Operations Research III (IE 313)

2021 Fall
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)
Yunus Sar─▒kaya -ysarikaya@sabanciuniv.edu,
English
Undergraduate
IE305
Formal lecture,Recitation
Other
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CONTENT

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.

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.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Exam 40
Assignment 60
Other 3

RECOMENDED or REQUIRED READINGS

Textbook

Introduction to Stochastic Processes with R., Robert P. Dobrow, 1st Ed., Wiley.