COURSE UNIT TITLE

: REMOTE SENSING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 3012 REMOTE SENSING ELECTIVE 3 0 0 4

Offered By

Management Information Systems

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR VAHAP TECIM

Offered to

Management Information Systems

Course Objective

The course aims to provide students the ability to analyze, evaluate and obtain new information from spatial images by teaching remotely sensed image data and spatial image processing techniques.

Learning Outcomes of the Course Unit

1   Identifying remotely sensed data types.
2   Choosing appropriate image in different featured remotely sensed data.
3   Determining required techniques for processing the remote sensing data.
4   Analyzing the remote sensing data.
5   Evaluating the obtained information from processed remote sensing data.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Remote Sensing
2 Basic Concepts and Remote Sensing Data Sources
3 Remote Sensing Data Types and Structural Properties
4 Spatial Image Processing Software
5 Spatial Image Processing: Importing and Exporting Data Views
6 Spatial Image Processing: Pre Transactions
7 Spatial Image Processing: Image Enhancement
8 Mid-Term
9 Mid-Term
10 Spatial Image Analysis: Band Arithmetic
11 Spatial Image Analysis: Indexes
12 Spatial Image Analysis: Classification
13 Spatial Image Analysis: Raster - Vector and Vector - Raster Conversion
14 Spatial Image Analysis: Setting Spatial Model for Images

Recomended or Required Reading

Main Textbook: Campbell, J. B. (2002). Introduction to Remote Sensing (Third Edition). New York: Taylor & Francis.

Help book: Russ, J.C. (2011). The Image Processing Handbook (Sixth Edition). USA: Taylor & Francis.
Aranoff, S. (2005). Remote Sensing for GIS Managers. California: ESRI Press.
Girard, M. & Girard, C.M. (2003). Processing of Ramote Sensing Data. India: A.A. Balkema Publishers.

Planned Learning Activities and Teaching Methods

Activities are given in detail in the Assessment Methods and Total Workload sections.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Students will undergo two exams, one mid-term and one final.

Assessment Criteria

Assessment criteria will be announced later.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department are valid.

Contact Details for the Lecturer(s)

Contact details will be announced later.

Office Hours

Office hours will be announced later.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 2 24
Case study 12 2 24
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 99

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1555
LO.255555
LO.3555555555
LO.455555
LO.555555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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