Syllabus Application
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).
- 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.