| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Gain an ability to identify, formulate, and solve mathematical models of Industrial Engineering problems
- Understand using different mathematical modeling techniques and Methodology of operations research
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | No |
|---|
| Course Description | |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
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 |
|
| Recommended 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 (%) |
| 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 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| 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 Work Load | 306 |
| Total Work Load / 30 (h) | 10.2 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
