Comprehensive Course Listing Across 8 Semesters

Semester	Course Code	Full Course Title	Credit Structure (L-T-P-C)	Pre-requisites
I	MATH101	Calculus I	3-0-0-3	None
I	MATH102	Linear Algebra and Differential Equations	3-0-0-3	MATH101
I	PHYS101	Physics for Engineers	3-0-0-3	None
I	CSE101	Introduction to Programming	2-0-2-3	None
I	MECH101	Engineering Mechanics	3-0-0-3	PHYS101
I	BME101	Introduction to Business and Management	3-0-0-3	None
I	ENG101	English for Academic Purposes	2-0-0-2	None
I	HSS101	Social Sciences and Humanities	3-0-0-3	None
I	LIT101	Communication Skills	2-0-0-2	None
II	MATH201	Calculus II	3-0-0-3	MATH102
II	MATH202	Probability and Statistics	3-0-0-3	MATH102
II	CSE201	Data Structures and Algorithms	2-0-2-3	CSE101
II	MECH201	Mechanics of Materials	3-0-0-3	MECH101
II	ELEC201	Basic Electrical Engineering	3-0-0-3	PHYS101
II	BME201	Managerial Economics	3-0-0-3	BME101
II	LIT201	Technical Writing and Presentation	2-0-0-2	ENG101
III	MATH301	Numerical Methods	3-0-0-3	MATH201
III	CSE301	Database Management Systems	2-0-2-3	CSE201
III	MECH301	Thermodynamics and Heat Transfer	3-0-0-3	MECH201
III	ELEC301	Electronics and Instrumentation	3-0-0-3	ELEC201
III	BME301	Operations Management Fundamentals	3-0-0-3	BME201
III	MINI1	Mini Project I	0-0-6-3	BME201, CSE201
IV	MATH401	Advanced Mathematics for Engineers	3-0-0-3	MATH301
IV	CSE401	Software Engineering	2-0-2-3	CSE301
IV	MECH401	Mechanical Design and Manufacturing	3-0-0-3	MECH301
IV	ELEC401	Digital Electronics and Microprocessors	3-0-0-3	ELEC301
IV	BME401	Supply Chain Management	3-0-0-3	BME301
IV	MINI2	Mini Project II	0-0-6-3	BME301, MINI1
V	OPM501	Operations Strategy and Planning	3-0-0-3	BME401
V	OPM502	Process Analysis and Design	3-0-0-3	BME401
V	OPM503	Quality Management and Control	3-0-0-3	BME401
V	OPM504	Inventory and Materials Management	3-0-0-3	BME401
V	OPM505	Lean Manufacturing and Six Sigma	3-0-0-3	BME401
V	OPM506	Project Management	3-0-0-3	BME401
V	LAB501	Operations Laboratory	0-0-6-3	BME401, MINI2
V	LAB502	Process Simulation Lab	0-0-6-3	BME401, MINI2
VI	OPM601	Advanced Operations Analytics	3-0-0-3	OPM501
VI	OPM602	Supply Chain Optimization	3-0-0-3	OPM501
VI	OPM603	Service Operations Management	3-0-0-3	OPM501
VI	OPM604	Financial Operations and Risk Management	3-0-0-3	OPM501
VI	OPM605	Manufacturing Systems and Automation	3-0-0-3	OPM501
VI	OPM606	Operations Research and Modeling	3-0-0-3	OPM501
VI	LAB601	Data Analytics Lab	0-0-6-3	OPM601, MINI2
VII	OPM701	Capstone Project I	0-0-12-6	OPM601, OPM602, OPM603
VII	OPM702	Operations Innovation and Entrepreneurship	3-0-0-3	OPM601
VII	OPM703	International Operations Management	3-0-0-3	OPM601
VII	OPM704	Leadership in Operations	3-0-0-3	OPM601
VII	OPM705	Operations Sustainability and Ethics	3-0-0-3	OPM601
VIII	OPM801	Capstone Project II	0-0-12-6	OPM701
VIII	OPM802	Operations Consulting Project	3-0-0-3	OPM701
VIII	OPM803	Advanced Topics in Operations Management	3-0-0-3	OPM701
VIII	OPM804	Industry Internship	0-0-12-6	OPM701

Detailed Course Descriptions for Advanced Departmental Electives

The advanced departmental elective courses in our operations management program are designed to deepen students' understanding of specialized areas within the field. These courses provide opportunities for deeper exploration and practical application through case studies, simulations, and real-world projects.

