Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Ecotourism Entrepreneurship EKO505 3 + 0 3.0 8.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery
Course Coordinator Prof. Dr. Pınar GÜLTEKİN
Assoc. Prof. Dr. Yaşar Selman GÜLTEKİN
Instructors Yaşar Selman GÜLTEKİN
Assistants
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.
Learning Outcomes
Weekly Topics (Content)
Week Topics Learning Methods
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
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level Measurement Method
PY1 4 -
PY3 4 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 2 1 2 2
Homework 1 7 3 21
Homework 2 14 3 42
Final 1 3 3
Practice 14 3 42
Practice End-Of-Term 14 3 42
Classroom Activities 14 3 42
Total Workload 194
ECTS Credit of the Course 8.0