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Cyprus International University
TR

OPERATIONS RESEARCH II

Course
INDE322 - OPERATIONS RESEARCH II
Department
Institute of Graduate Studies and Research
Course Type
Scientific Preparation
Status
Required
Language
English
Credit
0
ECTS
0
T+P+L
0 + 0 + 0
Course Coordinator(s)
-
Prerequisite
Keywords
-

Course Description

-

OPERATIONS RESEARCH II

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 Construct ability to make decision by using probability techniques
  2. 02 Create decisions under uncertainty by using utility theory and decision trees.
  3. 03 Be able to apply the knowledge that they gain from Game Theory and and Markov Chain to the real-life situtations.
  4. 04 Be able to draw Queuing theory and stochastic processes during the answering real life problems.
  5. 05 Identify and develop operational research models from the verbal description of the real system.

Course Syllabus

Week Topic
Week 1 Review of Probability Concepts
Week 2 Decision Making Under Uncertainty : Utility Theory
Week 3 Decision Trees
Week 4 Game Theory: Two-Person Zero-Sum Game, Two-Person Constant-Sum Game
Week 5 Mixed or Randomized Strategy
Week 6 Markov Chains: Stochastic Process, Markov Chain
Week 7 Solving Finite Matrix Games(zero-sum or constant-sum) by LP
Week 8 Midterm Exam Week
Week 9 n-Step Transition Probabilities, Classification of States in a Markov Chain
Week 10 Mean First Passage Times, Absorbing Chains
Week 11 Queueing Theory: Queueing Terminology
Week 12 Modelling Arrival and Service Processes
Week 13 Birth-Death Processes
Week 14 Birth-Death Processes (cont.)
Week 15 Final Exam Week

Reference Books & Course Materials

  1. 01 Wayne L. Winston, Operations Research: Applications and Algorithms, 4th ed., Canada Thomson, 2004. ISBN: 0-534-42362-0
  2. 02 Taha, Hamdy A., Operations Research, 6th ed., Prentice Hall, 1997.
  3. 03 Hillier, F.S. and Lieberman, G.J., Introduction to Operations Research, 7th ed., McGraw Hill, 2001

Learning Outcomes

  1. L01 Construct ability to make decision by using probability techniques
  2. L02 Create decisions under uncertainty by using utility theory and decision trees.
  3. L03 Be able to apply the knowledge that they gain from Game Theory and and Markov Chain to the real-life situtations.
  4. L04 Be able to draw Queuing theory and stochastic processes during the answering real life problems.
  5. L05 Identify and develop operational research models from the verbal description of the real system.

Program Outcomes

No program outcomes have been defined.

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