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.