COURSE UNIT TITLE

: GEOGRAPHICAL INFORMATION SYSTEMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 5049 GEOGRAPHICAL INFORMATION SYSTEMS ELECTIVE 3 0 0 8

Offered By

Management Information Systems

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ÇIĞDEM TARHAN

Offered to

Management Information Systems

Course Objective

It is aimed to be gained skills about data collection in the field, the internet portal implementation and interoperability of spatial phases of the decision-making processes, the integration of spatial information and spatial information to provide the most appropriate use of the on-cycle to gain competence.

Learning Outcomes of the Course Unit

1   To understand data types of spatial information system.
2   To perform data management in spatial information system.
3   To use different analysis and query methods in spatial information system.
4   To model spatial information.
5   To evaluate projects in terms of methodology, tools and tecnological.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction - Space and spatial data / information subjects Haining, Section A
2 What is spatial information system- Meta data usage, sharing and mamagement Haining, Section B
3 Map Projection, Coordinates and 3D models Lyod, Section 2.5
4 Spatial database management system (logic in data relational database management and data normalization) Lyod, Section 2.3
5 Spatial data representation and organization Lyod, Section 2.10
6 Analysis of spatial and attribute data Haining, Section C
7 Query of spatial and attribute data Haining, Section C and Lyod, Section 2.11
8 Mid-Term
9 Visualtization of big digital - spatial data, presentation, sharing and management over internet. Scharl and Klaus, Section 2
10 Sematic web technology, ontology, internet minig, decison making, service based archtitecture Scharl and Klaus, Section 6
11 Spatial data standardization
12 Remote Sensing of spatial data I Cambell and Wynne, Section 4
13 Remote Sensing of spatial data II Cambell and Wynne, Section 5
14 Project Presentation

Recomended or Required Reading

Spatial Data Analysis - Theory and Practice (2003) Robert Haining (Printed in: University of Cambridge), ISBN: 0 521 77437 3

Spatial Data Anaylsis - An Introduction for GIS Users (2010) Chistopher D. Lyod (Printed in: Oxford University Press), ISBN: 978 0 19 955432 4

The Geospatial Web- How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society (2007) Arno Scharl ve Klaus Tochtermann (Printed in: Spinger), ISBN: 978 1 84628 826 5

Introduction to Remote Sensing (2011) James B. Cambell ve Randolph H. Wynne (Printed in USA) ISBN: 978 1 609918 176 5

Planned Learning Activities and Teaching Methods

Events are in "Assessment Methods" and "Workload Calculation" section detaily.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.20 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.20 + RST* 0.50


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

Further Notes About Assessment Methods

1. The students are able to perform and report a project in the course
2. The students are able to present their projects.

Assessment Criteria

There will be a midterm and a final exam for this course. Additionally, the students have a responsibility for preparing and presenting a project.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dokuz Eylül Üniversitesi - I.I.B.F. Yönetim Bilişim Sistemleri Bölümü - Dokuzçeşmeler Kampüsü - Buca - IZMIR 35160
Tel: 0 232 301 07 62
e-mail: cigdem.tarhan@deu.edu.tr

Office Hours

Wednesday 09.00 am - 12.00 am

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 14 5 70
Preparation for midterm exam 1 12 12
Preparation for final exam 1 20 20
Preparing presentations 1 10 10
Preparing assignments 2 20 40
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 197

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.155535554555
LO.255545555555
LO.355555554555
LO.455555554555
LO.555555554555

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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