Department of Civil Engineering
Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Department of Civil Engineering
Course Details
Graduate Education Institute
Programme of Department of Civil Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 81011107 | Optimization and Engineering Applications | 2023 | Autumn | 1 | 3+3+0 | 7,5 | 7,5 |
| Course Type | Elective |
| Course Cycle | Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Esra URAY |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Esra URAY | - | [email protected] |
Course Content
Definition of optimization, its basics and application areas, optimization design models, constrained and unconstrained optimization applications, direct search methods, heuristic optimization algorithms and applications with computer software.
Objectives of the Course
To learn the concept of optimization, to examine traditional and modern (heuristic) optimization methods and to obtain optimum solutions for current engineering problems.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Definition of optimization and optimization elements |
| 2 | Formulating optimization problems |
| 3 | Introduction to optimization design models (Size, shape and topology optimization) |
| 4 | Obtaining the optimum design with graphical methods and Excel solver |
| 5 | Unlimited optimization (Local and global minima, Gradient and Hessian matrices) |
| 6 | Unlimited optimization (Steepest Descent method, Newton's method) |
| 7 | Constrained optimization (Lagrange multipliers method) |
| 8 | Limited optimization (Feasible directions method, Penalty functions) |
| 9 | Arasınav |
| 10 | Introduction to heuristic optimization methods (Optimum design practices and articles) |
| 11 | Introduction to heuristic optimization methods (Optimum design practices and articles) |
| 12 | Heuristic optimization methods (Student Application, Research and Presentation) |
| 13 | Heuristic optimization methods (Student Application, Research and Presentation) |
| 14 | Heuristic optimization methods (Student Application, Research and Presentation) |
| 15 | Heuristic optimization methods (Student Application, Research and Presentation) |
Textbook or Material
| Resources | Özturan, A.T. (2019): Optimizasyon ve Matlab Uygulamaları, Nobel. |
| Özturan, A.T. (2019): Optimizasyon ve Matlab Uygulamaları, Nobel. | |
| Özturan, A.T. (2019): Optimizasyon ve Matlab Uygulamaları, Nobel. | |
| Özturan, A.T. (2019): Optimizasyon ve Matlab Uygulamaları, Nobel. | |
| Özturan, A.T. (2019): Optimizasyon ve Matlab Uygulamaları, Nobel. |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||