sr. No. | Course Name |
| 1 | Design of Machine Elements |
| 2 | Fundamentals of Robotics and Automation |
| 3 | Fundamentals of Robotics and Automation Lab |
| 4 | Engineering Material and Metallurgy |
| 5 | Engineering Material and Metallurgy Lab |
| 6 | Environmental Science & SDG |
| 7 | Basics of Electrical and Electronics Engineering |
| Semester V | |
|---|---|
| Sr. No. | Course Name |
| 1 | Theory of Machines |
| 2 | Theory of Machines Lab |
| 3 | Soft Skills |
| 4 | Quality Control Engineering |
| 5 | Quality Control Engineering Lab |
| 6 | Manufacturing Processes |
| 7 | Industry 4.0 and Digital Twin |
| 8 | Industrial Internship-I |
| Semester VI | |
|---|---|
| Sr. No. | Course Name |
| 1 | Computer Aided Design |
| 2 | Computer Aided Design Lab |
| 3 | Vedic Mathematics |
| 4 | Heat Transfer |
| 5 | Heat Transfer Lab |
| 6 | Industrial Engineering and Management |
| 7 | Product Life Cycle Management |
| Semester VII | |
|---|---|
| Sr. No. | Course Name |
| 1 | Introduction to Machine Learning |
| 2 | Automotive Systems |
| 3 | Industrial Internship-II |
| 4 | Minor Project |
| 5 | Sustainable Manufacturing |
| 6 | Product Design and Development, Generative Design |
| 7 | Product Design and Development, Generative Design Lab |
| 8 | Open Elective-I (Business Fundamental, Data Visualization) |
| Semester VIII | |
|---|---|
| Sr. No. | Course Name |
| 1 | Open Elective-II (Supply Chain Management, Prompt Engineering) |
| 2 | Program Elective (Noise Vibration and Harshness, Applied Structural Analysis) |
| 3 | Major Project |
Smart manufacturing refers to the use of automation, digital technologies, and data-driven systems in modern manufacturing processes.
Yes, the curriculum emphasizes hands-on learning through laboratory sessions, internships, and real-world projects.
Graduates can work in automotive, manufacturing, automation, robotics, and production engineering sectors.
Yes, the program is specifically structured around Industry 4.0 principles and digital manufacturing technologies.