| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree With Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | -
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Learn Structure of the spatial domain,Basic approaches for spatial analysis, vector and raster data structures.
2) Learn Visualization methods, Generalization statistical analyzes, Geometric processes in spatial analysis.
3) Learn Spatial analysis and modeling, Surface analysis, Network analysis.
4) Learn Grid analysis, Geostatistical analysis, New approaches for spatial analysis.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
| COURSE DEFINITION | The structure of the spatial domain. Basic approaches for spatial analysis. Basic approaches for spatial analysis. Vector and raster data structures. Visualization methods. Generalization
statistical analysis. Geometric processes in spatial analysis. Spatial analysis and modeling. Surface analysis. Network analysis. Grid analyzes. Geostatistical analysis. New approaches for spatial analysis. |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Structure of the spatial domain | | 2nd Week | Basic approaches for spatial analysis | | 3rd Week | Basic approaches for spatial analysis | | 4th Week | Vector and raster data structures | | 5th Week | Visualization methods | | 6th Week | Generalized statistical analyzes | | 7th Week | Geometric processes in spatial analysis | | 8th Week | Midterm | | 9th Week | Spatial analysis and modeling | | 10th Week | Surface analysis | | 11th Week | Network analysis | | 12th Week | Grid analyzes | | 13th Week | Geostatistical analysis | | 14th Week | New approaches for spatial analysis |
|
| RECOMENDED OR REQUIRED READING | Mathematical Modelling in Geographical Information System,Hari Shanker Sharma,Rama Prasad And P.R. Binda,Concept Publishing Company |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 40 | | Total(%) | | 40 | | Contribution of In-term Studies to Overall Grade(%) | | 40 | | Contribution of Final Examination to Overall Grade(%) | | 60 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 2 | 2 | | Preparation for Quiz | | | | | Individual or group work | 14 | 11 | 154 | | Preparation for Final exam | 1 | 69 | 69 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 44 | 44 | | Laboratory (including preparation) | | | | | Final exam | 1 | 2 | 2 | | Homework | | | | | Total Workload | | | 313 |
|---|
| Total Workload / 30 | | | 10,43 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
