Information Package / Course Catalogue
Geographic Information Systems
Course Code: BSM411
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

Data collection, enter data on database according to the rules of Geographic Information System (GIS), producing a new data and information, gain skills for analyzing and interpreting this information

Course Content

use of geographic information systems for identification of objects spreaded over large areas, the identification and mapping of their places teach basic information, methods, software and hardware used for this purpose

Name of Lecturer(s)
Learning Outcomes
1.Learn the basic principles and areas of use of GIS
2.Introduction to GIS software, teaching
3. Vectorizing raster maps
4. Creation of query models
5.Coordinating of maps
Recommended or Required Reading
1.Yomralıoğlu, T., (2000), “Coğrafi Bilgi Sistemleri: Temel Kavramlar ve Uygulamalar”, 5.Baskı (2009), s.480, ISBN 975-97369-0-X, İstanbul
2.Worboys M.F., 1995. GIS : A Computing Perspective. Department of Computer Science, Universty of Keele, Keele, UK. Taylor and Francis Ltd.1 Gunpowder Square, London EC4A 3DE. UK
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic principles of geographic information system
Week 2 - Theoretical
Basic Cartography Information
Week 3 - Theoretical
Creating a Map
Week 4 - Theoretical
Attribute Tables
Week 5 - Theoretical
Data Entry Methods
Week 6 - Theoretical
Basic Vector Styling
Week 7 - Theoretical
Calculating Line Lengths and Statistics (Midterm Exam)
Week 8 - Theoretical
Basic Raster Styling and Analysis
Week 9 - Theoretical
Raster Mosaicing
Week 10 - Theoretical
Working with Terrain Data
Week 11 - Theoretical
Working with WMS Data
Week 12 - Theoretical
Working with Projections
Week 13 - Theoretical
Georeferencing Topo Sheets, Scanned Maps and Aerial Imagery
Week 14 - Theoretical
Digitizing Map Data - Working with OpenStreetMap Data
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment5%10
Practice Examination1%5
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141249
Lecture - Practice141249
Assignment52115
Midterm Examination1516
Final Examination1516
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
4
3
2
3
2
1
2
1
2
3
OÇ-2
3
4
2
5
3
1
2
3
1
2
2
OÇ-3
4
5
2
5
4
1
2
1
2
OÇ-4
4
5
3
5
5
2
3
1
2
3
OÇ-5
5
4
3
5
3
1
2
1
3
Adnan Menderes University - Information Package / Course Catalogue
2026