| 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) | -
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Become familiar with mathematical models used in economics.
2) Understand non-linear programming, (Kuhn-Tucker conditions); dynamic programming, transportation problem; network analysis, PERT-COST systems, inventory models; queuing models.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
| COURSE DEFINITION | This course is defined to teach the use of mathematical models. |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Optimization Models | | 2nd Week | Fundamentals of Optimization | | 3rd Week | Representation of Linear Constraints | | 4th Week | Geometry of Linear Programming | | 5th Week | The Simplex Method | | 6th Week | Network Problems | | 7th Week | Basics and Methods of Unconstrained Optimization | | 8th Week | Midterm | | 9th Week | Low-Storage Methods For Unconstrained Problems | | 10th Week | Nonlinear Least-Squares Data Fitting | | 11th Week | Optimality Conditions for Constrained Problems | | 12th Week | Feasible-Point Methods | | 13th Week | Penalty and Barrier Methods | | 14th Week | Interior-Point Methods for Linear and Convex Programming |
|
| RECOMENDED OR REQUIRED READING | Stephen G. Nash and Ariela Sofer, Linear And Nonlinear Programming, McGraw-hill,1996 |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| 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 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 1 | 1 | | Preparation for Quiz | | | | | 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) | | | | | Final exam | 1 | 1 | 1 | | Homework | | | | | Total Workload | | | 141 |
|---|
| Total Workload / 30 | | | 4,7 |
|---|
| ECTS Credits of the Course | | | 5 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
