This course presents an introduction to stochastic processes and their applications in operations research, management science and industrial engineering. Within the scope of this course, students will gain the following competencies:
- To be able to apply discussed on the basic branching stochastic processes and random walks
- To analyze and understand a basic probability theory
- Interpret the concepts of Markov chains and Poisson processes
- To analyze and understand renewal theory, queueing theory, reliability theory and inventory theory
Prerequisite(s)
Corequisite(s)
Special Requisite(s)
Instructor(s)
Assist. Prof. Dr. Duygun Fatih Demirel
Course Assistant(s)
Schedule
Office Hour(s)
Teaching Methods and Techniques
Principle Sources
Other Sources
Course Schedules
Week
Contents
Learning Methods
Assessments
Evaluation tools
Quantity
Weight(%)
Program Outcomes
PO-1
Knowledge on methods and competencies required for solving complex industrial engineering problems.
PO-2
Knowledge for effective analysis and modeling of problems encountered in production and service sectors, and the ability to select and utilize modern techniques and tools necessary for solving these problems.
PO-3
Ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements.
PO-4
Knowledge and experience in conducting scientific research and publishing within the framework of academic ethical standards.
