COURSE UNIT TITLE

: GEOGRAPHICAL INFORMATION SYSTEMS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 7309 GEOGRAPHICAL INFORMATION SYSTEMS ELECTIVE 3 0 0 6

Offered By

Management Information Systems Non-Thesis (Evening)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems 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 - What is Data Management and Analysis
2 Storage of Spatial Data in Database Management Systems (Spatial Data Servers - Tables Where Data Are Stored - Methods of Storing Spatial Data)
3 Spatial Data Server Software (Arcsde - ArcSpatial Database Engine) and Spatial data query language operators (basic operator: IsEmpty, Envelope; topological operator: Disjoint, Contains and spatial analysis operator: Distance, Intersection and SymmDiff)
4 Presentation of Spatial Data (object-based modeling - space-based modelling)
5 Spatial Data Geometry (Spaghetti model, network model and topological model)
6 Logical Models and Query Languages
7 Constraint data model (linear constraint model, object-oriented modeling)
8 Numerical Geometry (spatial data management algorithm)
9 Spatial data presentation sharing and management over internet.
10 Query and Analysis I (Spatial aggregation, complex query, artificial intelligence)
11 Query and Analysis II (spatial point distribution analysis, interpolation and spatial statistics)
12 Spatial data indexes (R-tree, B-tree)
13 Spatial data indexes (Grid)
14 Econometric approaches in spatial data management

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 FCG FINAL COURSE GRADE
3 FCGR FINAL COURSE GRADE MTE * 0.40 + FCG* 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST* 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Students' performances are measured with a midterm exam and a final exam.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department apply.

Contact Details for the Lecturer(s)

Prof.Dr. Vahap TECIM
vahap.tecim@deu.edu.tr

Office Hours

It will 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 6 84
Preparation for midterm exam 1 10 10
Preparation for final exam 1 12 12
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.155555555555
LO.255555555555
LO.355555555555
LO.455555555555
LO.555555555555