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Information
| Code | UA001 |
| Name | Basic Principles and Applications of Geographical Information Systems I |
| Term | 2024-2025 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 | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET EREN ÖZTEKİN |
| Course Instructor |
Prof. Dr. MEHMET EREN ÖZTEKİN
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Understanding the usage areas and facilities of Geographic Information Systems
Course Content
Basic disciplines of Geographical Information Systems
Course Precondition
None
Resources
GIS Lecture Notes
Notes
ITU lecture Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Has knowledge on the use and applications of Remote Sensing in Agriculture |
| LO02 | Has basic knowledge on monitoring and mapping of the soils and vegetation using Remote Sensing |
| LO03 | Developes the understanding of monitoring temporal changes and presents land use |
| LO04 | Has knowledge on the application and principles of GIS |
| LO05 | Establishes the logical build up in GIS and data relationships |
| LO06 | Understands the relationship between remote Sensing and GIS in Agriculture |
| LO07 | Developes principle data analysis |
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 | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | 3 |
| 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 | |
| PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software | |
| 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. | 3 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques | 4 |
| 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 | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Applications Of Remote Sensing in different dicipline | Lecturing | Öğretim Yöntemleri: Anlatım |
| 2 | Sensors and their properties. | Lecturing and practice | Öğretim Yöntemleri: Anlatım |
| 3 | Reflactance and elektro magnetic spectrum | Lecturing and practice | Öğretim Yöntemleri: Anlatım |
| 4 | Reflectance characteristics of soils and vegetation | Lecturing and practice | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 5 | Image Processing and geometric and radiometric correction and image enhancement | Lecturing and practice | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | Image Classification supervised and unsupervised | Lecturing and practice | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 7 | Image interpretation and accuracy assesment, case studies | Lecturing and practice | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
| 9 | GIS and application areas | Lecturing and practice | Öğretim Yöntemleri: Soru-Cevap |
| 10 | Projection metods, Geo-referancing and coordinate systems | Lecturing and practice | Öğretim Yöntemleri: Anlatım |
| 11 | Geographic correction and components and system elements of GIS | Lecturing and practice | Öğretim Yöntemleri: Tartışma |
| 12 | Raster and vector data | Lecturing and practice | Öğretim Yöntemleri: Anlatım |
| 13 | Classification of data , topology and data sources | Lecturing and practice | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Data collection, storage and database structures, geographic analysis | Lecturing and practice | Öğretim Yöntemleri: Anlatım |
| 15 | Case studies from agricultural and environmental applications. | Lecturing and practice | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||