TYPE OF COURSE UNIT | Elective Course |
LEVEL OF COURSE UNIT | Master's Degree With Thesis |
YEAR OF STUDY | - |
SEMESTER | - |
NUMBER OF ECTS CREDITS ALLOCATED | 10 |
NAME OF LECTURER(S) | Associate Professor Barış Keçeci Assistant Professor Esra Dinler
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LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students; 1) Gain an ability to identify, formulate, and solve mathematical models of Industrial Engineering problems 2) Understand using different mathematical modeling techniques and Methodology of operations research
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MODE OF DELIVERY | Face to face |
PRE-REQUISITES OF THE COURSE | No |
RECOMMENDED OPTIONAL PROGRAMME COMPONENT | No |
COURSE DEFINITION | |
COURSE CONTENTS | WEEK | TOPICS |
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1st Week | Geometry of Linear optimization | 2nd Week | Simplex method | 3rd Week | Duality and revised simplex methods | 4th Week | Dual simplex | 5th Week | Parametric linear optimization | 6th Week | Sensitivity analysis | 7th Week | Pivot rules | 8th Week | Midterm | 9th Week | Modern applications of simplex method | 10th Week | Simplex method for upper bound variables | 11th Week | Decomposition | 12th Week | Primal-dual algorithm | 13th Week | Complexity | 14th Week | Student projects |
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RECOMENDED OR REQUIRED READING | (1) Winston W.L. (2004) "Operations Research: Applications and Algorithms", Brooks/Cole - Thomson Learning (2) Taha H.A. (2003) "Operations Research: An Introduction", Pearson Education Inc. |
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Questions/Answers,Lecture,Problem Solving,Presentation,Practice |
ASSESSMENT METHODS AND CRITERIA | | Quantity | Percentage(%) |
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Mid-term | 1 | 30 | Assignment | 1 | 20 | Total(%) | | 50 | Contribution of In-term Studies to Overall Grade(%) | | 50 | Contribution of Final Examination to Overall Grade(%) | | 50 | Total(%) | | 100 |
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ECTS WORKLOAD |
Activities |
Number |
Hours |
Workload |
Midterm exam | 1 | 2 | 2 | Preparation for Quiz | | | | Individual or group work | 14 | 14 | 196 | Preparation for Final exam | 1 | 25 | 25 | Course hours | 14 | 3 | 42 | Preparation for Midterm exam | 1 | 25 | 25 | Laboratory (including preparation) | | | | Final exam | 1 | 2 | 2 | Homework | 1 | 14 | 14 | Total Workload | | | 306 |
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Total Workload / 30 | | | 10,2 |
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ECTS Credits of the Course | | | 10 |
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LANGUAGE OF INSTRUCTION | Turkish |
WORK PLACEMENT(S) | No |
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