| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Should have become familiar with mathematical models used in economics.
- 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 |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | 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 |
Midterm |
|
8th Week |
Basics and Methods of Unconstrained Optimization |
|
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 |
|
| Recommended or Required Reading | Stephen G. Nash and Ariela Sofer, Linear And Nonlinear Programming, McGraw-hill,1996 |
|---|
| Planned Learning Activities and Teaching Methods |
|
|---|
| 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 Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| 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 Work Load | 141 |
| Total Work Load / 30 (h) | 4.7 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
