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Information
| Code | UA010 |
| Name | Basic Principles and Applications of Geographical Information Systems II |
| Term | 2022-2023 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 2-1 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 2.5 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 Goal / Objective
The application of Remote Sensing and GIS which play an importanat role in todays agriculture will be explained. The basic information on remote sensing GIS technologies and different methodologies are presented. The results of applications will be interpreted and thier efficient use are discussed.
Course Content
History of Geographical Information Systems. What are the usage areas. What are the programs used in Geographical Information Systems.
Course Precondition
None
Resources
Lecture Notes
Notes
Lecture Notes of ITU
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn to use Geographic Information Systems |
| LO02 | Learns and applies the studies using Geographical Information Systems |
| LO03 | Has knowledge on the application and principles of GIS |
| LO04 | Learns the software in Geographical Information Systems |
| LO05 | Learn to make analysis in Geographic Information Systems |
| LO06 | Establishes the logical build up in GIS and data relationships |
| LO07 | Understands the relationship between remote Sensing and GIS in Agriculture |
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 | 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 | What is Geographic Information Systems | literature review | Öğretim Yöntemleri: Anlatım |
| 2 | Histroy of Geographic Information Systems | literature review | Öğretim Yöntemleri: Anlatım |
| 3 | What is a Steroscope. Providing three-dimensional vision with aerial photos | Lab training | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Erdas Software use | Lab training | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | Classification of data , topology and data sources | Lab training | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | Geographic Correction on the topographic map | Lab training | Öğretim Yöntemleri: Anlatım |
| 7 | Projection metods, Geo-referancing and coordinate systems | Lab training | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
| 9 | Satellite images, topographic maps and coordinate determination in aerial photographs | Lab training | Öğretim Yöntemleri: Anlatım |
| 10 | Image Classification | Lab training | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 11 | Geographic correction and components and system elements of GIS | Lab training | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 12 | Raster and vector data | Lab training | Öğretim Yöntemleri: Anlatım |
| 13 | Land Use and Land Cover | Lab training | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Case studies from agricultural and environmental applications. | Lab training | Öğretim Yöntemleri: Anlatım |
| 15 | Overlay of the images | Lab training | Öğretim Yöntemleri: Anlatım |
| 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 | 1 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 159 | ||
| Total Workload / 25 (h) | 6,36 | ||
| ECTS | 6 ECTS | ||