Course Description
This doctoral‑level course examines Operations Research (OR) as a scientific approach to decision‑making in complex business and organizational systems. The course emphasizes optimization, modeling, stochastic processes, simulation, and decision analytics with a strong focus on theoretical foundations, assumptions, limitations, and research applications. Students will critically evaluate OR methods used in scholarly literature and apply advanced models to real research problems.
This doctoral‑level course examines Operations Research (OR) as a scientific approach to decision‑making in complex business and organizational systems. The course emphasizes optimization, modeling, stochastic processes, simulation, and decision analytics with a strong focus on theoretical foundations, assumptions, limitations, and research applications. Students will critically evaluate OR methods used in scholarly literature and apply advanced models to real research problems.
Course Learning Outcomes (CLOs)
By the end of this course, doctoral students will be able to:
- Critically evaluate Operations Research models used in business and management research.
- Formulate and analyze optimization problems using deterministic and stochastic approaches.
- Assess assumptions, constraints, and validity of OR models in empirical studies.
- Apply advanced OR techniques to strategic and operational decision‑making problems.
- Design an original, publishable OR‑based research framework aligned with doctoral research.
