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Information
| Code | UA0024 |
| Name | Determination of earth and atmosphere changes using satellite data |
| Semester | . Semester |
| Duration (T+A) | 3-1 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3.5 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal
Teaching the determination of atmospheric changes with satellite data
Course Content
The structure of the atmosphere, atmospheric and meteorological parameters, meteorological observation satellites,
Course Precondition
There are no prerequisites for the course
Resources
lecture notes
Notes
reading research papers
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | understands remote sensing |
| LO02 | know the structure of the atmosphere |
| LO03 | understands meteorological parameters |
| LO04 | uses meteorological platform data |
| LO05 | determines meteorological changes in the atmosphere |
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. | 5 |
| 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. | 4 |
| 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. | 5 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. | 5 |
| 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. | 3 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | remote sensing | no need any preperation | Öğretim Yöntemleri: Tartışma |
| 2 | basics of remote sensing | no need any preperation | Öğretim Yöntemleri: Anlatım |
| 3 | structer of remote sensing | no need any preperation | Öğretim Yöntemleri: Anlatım |
| 4 | atmosphere | topic repetition | Öğretim Yöntemleri: Anlatım |
| 5 | structure of the atmosphere | topic repetition | Öğretim Yöntemleri: Anlatım |
| 6 | atmospheric observation satellites | topic repetition | Öğretim Yöntemleri: Anlatım |
| 7 | NOAA-METEOSAT-GOES | topic repetition | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | topic repetition | Ölçme Yöntemleri: Ödev |
| 9 | meteorological parameters | topic repetition | Öğretim Yöntemleri: Anlatım |
| 10 | atmospheric and meteorological parameters | topic repetition | Öğretim Yöntemleri: Anlatım |
| 11 | meteorological satellite data | topic repetition | Öğretim Yöntemleri: Anlatım |
| 12 | use of meteorological satellite data | topic repetition | Öğretim Yöntemleri: Anlatım |
| 13 | interpretation of meteorological satellite data | topic repetition | Öğretim Yöntemleri: Anlatım |
| 14 | pressure and humidity | topic repetition | Öğretim Yöntemleri: Anlatım |
| 15 | land surface temperature | topic repetition | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | general repetition | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | general repetition | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 1 | 1 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 153 | ||
| Total Workload / 25 (h) | 6,12 | ||
| ECTS | 6 ECTS | ||