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| JDZL7450 | Production of Landslide Susceptibility Maps | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Fatih KADI | | Co-Lecturer | Prof. Dr. Faruk YILDIRIM | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Analyzing the risks caused by landslides and mapping them through various techniques constitute the primary objectives of this course. Additionally, the contents and applicabilities of heuristic and statistical-based models used in the production of landslide susceptibility maps are among the other objectives of the course. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Being able to master the use of heuristic and statistical models in the production of landslide susceptibility maps. | 1,3 | 1,6, | | PO - 2 : | Being able to acquire knowledge about the preparation of data used in the production of susceptibility maps and inventory maps. | 1,3 | 1,6, | | PO - 3 : | Being able to acquire knowledge about the production of susceptibility maps and conducting accuracy analyses related to the produced maps. | 1,3 | 1,6, | | PO - 4 : | Being able to acquire knowledge about conducting risk analyses for infrastructure and superstructure facilities based on the produced landslide susceptibility maps. | 1,3 | 6, | | 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 | | |
| (1) Concept, significance, and classifications of landslides, (2) The impact of landslides in our country and Eastern Black Sea Region developed information databases, and statistical data history, (3) Concept of landslide susceptibility map and the dataset used in its production, (4) Applications related to the extraction of factors from the dataset, (5) Landslide inventory map and the methodology used in its digitization, (6, 7) Models used in the production of landslide susceptibility maps (Heuristic-based models - Multi-Criteria Decision Analysis MCDA), (8) Models used in the production of landslide susceptibility maps (Statistical-based models - Frequency Ratio (FR)), (10) Models used in the production of landslide susceptibility maps (Statistical-based models - Weight of Evidence WOE), (11) Models used in the production of landslide susceptibility maps (Statistical-based models - Modified Information Value MIV), (12) Accuracy evaluations related to landslide susceptibility maps (RMS, AUC-ROC analyses), (13) Calculation and interpretation of success and prediction rates, (14, 15) Project presentations and discussion of outputs. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Concept, significance, and classifications of landslides | | | Week 2 | The impact of landslides in Our Country and Eastern Black Sea Region, developed information databases, and statistical data history | | | Week 3 | Concept of landslide susceptibility map and the dataset used in its production | | | Week 4 | Applications related to the extraction of factors from the dataset | | | Week 5 | Landslide inventory map and the methodology used in its digitization | | | Week 6 | Models used in the production of landslide susceptibility maps (Heuristic-based models - Multi-Criteria Decision Analysis MCDA) | | | Week 7 | Models used in the production of landslide susceptibility maps (Heuristic-based models - Multi-Criteria Decision Analysis MCDA) | | | Week 8 | Models used in the production of landslide susceptibility maps (Statistical-based models - Frequency Ratio (FR)) | | | Week 9 | Midterm exam | | | Week 10 | Models used in the production of landslide susceptibility maps (Statistical-based models - Weight of Evidence WOE) | | | Week 11 | Models used in the production of landslide susceptibility maps (Statistical-based models - Modified Information Value MIV) | | | Week 12 | Accuracy evaluations related to landslide susceptibility maps (RMS, AUC-ROC analyses) | | | Week 13 | Calculation and interpretation of success and prediction rates | | | Week 14 | Project presentations and discussion of outputs | | | Week 15 | Project presentations and discussion of outputs | | | Week 16 | Final exam | | | |
| 1 | Margottini, C., Canuti, P., Sassa K. 2013. Landslide Science and Practice: Volume 1: Landslide Inventory and Susceptibility and Hazard Zoning / Kitap | | | 2 | Mandal, S. and Mondal, S. 2018. Statistical Approaches for Landslide Susceptibility Assessment and Prediction / Kitap | | | 3 | Diley, M., Chen, R.S., Deichmann, U., et al. 2005. Natural Disaster Hotspots: A Global Risk Analysis / Kitap | | | |
| 1 | Ingleton, J. 1999. Natural Disaster Management / Yardımcı Kitap | | | 2 | AFAD, 2021. İl Afet Risk Azaltma Planı / Yardımcı Kitap | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1,5 | 25 | | Project | 14
15 | | 6 | 25 | | End-of-term exam | 16 | | 1,5 | 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 | | Arasınav için hazırlık | 6 | 6 | 36 | | Arasınav | 1 | 1 | 1 | | Proje | 5 | 5 | 25 | | Dönem sonu sınavı için hazırlık | 6 | 6 | 36 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 225 |
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