Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
GEOGRAPHİC INFORMATİON SYSTEMS III UCOG475 7. Semester 3 + 0 3.0 6.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Ersin ATEŞ
Assistants
Goals The aim of the course is to develop an advanced understanding of the conceptual, practical and methodological issues associated with using GIS for environmental and socio-economic applications.
Course Content A combination of teaching and learning methods (as shown in the 'format' column of the module programme) are employed to provide students with the necessary knowledge, structure and opportunities to develop and practice skills related to the learning outcomes. Lectures provide a sound knowledge base and structure. Computing practicals provide the opportunity to put these concepts and methods into practice and to gain hands-on experience of using ArcGIS.
Learning Outcomes 1) Can evaluate the geographical data using Three Dimensional Analysis.
2) Can produce new data sets
3) It can report the results of the analysis.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week 3D Analysis Lecture; Question Answer
Opinion Pool
Problem Based Learning 		Presentation (Including Preparation Time)
2. Week TIN and DEM Data Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning 		Presentation (Including Preparation Time)
3. Week Slope, Aspect and Viewshade Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning 		Presentation (Including Preparation Time)
4. Week Hillshade, Countur,Curvature Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning 		Presentation (Including Preparation Time)
5. Week Kriking,IDW, Spline and NN Analysis Lecture; Question Answer
Opinion Pool
Project Based Learning; Problem Based Learning 		Presentation (Including Preparation Time)
6. Week Creating profile Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning 		Presentation (Including Preparation Time)
7. Week Tracking Analysis Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning; Scenario Based Learning 		Presentation (Including Preparation Time)
8. Week Tracking Analysis Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning; Scenario Based Learning 		Presentation (Including Preparation Time)
9. Week Example applications (3D and Tracking Analysis) Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning; Scenario Based Learning 		Homework Presentation (Including Preparation Time)
10. Week Example applications (3D and Tracking Analysis) Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning; Scenario Based Learning 		Homework Presentation (Including Preparation Time)
11. Week Literature Review Lecture; Question Answer; Discussion
Opinion Pool
Problem Based Learning; Scenario Based Learning 		Homework Presentation (Including Preparation Time)
12. Week Spatial Analysis Lecture; Question Answer
Opinion Pool
Problem Based Learning 		Presentation (Including Preparation Time)
13. Week Producing New Data Sets Lecture; Question Answer; Problem Solving
Opinion Pool
Project Based Learning; Problem Based Learning; Scenario Based Learning 		Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Raster Data Conversion Lecture; Question Answer
Opinion Pool
Problem Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Akay,A.E.,Sivrikaya,F.,Gülci,N, Taylan,H. 2011. Yangın Gözetleme Kulelerinin Lokasyonlarının CBS Ortamında Görünürlük Analizi İle Değerlendirilmesi, I. Ulusal Akdeniz,Orman ve Çevre Sempozyumu, K.Maraş
Bayar,R. 2005.CBS YARDIMIYLA MODERN ALIŞVERİŞ MERKEZLERİ İÇİN UYGUN YER SEÇİMİ : ANKARA ÖRNEĞİ,CBD,C:2,s:3
Palmer,R.Palmer,A.,Lyn,M.,Chistine,V.2010. Analyzing Our World Using GIS, Esrii Press
Tağıl,Ş. 2006. KAZDAĞI MİLLİ PARKI’NDA ARAZİ ÖRTÜSÜ ORGANİZASYONUNU, CBD, c: 4,s:2

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 14 3
Homework 7 3
Presentation (Including Preparation Time) 1 1
Report (Including Preparation and presentation Time) 1 5
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 14 3
Midterm Exam 1 3
Time to prepare for Midterm Exam 1 4
Final Exam 1 3
Time to prepare for Final Exam 1 4
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • ECTS credits and course workload