COURSE UNIT TITLE

: REMOTE SENSING SEMINAR

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 6012 REMOTE SENSING SEMINAR ELECTIVE 1 2 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR ATILLA HÜSNÜ ERONAT

Offered to

GEOGRAPHICAL INFORMATION SYSTEMS
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM)
GEOGRAPHIC INFORMATION SYSTEMS
Geographical Information Systems (Non-Thesis)

Course Objective

An independent project is designed and conducted by the student, after instructor approval. The project develops and demonstrates student s competence in using remote sensing techniques in a substantive application appropriate to his/her field of interest. Projects may be developed in coordination with a local government, utility, business, or other entity, which uses remote sensing in its operations and research. A formal presentation and a project report are required.

Learning Outcomes of the Course Unit

1   Students will be able to describe their field of interest in remote sensing precisely
2   They will review problems in the locality and will also review solution strategies for different areas published in journals and proceedings
3   They will be able to apply their knowledge gained in the lectures to the problem they will deal with
4   They will investigate the solution strategies to the problem by remote sensing tools
5   They will collect information, data contributing to the solution of the problem
6   They will assess the solution to the problem they addressed

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Independent 14-week self study under supervision of the instructor.
2 Independent 14-week self study under supervision of the instructor.
3 Independent 14-week self study under supervision of the instructor.
4 Independent 14-week self study under supervision of the instructor.
5 Independent 14-week self study under supervision of the instructor.
6 Independent 14-week self study under supervision of the instructor.
7 Independent 14-week self study under supervision of the instructor.
8 Independent 14-week self study under supervision of the instructor.
9 Independent 14-week self study under supervision of the instructor.
10 Independent 14-week self study under supervision of the instructor.
11 Independent 14-week self study under supervision of the instructor.
12 Independent 14-week self study under supervision of the instructor.
13 Independent 14-week self study under supervision of the instructor.
14 Independent 14-week self study under supervision of the instructor.

Recomended or Required Reading

Remote Sensing of Environment,Elseiver Science,http://www.sciencedirect.com
IEEE Transactions on Geoscience and Remote Sensing,http://ieeexplore.ieee.org
Photogrammetric Engineering and Remote Sensing,American Society of Photogrammetry and Remote Sensing,http://www.asprs.org/publications/pers/index.html
International Journal of Remote Sensing,Taylor and Francis,http://www.informaworld.com

Planned Learning Activities and Teaching Methods

Students will prepare a project proposal. She/He will discuss what the problem is, what the project input is, which method will be used for the solution of the project, and what impact will the project deliver after its completion. Students are expected to write the project s report and present it orally.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRS PRESENTATION
2 PAR PARTICIPATION
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRS * 0.40 + PAR * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRS * 0.40 + PAR * 0.10 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

- Project report
- Oral presentation

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 3 42
Preparing assignments 1 40 40
Preparing presentations 1 40 40
TOTAL WORKLOAD (hours) 164

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.132223345233
LO.223534434243
LO.352344534443
LO.422425534443
LO.554335333443
LO.643335335335