UA0025 Determination of Earth and Atmospheric Changes with Satellite Data.

6 ECTS - 3-1 Duration (T+A)- . Semester- 3.5 National Credit

Information

Code UA0025
Name Determination of Earth and Atmospheric Changes with Satellite Data.
Term 2023-2024 Academic Year
Term Fall
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 Instructor
1


Course Goal / Objective

Teaching the determination of atmospheric changes with satellite data

Course Content

The structure of the atmosphere, atmospheric and meteorological parameters, meteorological observation satellites, determination of meteorological data

Course Precondition

there are no prerequisites

Resources

lecture notes

Notes

reading scientific articles


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 basics of remote sensing no preparation needed Öğretim Yöntemleri:
Anlatım
2 basics of remote sensing-I no preparation needed Öğretim Yöntemleri:
Anlatım
3 basics of remote sensing-II no preparation needed Öğretim Yöntemleri:
Anlatım
4 structure of the atmosphere-I topic repetition Öğretim Yöntemleri:
Anlatım
5 structure of the atmosphere-II topic repetition Öğretim Yöntemleri:
Anlatım
6 atmospheric observation satellites-I topic repetition Öğretim Yöntemleri:
Anlatım
7 atmospheric observation satellites-II topic repetition Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam general repetiion Ölçme Yöntemleri:
Yazılı Sınav
9 atmospheric and meteorological parameters-1 topic repetition Öğretim Yöntemleri:
Anlatım
10 atmospheric and meteorological parameters-2 topic repetition Öğretim Yöntemleri:
Anlatım
11 meteorological satellites topic repetition Öğretim Yöntemleri:
Gösterip Yaptırma
12 meteorological satellite data topic repetition Öğretim Yöntemleri:
Gösterip Yaptırma
13 use of meteorological satellite data-1 topic repetition Öğretim Yöntemleri:
Gösterip Yaptırma
14 use of meteorological satellite data-2 topic repetition Öğretim Yöntemleri:
Gösterip Yaptırma
15 use of meteorological satellite data-3 topic repetition Öğretim Yöntemleri:
Gösterip Yaptırma
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

Update Time: 11.05.2023 03:57