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Information
| Code | UA520 |
| Name | Applications of Remote Sensing and Renewable Energy Sources |
| Term | 2022-2023 Academic Year |
| Semester | . Semester |
| 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. OZAN ŞENKAL |
Course Goal / Objective
The use of remote sensing.
Course Content
The methods used for renewable energy sources by using remote sensing applications, software, algorithms, and studies to determine strategies to be followed, sample applications.
Course Precondition
None
Resources
Aranof S 2005 Remote Sensing for GIS Managers ESRI Press California USA Aranof, S. 2005. Remote Sensing for GIS Managers, ESRI Press, California, USA
Notes
Lecture notes/presentations prepared by the instructor of the course
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Describe remote sensing and give examples of how they can be applied |
| LO02 | Use and analyze remote sensing data in various formats |
| LO03 | Describe the differences between vector and raster data |
| LO04 | Makes applications of determining the efficiency of Renewable Energy Resources with Remote Sensing. |
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 | 5 |
| 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. | |
| 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. | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research | 5 |
| 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. | 4 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students can generate data for GIS projects using Remote Sensing techniques. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques | |
| 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 | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definitions and History of remote sensing | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Tartışma, Bireysel Çalışma |
| 2 | Basic map information | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma |
| 3 | Data display | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma, Bireysel Çalışma |
| 4 | Data types: vector and raster | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma, Bireysel Çalışma |
| 5 | Using remote sensing software | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Bireysel Çalışma |
| 6 | Data Entry to a remote sensing software | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Bireysel Çalışma |
| 7 | Symbology in remote sensing | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Bireysel Çalışma |
| 8 | Mid-Term Exam | Preparing for the exam and rewieving of the topics | Ölçme Yöntemleri: Sözlü Sınav |
| 9 | Query and Report the data in remote sensing 1 | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma |
| 10 | Query and Report the data in remote sensing 2 | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Tartışma, Bireysel Çalışma |
| 11 | Data analysis | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Tartışma, Bireysel Çalışma |
| 12 | Basic mathematical operations | Related subjects in the course text book | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 13 | Remote sensing applications 1 | Related subjects in the course text book | Öğretim Yöntemleri: Gösterip Yaptırma, Problem Çözme |
| 14 | Remote sensing applications 2 | Related subjects in the course text book | Öğretim Yöntemleri: Gösterip Yaptırma, Problem Çözme |
| 15 | Remote sensing applications | Related subjects in the course text book | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Beyin Fırtınası |
| 16 | Term Exams | Preparing for the exam and rewieving of the topics | Ölçme Yöntemleri: Sözlü Sınav |
| 17 | Term Exams | Preparing for the exam and rewieving of the topics | Ölçme Yöntemleri: Sözlü 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 | ||