|
|
| INSL7631 | Optimization in Geotechnical Engineering | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of CIVIL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | The course aim is to have students to gain ability to understand fundamentals of Optimization |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Introduction to optimization. | 1,5 | 1 | | PO - 2 : | Classical optimization. | 1,5 | 1 | | PO - 3 : | Linear programming. | 1,5 | 1 | | PO - 4 : | Simpleks method. | 1,5 | 1 | | PO - 5 : | Duality theory and dual simpleks method. | 1,3,5,8,11 | 1 | | PO - 6 : | Solution after optimization. | 1,5 | 1 | | PO - 7 : | Solution after optimization. | 1,5 | 1 | | PO - 8 : | Optimization applications in geotechnical engineering. | 1,5 | 1 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Introduction to optimization. Classical optimization. Linear programming. Simpleks method. Duality theory and dual simpleks method. Solution after optimization. Optimization applications in geotechnical engineering. |
| |
| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to optimization | | | Week 2 | Introduction to optimization | | | Week 3 | Introduction to optimization | | | Week 4 | Classical optimization. | | | Week 5 | Classical optimization. | | | Week 6 | Linear programming | | | Week 7 | Linear programming | | | Week 8 | Simplex method. | | | Week 9 | Mid-term exam | | | Week 10 | Simplex method. | | | Week 11 | Duality theory and dual simpleks method. | | | Week 12 | Duality theory and dual simpleks method. Short Exam | | | Week 13 | Solution after optimization. | | | Week 14 | Solution after optimization. | | | Week 15 | Optimization applications in geotechnical engineering.
| | | Week 16 | End-of-term exam | | | |
| 1 | Encyclopedia of Optimization Floudas, Christodoulos A.; Pardalos, Panos M. (Eds.)2nd ed. 2009, XXXIV, 4626p. 613 illus. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 22/11/2021 | 2 | 30 | | In-term studies (second mid-term exam) | 12 | 03/01/2021 | 2 | 20 | | End-of-term exam | 16 | 10/01/2021 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 30 | 1 | 30 | | Arasınav | 2 | 1 | 2 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 0 | 0 | 0 | | Proje | 0 | 0 | 0 | | Kısa sınav | 2 | 1 | 2 | | Dönem sonu sınavı için hazırlık | 50 | 1 | 50 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 13 | 1 | 13 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 225 |
|