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 7069 GEOGRAPHICAL INFORMATION SYSTEMS ELECTIVE 3 0 0 8

Offered By

MANAGEMENT INFORMATION SYSTEM NON-THESIS (EVENING)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR VAHAP TECIM

Offered to

MANAGEMENT INFORMATION SYSTEM NON-THESIS (EVENING)

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 Presentations

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

Successful / Unsuccessful


*** 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 2 10 20
Preparing assignments 2 20 40
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 207

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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