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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (PhD) | |
| Code | UA601 |
| Name | Advanced Geographic Information Systems Technologies |
| Term | 2025-2026 Academic Year |
| Term | Fall |
| 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 provide in-depth knowledge of advanced Geographic Information Systems (GIS) technologies and applications; to develop competencies in spatial data analysis, web-based GIS, cloud GIS, and mobile GIS technologies.
Course Content
Development of GIS technologies; advanced spatial data analysis methods; web-based GIS applications; cloud GIS infrastructures; mobile GIS technologies; open-source GIS software; big data integration in GIS; 3D GIS applications; GIS and artificial intelligence integration.
Course Precondition
There are no prerequisites
Resources
Longley, P. A., Goodchild, M. F., Maguire, D. J., Rhind, D. W. (2015). Geographic Information Systems and Science. Kang-tsung Chang. (2019). Introduction to Geographic Information Systems. Zhang, C. (2018). Web GIS: Principles and Applications. Ders notları ve güncel makaleler / Lecture notes and recent articles.
Notes
Longley, P. A., Goodchild, M. F., Maguire, D. J., Rhind, D. W. (2015). Geographic Information Systems and Science. Kang-tsung Chang. (2019). Introduction to Geographic Information Systems. Zhang, C. (2018). Web GIS: Principles and Applications. Ders notları ve güncel makaleler / Lecture notes and recent articles.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Apply advanced spatial analysis methods |
| LO02 | Develop web-based and cloud-based GIS solutions. |
| LO03 | Utilize mobile GIS technologies |
| LO04 | Compare open-source and commercial GIS software. |
| LO05 | Gain basic competence in integrating AI into GIS applications. |
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. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. | 2 |
| 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. | 2 |
| 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. | 2 |
| 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 | Development of GIS technologies | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Advanced spatial data analysis I | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Advanced spatial data analysis II | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Web-based GIS architectures | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Web-based GIS applications | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Cloud GIS infrastructures | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Mobile GIS technologies | There is no preliminary preparation | Öğretim Yöntemleri: Soru-Cevap, Anlatım |
| 8 | Mid-Term Exam | There is preliminary preparation | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Proje / Tasarım |
| 9 | Open-source GIS software | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Big data integration in GIS | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | 3D GIS applications I | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | 3D GIS applications II | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | GIS and AI integration I | There is no preliminary preparation | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
| 14 | GIS and AI integration II | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | Project presentations and general evaluation | There is no preliminary preparation | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Term Exams | There is preliminary preparation | Ölçme Yöntemleri: Ödev, Proje / Tasarım, Yazılı Sınav |
| 17 | Term Exams | There is preliminary preparation | Ölçme Yöntemleri: Ödev, Proje / Tasarım, Yazılı Sınav |
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 | ||