Rapor Tarihi: 11.04.2026 04:52
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Ecotourism and Spatial Statistics | EKO510 | Turkish | Compulsory | 3 + 0 | 3.0 | 8.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Fce to face, in Turkish |
| Course Coordinator | Prof. Dr. Pınar GÜLTEKİN |
| Instructor(s) | |
| Goals | The aim of the course is to provide the student with the necessary - To gain the ability to evaluate spatial data, - To provide the knowledge of applying spatial statistics techniques by utilizing GIS - A special focus on ecotourism practices. |
| Course Content | Students are given a set of applied statistical tools and modeling frameworks for statistical analysis of spatial data that can be used in professional life. As an outcome of the course, students will be able to: 1- Apply basic tools and functions in spatial statistics in GIS 2- In terms of appropriate techniques, functions and methods Can create statistical analysis flows. 3- Understand, modify and/or adapt existing scenarios in ecotourism studies. 4- Apply spatial regression methods. 5- Perform spatial statistical operations in ecotourism studies. |
| # | Öğrenme Kazanımı |
| 1 | Explains the concepts of spatial data and spatial statistics. |
| 2 | Analyses spatial data types and characteristics. |
| 3 | Applies spatial statistical methods. |
| 4 | Interprets the results of spatial data analysis. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Basic Statistical Concepts | Presentation (Preparation) |
| 2. Week | Descriptive Statistics | Presentation (Preparation) |
| 3. Week | Inferential Statistics | |
| 4. Week | Definition and Acquisition of Spatial Data | Preparation, After Class Study, Research, Presentation (Preparation) |
| 5. Week | Spatial Sampling | Presentation (Preparation) |
| 6. Week | Spatial Descriptive Statistics | Presentation (Preparation) |
| 7. Week | Program installation and data evaluation in GIS, use of basic functions | Other Activities, Presentation (Preparation) |
| 8. Week | mid term review | Research, Presentation (Preparation) |
| 9. Week | Spatial Pattern Analysis Spatial Autocorrelation Techniques | |
| 10. Week | Examination of Application Examples at Local and Regional Scale | Presentation (Preparation) |
| 11. Week | Application of Spatial Statistics in Ecotourism Studies | Presentation (Preparation) |
| 12. Week | Application of Spatial Statistics in Ecotourism Studies | Presentation (Preparation) |
| 13. Week | Application of Spatial Statistics in Ecotourism Studies | Presentation (Preparation) |
| 14. Week | Application of Spatial Statistics in Ecotourism Studies | Presentation (Preparation) |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Based on graduate level proficiency, to accomplish the level of experties in the field of ecotourism | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 3 | 4 | 5 | 5 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Homework | 14 | 3 | 42 |
| Presentation (Preparation) | 14 | 2 | 28 | |
| Practice | 14 | 2 | 28 | |
|
Sınavlar |
Midterm | 1 | 2 | 2 |
| Midterm Preparation | 1 | 2 | 2 | |
| Homework | 1 | 14 | 14 | |
| Homework Preparation | 1 | 14 | 14 | |
| Final | 1 | 3 | 3 | |
| Practice | 14 | 1 | 14 | |
| Practice End-Of-Term | 1 | 3 | 3 | |
| Classroom Activities | 1 | 3 | 3 | |
| Total Workload | 195 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 8.0 | ||
