Professional Certificate in Operations Research in Project Management

• Introduction to Operations Research – Understanding the fundamentals of operations research, its applications, and methods used in problem-solving.
• Linear Programming – Learning the basic concepts, formulations, and graphical methods of linear programming, including simplex method and sensitivity analysis.
• Network Analysis and Flow Problems – Exploring network models, including transportation, assignment, and transshipment problems, and applying optimization techniques.
• Integer Programming – Investigating integer programming and its applications, such as capital budgeting, facility location, and production planning.
• Queuing Theory – Examining queuing models, performance measures, and analysis techniques, with a focus on service systems and manufacturing processes.
• Decision Analysis and Optimization – Mastering various decision analysis methods, including utility theory, decision trees, and influence diagrams.
• Simulation and Risk Analysis – Understanding the principles of simulation, risk analysis, and modeling uncertainty in project management.
• Project Scheduling and Resource Allocation – Applying operations research techniques to solve project scheduling and resource allocation problems, such as CPM, PERT, and resource-constrained scheduling.
• Case Studies in Operations Research for Project Management – Analyzing real-world scenarios to apply the operations research concepts and techniques learned throughout the course.