Information
Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (MASTER) (WITH THESIS) | |
Code | UA523 |
Name | Basic Principles of Geographic Information Systems |
Term | 2025-2026 Academic Year |
Term | Spring |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Belirsiz |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. NAZIM AKSAKER |
Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to teach the fundamental concepts and principles of Geographic Information Systems (GIS); introduce geographic data types, data structures, and database management; and provide knowledge about spatial analysis techniques and basic applications in GIS software.
Course Content
Definition and components of Geographic Information Systems; data types; vector and raster data structures; data collection methods; database management; map projections and coordinate systems; concepts of spatial analysis; basic applications in GIS software.
Course Precondition
No preliminary preparation required
Resources
Longley, P. A., Goodchild, M. F., Maguire, D. J., Rhind, D. W. (2015). Geographic Information Systems and Science. Chang, K. T. (2016). Introduction to Geographic Information Systems. Arıbaş, Ş. (2012). Coğrafi Bilgi Sistemleri Temel İlkeler. Ders notları ve güncel akademik makaleler / Lecture notes and current academic articles.
Notes
Longley, P. A., Goodchild, M. F., Maguire, D. J., Rhind, D. W. (2015). Geographic Information Systems and Science. Chang, K. T. (2016). Introduction to Geographic Information Systems. Arıbaş, Ş. (2012). Coğrafi Bilgi Sistemleri Temel İlkeler. Ders notları ve güncel akademik makaleler / Lecture notes and current academic articles.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explain the fundamental concepts of GIS. |
LO02 | Understand geographic data types and data structures. |
LO03 | Describe GIS database management processes. |
LO04 | Apply basic spatial analysis methods. |
LO05 | Conduct basic applications using GIS software. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory | |
PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data | |
PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | 2 |
PLO04 | Bilgi - Kuramsal, Olgusal | The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. | |
PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research | 3 |
PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software | 3 |
PLO07 | Bilgi - Kuramsal, Olgusal | The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. | |
PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. | |
PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students can generate data for GIS projects using Remote Sensing techniques. | 2 |
PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques | 3 |
PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability of problem solving, solving, solution oriented application development | |
PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction to GIS and its history | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
2 | Components of GIS | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
3 | Geographic data types | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
4 | Vector data structure | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
5 | Raster data structure | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
6 | Data collection methods | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
7 | Database management | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
8 | Mid-Term Exam | There is preliminary preparation | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Proje / Tasarım |
9 | Map projections and coordinate systems | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
10 | Concepts of spatial analysis | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
11 | Spatial queries | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
12 | Basic spatial analysis methods | There is no preliminary preparation | Öğretim Yöntemleri: Tartışma, Anlatım |
13 | Applications in GIS software I | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
14 | Applications in GIS software II | There is no preliminary preparation | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
15 | General evaluation | There is no preliminary preparation | Öğretim Yöntemleri: Tartışma |
16 | Term Exams | There is preliminary preparation | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Proje / Tasarım |
17 | Term Exams | There is no preliminary preparation | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Proje / Tasarım |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 15 | 3 | 45 |
Out of Class Study (Preliminary Work, Practice) | 15 | 4 | 60 |
Assesment Related Works | |||
Homeworks, Projects, Others | 1 | 20 | 20 |
Mid-term Exams (Written, Oral, etc.) | 1 | 10 | 10 |
Final Exam | 1 | 15 | 15 |
Total Workload (Hour) | 150 | ||
Total Workload / 25 (h) | 6,00 | ||
ECTS | 6 ECTS |