UA520 Applications of Remote Sensing and Renewable Energy Sources

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code UA520
Name Applications of Remote Sensing and Renewable Energy Sources
Term 2024-2025 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 Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. OZAN ŞENKAL
Course Instructor
1


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

Update Time: 23.09.2024 03:03