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M.Tech Smart Manufacturing for Working Professionals

M.Tech Smart Manufacturing

PEO, PO and PSO for M.Tech Smart Manufacturing

Program Educational Objectives
PEOs Program Educational Objectives
PEO1 Apply advanced knowledge of smart manufacturing technologies to design and optimize intelligent manufacturing systems within their industrial organizations.
PEO2 Conduct applied research and lead digital transformation initiatives that solve complex, real-world manufacturing challenges through data-driven and Industry 4.0-based solutions.
PEO3 Engage in lifelong learning and collaborate effectively across industry-academia and multidisciplinary environments to remain at the forefront of emerging smart manufacturing technologies.
Program Specific Outcomes
PSOs Program Specific Outcomes
PSO1 Design and develop intelligent manufacturing systems integrating automation, robotics, IoT, and data analytics to optimize production efficiency and quality.
PSO2 Conduct applied research in Industry 4.0 technologies to innovate sustainable, data-driven manufacturing processes.
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 I
Sr. No. Course Name
1 Smart Manufacturing and Industry 4.0
2 Research Methodology and IPR
3 Sustainable Manufacturing
4 Product Design and Development
5 Product Design and Development LAB
6 IoT and Cloud Computing
7 IoT and Cloud Computing Lab
Semester II
Sr. No. Course Name
1 Data Analytics and Machine Learning for Manufacturing
2 Robotics and Automation
3 Robotics and Automation Lab
4 Program Elective-I (Electrical Drives and Actuators, Embedded Systems and Programming)
5 Open Elective (Supply Chain 4.0 and Logistics, Business Analytics)
6 Disaster Preparedness (Audit Course)
Semester III
Sr. No. Course Name
1 AI and Digital Twins for Smart Manufacturing
2 AI and Digital Twins Lab
3 Industrial Internship
4 Program Elective-II (Electrical Drives and Actuators, Embedded Systems and Programming)
5 Dissertation - I
Semester IV
Sr. No. Course Name
1 Dissertation - II
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