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Operations Research III
IE 313

Faculty: Faculty of Engineering and Natural Sciences
Semester: Fall 2025-2026
Course: Operations Research III - IE 313
Classroom: FENS-L045
Level of course: Undergraduate
Course Credits: SU Credit:3.000, ECTS:6, Basic:2, Engineering:4
Prerequisites: IE 305
Corequisites: IE 313R
Course Type: Lecture

Instructor(s) Information

Sinan Yıldırım

Course Information

Catalog Course Description
Introduction to stochastic processes with examples based on the appropriate manufacturing and service systems; decision making under uncertainty; Markov chains; production/inventory models; queuing systems.
Course Learning Outcomes:
1. Have a basic knowledge of discrete time Markov chains (DTMCs), formulate suitable applications as DTMCs and analyze their transient and steady-state behaviors.
2. Have a basic knowledge of continuous time Markov chains (CTMCs), formulate suitable applications as CTMCs and analyze their transient and steady-state behaviors.
3. Develop a deeper understanding of certain CTMC classes including Poisson processes, birth-and-death processes, and queueing models.
4. Perform computation analysis of the stochastic processes of interest using a programming language.
Course Objective
The mission of this course is to continue studying the modeling and solution of decision problems using operations research techniques, with a particular emphasis on stochastic aspects.
Sustainable Development Goals (SDGs) Related to This Course:
Responsible Consumption and Production

Course Materials

Resources:
The following material will be shared on SUCourse.
- Textbook: Introduction to Stochastic Processes with R., Robert P. Dobrow, 1st Ed., Wiley. (Available at IC) https://risc01.sabanciuniv.edu/record=b2733539
The textbook is the main resource for the course.
- Recitations
- Python examples
- Everything covered in the lectures (take your own notes).
Technology Requirements:
Course-relevant Python skills are required and part of the evaluation.