| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Doctorate Of Science |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | Associate Professor Emre Sümer
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Learn the basics, components and applications of Geographic Information Systems (GIS).
2) Have an idea about different data models and applications.
3) Learn application development using existing GIS software packages.
4) Gain the ability to read, comprehend and present a scientific article.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | Determined by the instructor |
| COURSE DEFINITION | Introduction to Geographic Information Systems (GIS). GIS architecture. GIS input and output data. Raster and Vector data models. Organization and representation of spatial data. Database management systems. Spatial data analysis(network analysis, proximity analysis, 3D visualization). Developing basic applications with available GIS software packages (ArcGIS, MapInfo, ArcView). |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Introduction to Geographic Information Systems (GIS) | | 2nd Week | Datums, Ellipsoids, Geoids, Coordinate Systems, and Map Projections | | 3rd Week | Data for Input to GIS | | 4th Week | Data Quality | | 5th Week | Data Models and Databases | | 6th Week | Spatial Analysis of Vector and Raster Data | | 7th Week | GIS Network Analysis | | 8th Week | Mid-term | | 9th Week | Statistics and Spatial Data Measurements | | 10th Week | Spatial Analysis of Three-dimensional Data | | 11th Week | Cartography Using A GIS | | 12th Week | GIS Hardware, Computer Programming in GIS | | 13th Week | Future of GIScience | | 14th Week | Paper Presentations |
|
| RECOMENDED OR REQUIRED READING | Introductory Geographic Information Systems: International Edition, Jensen & Jensen, Pearson, 2013. |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Project | 3 | 15 | | Presentation of Article | 1 | 15 | | Total(%) | | 60 | | Contribution of In-term Studies to Overall Grade(%) | | 60 | | Contribution of Final Examination to Overall Grade(%) | | 40 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 2 | 2 | | Preparation for Quiz | | | | | Individual or group work | | | | | Preparation for Final exam | 1 | 70 | 70 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 50 | 50 | | Laboratory (including preparation) | | | | | Final exam | 1 | 2 | 2 | | Homework | 2 | 30 | 60 | | Presentation (including preperation) | 1 | 40 | 40 | | Project | 1 | 35 | 35 | | Total Workload | | | 301 |
|---|
| Total Workload / 30 | | | 10,03 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
