TYPE OF COURSE UNIT | Elective Course |
LEVEL OF COURSE UNIT | Bachelor's Degree |
YEAR OF STUDY | - |
SEMESTER | - |
NUMBER OF ECTS CREDITS ALLOCATED | 5 |
NAME OF LECTURER(S) | . Servıs Servıs
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LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students; 1) Should have become familiar with expression of linear programming models used in economics. Understands variables, constants, constraints and objective functions in linear programming models. 2) Should have become familiar with the solution and analysis methods used in economic models. Understands the simplex method, duality, sensitivity analysis and integer programming, Understands the solution of The Transportation Problem and similar problems. 3) Should have become familiar with basic game theory solution techniques and solution of some game theory problems using linear programming methods.
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MODE OF DELIVERY | Face to face |
PRE-REQUISITES OF THE COURSE | No |
RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
COURSE DEFINITION | This course examines mathematical techniques used in solving basic and intermediate micro and macro economic problems. |
COURSE CONTENTS | WEEK | TOPICS |
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1st Week | Mathematical Models | 2nd Week | Linear Programming Model | 3rd Week | Simplex Method | 4th Week | duality | 5th Week | Sensitivity Analysis | 6th Week | Integer Programming | 7th Week | Transportation Problem | 8th Week | Midterm | 9th Week | Two people, Zero Sum Games | 10th Week | Other Topics in Game Theory | 11th Week | Other Topics in Game Theory | 12th Week | Other Topics in Game Theory | 13th Week | Other Topics in Linear Programming | 14th Week | Other Topics in Linear Programming |
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RECOMENDED OR REQUIRED READING | Paul R. Thie, An Introduction to Linear Programming and Game Theory, John Wiley & Sons 0-471-62488-8 |
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion |
ASSESSMENT METHODS AND CRITERIA | | Quantity | Percentage(%) |
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Mid-term | 1 | 40 | Total(%) | | 40 | Contribution of In-term Studies to Overall Grade(%) | | 40 | Contribution of Final Examination to Overall Grade(%) | | 60 | Total(%) | | 100 |
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ECTS WORKLOAD |
Activities |
Number |
Hours |
Workload |
Midterm exam | 1 | 1 | 1 | Preparation for Quiz | 0 | 0 | 0 | Individual or group work | 14 | 3 | 42 | Preparation for Final exam | 1 | 30 | 30 | Course hours | 14 | 3 | 42 | Preparation for Midterm exam | 1 | 25 | 25 | Laboratory (including preparation) | 0 | 0 | 0 | Final exam | 1 | 1 | 1 | Homework | 0 | 0 | 0 | Total Workload | | | 141 |
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Total Workload / 30 | | | 4,7 |
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ECTS Credits of the Course | | | 5 |
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LANGUAGE OF INSTRUCTION | English |
WORK PLACEMENT(S) | No |
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