Information Package / Course Catalogue
| Course Code | : MCE504 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
This course aims to equip students with an understanding of optimization theory and techniques. By the end of the course, students will be able to formulate and solve various optimization problems, interpret the obtained results, and make informed decisions. Students will be equipped with the knowledge and skills to address real-world optimization challenges effectively.
The course content includes topics such as graphical optimization, linear programming, the simplex method, application of the simplex method, duality theory, sensitivity analysis, nonlinear programming, numerical techniques for one-dimensional and unconstrained optimization, discrete optimization, transportation models, and network optimization models.
| 1. | Students will have a foundation in optimization theory and techniques. |
| 2. | Students will be able to analyze and interpret the results obtained from various optimization methods. |
| 3. | Students will have gained proficiency in using numerical techniques and programming languages for optimization. |
| 4. | Students will be equipped with the knowledge and skills to formulate and solve real-world engineering optimization problems efficiently and effectively. |
| 5. | Students will be able to implement the models required by their field of expertise using programming languages, and to program algorithms to evaluate the obtained outputs using numerical and graphical methods. |
| 1. | Applied Optimization with MATLAB Programming (Venkataraman, 2001) |
| 2. | Operations Research - An Introduction (Taha, 2006) |
| 3. | Introduction to Mathematical Optimization - From Linear Programming to Metaheuristics (Yang, 2008) |
| Type of Assessment | Count | Percent |
|---|---|---|
| Presentation | 1 | %15 |
| Assignment | 1 | %15 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %40 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 3 | 56 |
| Assignment | 1 | 0 | 20 | 20 |
| Presentation | 1 | 10 | 0 | 10 |
| Reading | 2 | 0 | 10 | 20 |
| Individual Work | 2 | 10 | 1 | 22 |
| Final Examination | 1 | 25 | 3 | 28 |
| TOTAL WORKLOAD (hours) | 156 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | |
OÇ-1 | 3 | 4 | 4 | 5 | 3 | 4 | 4 | 4 | 5 | 3 | 3 | 3 | 5 |
OÇ-2 | 3 | 4 | 4 | 4 | 5 | 4 | 3 | 5 | 5 | 3 | 4 | 3 | 5 |
OÇ-3 | 5 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 5 | 4 | 5 | 5 | 3 |
OÇ-4 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 4 | 5 | 5 |
OÇ-5 | 4 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 3 | 4 | 4 |