Information
Code | UA0013 |
Name | |
Semester | . Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Doktora Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator |
Course Goal
Detailed learning of Remote Sensing techniques
Course Content
Remote Sensing, Modeling Techniques and Analysis
Course Precondition
None
Resources
Lecture Notes
Notes
Lecture Notes of ITU
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Recent Techniques Used in Remote Sensing |
LO02 | Models used in Remote Sensing Projects |
LO03 | Techniques of using different Satellite images |
LO04 | Usage techniques of projection systems |
LO05 | Using Remote Sensing in Different Studies |
LO06 | Digital Image Processing in 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. | 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. | |
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. | 3 |
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. | 3 |
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 | Getting Information about Different Satellite Images Used in Remote Sensing 1 | Subject evaluation | Öğretim Yöntemleri: Anlatım |
2 | Getting Information about Different Satellite Images Used in Remote Sensing 2 | Lecture and Application | Öğretim Yöntemleri: Anlatım |
3 | Elements to be considered in Remote Sensing Project Preparations and problem solving techniques 1 | Lecture and Application | Öğretim Yöntemleri: Anlatım |
4 | Elements to be considered in Remote Sensing Project Preparations and problem solving techniques 2 | Lecture and Application | Öğretim Yöntemleri: Anlatım |
5 | Techniques for using remote sensing in multi-disciplinary studies 1 | Lecture and Application | Öğretim Yöntemleri: Anlatım |
6 | Techniques for using remote sensing in multi-disciplinary studies 2 | Lecture and Application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
7 | Use of Modeling techniques in multi-disciplinary studies | Lecture and Application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
9 | Projection Methods | Lecture and Application | Öğretim Yöntemleri: Anlatım |
10 | Georeference and Coordinate Systems | Lecture and Application | Öğretim Yöntemleri: Anlatım |
11 | Topological correlation with satellite data 1 | Lecture and Application | Öğretim Yöntemleri: Anlatım |
12 | Topological correlation with satellite data 2 | Lecture and Application | Öğretim Yöntemleri: Anlatım |
13 | Elements to be considered in image interpretation 1 | Lecture and Application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
14 | Elements to be considered in image interpretation 2 | Lecture and Application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
15 | An overview | question and answer | Öğretim Yöntemleri: Soru-Cevap |
16 | Term Exams | Ölçme Yöntemleri: Sözlü Sınav |
|
17 | Term Exams | 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 |