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Information
| Code | UA0013 |
| Name | |
| Term | 2023-2024 Academic Year |
| Term | Fall |
| 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 Instructor |
1 |
Course Goal / Objective
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 | ||