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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS GIS 5038 ADVANCED TOPICS IN REMOTE SENSING ELECTIVE 2 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ATILLA HÜSNÜ ERONAT

Offered to

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

Course Objective

This course will be subject oriented. The main objective of the course is to give further training to the students whoever already had background knowledge to complete remote sensing projects related to their specific needs.

Learning Outcomes of the Course Unit

1   Remote Sensing of the Environment 2   Corrections Applied to Remotely Sensed Images 3   Atmospheric Corrections 4   Geometric Corrections 5   Remote Sensing of Water Resources 6   Coastal Pollution and Water Quality Measurements 7   GIS and Decision Making 8   Discuss and evaluate Remote Sensing assignments

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Review of Principles of Remote Sensing (GIS 5037) 2 Review of Principles of Remote Sensing (GIS 5037) 3 Review of Principles of Remote Sensing (GIS 5037) 4 Topics on Remote Sensing of the Environment 5 Topics on Remote Sensing of the Environment 6 Corrections Applied to Remotely Sensed Images 7 Atmospheric Corrections 8 Geometric Corrections 9 Remote Sensing of Water Resources 10 Coastal Pollution and Water Quality Measurements 11 Term Paper Evaluation 12 GIS and Decision Making 13 GIS and Decision Making 14 GIS and Decision Making

Recomended or Required Reading

ERDAS Field Guide, ERDAS IMAGINE . Idrisi User s Guide, Lillisand and Kiefer, Remote Sensing and Image Interpretation,

Planned Learning Activities and Teaching Methods

Remote Sensing Presentation concerning students main interest Computer application on classification

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FCG FINAL COURSE GRADE MTE * 0.50 + ASG * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

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 2 28 Preparations before/after weekly lectures 14 4 56 Preparation for quiz etc. 1 40 40 Preparation for final exam 1 30 30 Reading 10 3 30 Final 1 3 3 Quiz etc. 1 1 1 TOTAL WORKLOAD (hours) 188

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 LO.1 3 4 5 5 4 4 4 4 4 4 3 LO.2 4 3 5 3 3 4 4 3 4 4 3 LO.3 3 4 3 5 4 3 5 4 3 3 5 LO.4 4 5 5 3 5 4 3 4 4 5 3 LO.5 3 3 5 5 3 5 5 5 5 4 3 LO.6 5 4 4 4 5 4 5 4 3 4 5 LO.7 5 4 4 5 5 4 5 5 5 5 3 LO.8 3 5 3 5 3 5 3 5 4 4 3