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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (MASTER) (WITH THESIS) | |
| Code | UA520 |
| Name | Applications of Remote Sensing and Renewable Energy Sources |
| Term | 2018-2019 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 |
The current term course schedule has not been prepared yet.
|
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
Resources
Notes
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 |
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 | |
| 2 | Basic map information | Related subjects in the course text book | |
| 3 | Data display | Related subjects in the course text book | |
| 4 | Data types: vector and raster | Related subjects in the course text book | |
| 5 | Using remote sensing software | Related subjects in the course text book | |
| 6 | Data Entry to a remote sensing software | Related subjects in the course text book | |
| 7 | Symbology in remote sensing | Related subjects in the course text book | |
| 8 | Mid-Term Exam | Preparing for the exam and rewieving of the topics | |
| 9 | Query and Report the data in remote sensing 1 | Related subjects in the course text book | |
| 10 | Query and Report the data in remote sensing 2 | Related subjects in the course text book | |
| 11 | Data analysis | Related subjects in the course text book | |
| 12 | Basic mathematical operations | Related subjects in the course text book | |
| 13 | Remote sensing applications 1 | Related subjects in the course text book | |
| 14 | Remote sensing applications 2 | Related subjects in the course text book | |
| 15 | Remote sensing applications | Related subjects in the course text book | |
| 16 | Term Exams | Preparing for the exam and rewieving of the topics | |
| 17 | Term Exams | Preparing for the exam and rewieving of the topics |
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 | ||