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.
Operations Research III (IE 313)
2021 Summer
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
3
8.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Mirehsan Hesam Sadatizamanabad msadati@sabanciuniv.edu,
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English
Undergraduate
IE305
Formal lecture,Recitation
Other
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| Programs\Type | Required | Core Elective | Area Elective |
| BA- Political Science | |||
| BA-Cultural Studies | |||
| BA-Cultural Studies | |||
| BA-Economics | |||
| BA-Economics | |||
| BA-International Studies | |||
| BA-International Studies | |||
| BA-Management | |||
| BA-Management | |||
| BA-Political Sci.&Inter.Relat. | |||
| BA-Political Sci.&Inter.Relat. | |||
| BA-Social & Political Sciences | |||
| BA-Visual Arts&Visual Com.Des. | |||
| BA-Visual Arts&Visual Com.Des. | |||
| BS-Biological Sci.&Bioeng. | * | ||
| BS-Computer Science & Eng. | * | ||
| BS-Computer Science & Eng. | * | ||
| BS-Electronics Engineering | |||
| BS-Electronics Engineering | |||
| BS-Industrial Engineering | * | ||
| BS-Manufacturing Systems Eng. | * | ||
| BS-Materials Sci. & Nano Eng. | * | ||
| BS-Materials Science & Eng. | * | ||
| BS-Mechatronics | |||
| BS-Mechatronics | |||
| BS-Microelectronics | |||
| BS-Molecular Bio.Gen.&Bioeng | * | ||
| BS-Telecommunications | * |
CONTENT
OBJECTIVE
The mission of this course is to continue the study of modeling and solution of decision problems using operations research techniques with a particular emphasis on stochastic aspects.
LEARNING OUTCOME
Have a basic knowledge of discrete time Markov chains (DTMCs), formulate suitable applications as DTMCs and analyze their transient and steady-state behaviors.
Have a basic knowledge of continuous time Markov chains (CTMCs), formulate suitable applications as CTMCs and analyze their transient and steady-state behaviors.
Develop a deeper understanding of certain CTMC classes including Poisson processes, birth-and-death processes, and queueing models.
Perform computation analysis of the stochastic processes of interest using a programming language.
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 50 |
| Midterm | 30 |
| Assignment | 20 |
RECOMENDED or REQUIRED READINGS
| Textbook |
Introduction to Stochastic Processes with R., Robert P. Dobrow, 1st Ed., Wiley. |