COURSE UNIT TITLE

: SPATIAL DATA MANAGEMENT AND ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 7030 SPATIAL DATA MANAGEMENT AND ANALYSIS ELECTIVE 3 0 0 7

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

The course is aimed to be gained competence in spatial-based data collection, management and analysis.

Learning Outcomes of the Course Unit

1   To use spatial data collection methods.
2   To perform spatial data management.
3   To use spatial data analysis methods.
4   To use spatial data query methods.
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 managemet and analysis Yeung and Hall, Section2.2
2 Data Storage in Spatial Database Management Systems (Spatial Data Servers - Data Stored Statements - Spatial Data Storage Methods) Yeung and Hall, Sections 2.3 & 2.4
3 Spatial Data Server Software (Arcs - Arc Spatial Database Engine) and spatial data query language operators (basic operator: IsEmpty, Envelope, topological operator: Disjoint, Contains, and spatial analysis operations: Distance, Intersection and SymmDiff) Rigaux, School and Voisard, Section 2
4 Spatial Data Representation (object-oriented modeling - space-based modeling), and Spatial Data Geometry (Spaghetti model, network model and topological model) Rigaux, Scholl and Voisard, Section 2
5 Logical Models and Query Languages Rigaux, Scholl and Voisard, Section 3
6 Constraint data model (linear constraint model, the object-oriented modeling) Rigaux, Scholl and Voisard, Section 4
7 Digital Geometry (spatial data management algorithm) Rigaux, Scholl and Voisard, Section 5
8 Query and Analysis I (spatial join, artifical intelligence) Rigaux, Scholl and Voisard, Section 7
9 Query and Analysis II (analysis of the spatial distribution of points, interpolation and spatial statistics) Rigaux, Scholl and Voisard, Section 7
10 Mid Term
11 Spatial Data Indexes (R-tree, B-tree) Bivand, Pebesma and Rubio, Section 2
12 Spatial Data Indexes(Grid) Bivand, Pebesma and Rubio, Section 2
13 Econometric approaches to spatial data management Bivand, Pebesma and Rubio, Section 10
14 Project Presentation

Recomended or Required Reading

Spatial Databases with Application to GIS (2002) Philippe Rigaux, Michel Scholl ve Anges Voisard, Elsevier, ISBN: 978 1 55860 588 6

Spatial Database Systems Design, Implematation and Project Management (2007) Albert K.W. Yeung ve G. Brent Hall (Printed in: Springer), ISBN: 10 1 4020 5393 2

Applied Spatial Data Analysis with R (2008) Roger S. Bivand, Edzer J. Pebesma ve Virgilio Gomez-Rubio, ISBN: 978 0 387 78170 9

Planned Learning Activities and Teaching Methods

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

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 * 0.20 + STT * 0.30 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.30 + RST* 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Mid-term exam and final exam grades, and homework/presentation are effective.

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 13 5 65
Preparation for final exam 1 15 15
Preparation for midterm exam 1 15 15
Preparing presentations 1 15 15
Preparing assignments 1 15 15
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 170

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

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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