Operations Strategy and Planning (OPM501)

This course delves into strategic frameworks used in operations management to align operational capabilities with organizational goals. Students learn to develop long-term operational strategies that consider market dynamics, competitive positioning, and technological trends. The curriculum includes topics such as capacity planning, resource allocation, and strategic decision-making under uncertainty.

Process Analysis and Design (OPM502)

This course focuses on methods for analyzing existing processes and designing new ones to improve efficiency and effectiveness. Students are introduced to tools such as flowcharting, value stream mapping, and process modeling. The emphasis is on identifying bottlenecks, reducing waste, and enhancing customer value through systematic process improvement.

Quality Management and Control (OPM503)

This elective explores the principles and practices of quality management systems. Students study concepts such as Total Quality Management (TQM), Six Sigma, Lean Manufacturing, and ISO standards. The course emphasizes practical applications through case studies and hands-on projects involving quality control tools like control charts, Pareto analysis, and root cause analysis.

Inventory and Materials Management (OPM504)

This course covers the management of inventory systems and materials flow within supply chains. Topics include demand forecasting, safety stock determination, economic order quantity models, and just-in-time principles. Students gain practical experience in inventory optimization techniques using spreadsheet modeling and simulation software.

Lean Manufacturing and Six Sigma (OPM505)

This course introduces students to lean manufacturing methodologies and Six Sigma quality improvement tools. The curriculum covers value stream mapping, 5S workplace organization, kaizen events, and statistical process control. Students learn to apply these techniques in real-world settings through project-based learning and guest lectures from industry experts.

Project Management (OPM506)

This course provides comprehensive training in project management methodologies and tools. Students explore project lifecycle phases, resource allocation, risk assessment, and stakeholder communication. The emphasis is on practical application through simulation exercises and real-world case studies from various industries.

Advanced Operations Analytics (OPM601)

This advanced course focuses on applying statistical and analytical techniques to solve complex operational problems. Students learn to use data analytics tools such as R, Python, and SQL for predictive modeling, optimization, and decision support systems. The curriculum includes machine learning applications in operations management.

Supply Chain Optimization (OPM602)

This course examines optimization techniques used in supply chain networks. Students study transportation models, facility location problems, and network flow optimization. The course includes hands-on experience with optimization software tools such as Gurobi, CPLEX, and Excel Solver.

Service Operations Management (OPM603)

This elective explores the unique challenges of managing service operations compared to manufacturing environments. Topics include service design, customer interaction management, service quality measurement, and service recovery strategies. Students engage in projects involving service system design for real organizations.

Financial Operations and Risk Management (OPM604)

This course bridges operations management with financial decision-making by examining how operational performance affects financial outcomes. Students learn to evaluate investment decisions, assess operational risks, and develop cost-benefit models for operational improvements.

Manufacturing Systems and Automation (OPM605)

This course explores the integration of automation technologies in manufacturing environments. Topics include robotics, computer numerical control (CNC), industrial IoT, and smart factory concepts. Students gain practical experience through laboratory sessions and visits to manufacturing facilities.

Operations Research and Modeling (OPM606)

This course introduces mathematical modeling techniques used in operations management. Students learn to formulate and solve optimization problems using linear programming, integer programming, and dynamic programming. The course emphasizes the application of these models in real-world operational contexts.

Project-Based Learning Philosophy

The department places a strong emphasis on project-based learning as an integral part of the educational experience. This approach recognizes that real-world problem-solving requires integrating theoretical knowledge with practical application, fostering critical thinking and collaboration among students.

Mini projects are introduced in the third semester to provide students with early exposure to applied research methods. These projects typically span 4-6 weeks and involve small groups of 3-5 students working under faculty supervision. The focus is on developing problem identification, data collection, analysis, and presentation skills.

The final-year capstone project serves as the culmination of the student's academic journey in operations management. Students select a relevant topic from current industry challenges or academic research areas. They work closely with faculty mentors to design a comprehensive study that includes literature review, methodology development, data analysis, and solution implementation.

Project selection involves a formal proposal process where students must demonstrate the relevance of their chosen topic, feasibility of execution, and potential impact. The evaluation criteria include innovation, technical depth, quality of deliverables, presentation skills, and team collaboration. Each project is assessed by both faculty members and industry representatives to ensure alignment with professional standards.

Faculty mentorship plays a crucial role in guiding students through their projects. Mentors are assigned based on the relevance of their expertise to the student's chosen area of focus. Regular meetings, progress reviews, and feedback sessions help ensure that projects meet academic standards while remaining practically relevant.