Rapor Tarihi: 24.02.2026 07:20
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Ecotourism Entrepreneurship | EKO505 | Turkish | Compulsory | 3 + 0 | 3.0 | 8.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Face to face |
| Course Coordinator | Prof. Dr. Pınar GÜLTEKİN, Doç. Dr. Yaşar Selman GÜLTEKİN |
| Instructor(s) | Doç. Dr. Yaşar Selman GÜLTEKİN (Güz), Prof. Dr. Pınar GÜLTEKİN (Bahar) |
| 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. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Basic Statistical Concepts | |
| 2. Week | Descriptive Statistics | |
| 3. Week | Inferential Statistics | |
| 4. Week | Definition and Acquisition of Spatial Data | |
| 5. Week | Spatial Sampling | |
| 6. Week | Spatial Descriptive Statistics | |
| 7. Week | Program installation and data evaluation in GIS, use of basic functions | |
| 8. Week | mid term exam | |
| 9. Week | Spatial Pattern Analysis Spatial Autocorrelation Techniques | |
| 10. Week | Examination of Application Examples at Local and Regional Scale | |
| 11. Week | Examination of Application Examples at Local and Regional Scale | |
| 12. Week | Application of Spatial Statistics in Ecotourism Studies | |
| 13. Week | Application of Spatial Statistics in Ecotourism Studies | |
| 14. Week | Application of Spatial Statistics in Ecotourism Studies |
| 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 | ✔ | |||||
| 3 | By taking leadership responsibility, the ability to conduct independent research on a complex problem, to develop new approaches for new solutions, to publish the results | ✔ | |||||
| Program Requirements |
|---|
| PY1 |
| PY3 |
| Ders Kitabı veya Notu |
|
|---|---|
| Diğer Kaynaklar | Diğer Kaynaklar bulunmamaktadır. |
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Sınavlar |
Midterm 1 | 1 | 2 | 2 |
| Midterm 2 | 1 | 2 | 2 | |
| Homework 1 | 7 | 4 | 28 | |
| Homework 2 | 14 | 2 | 28 | |
| Quiz 1 | 1 | 1 | 1 | |
| Final | 1 | 3 | 3 | |
| Practice | 14 | 3 | 42 | |
| Practice End-Of-Term | 14 | 3 | 42 | |
| Classroom Activities | 14 | 1 | 14 | |
| Total Workload | 204 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 8.0 | ||
