COURSE UNIT TITLE

: TRANSPORTATION AND SPATIAL INFORMATION

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 6007 TRANSPORTATION AND SPATIAL INFORMATION ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR KEMAL MERT ÇUBUKÇU

Offered to

Geographical Information Systems (Non-Thesis) (English)
GEOGRAPHICAL INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHIC INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM) (ENGLISH)

Course Objective

The main objective of this course is to introduce the students to the fundamental knowledge about network analysis. The course focuses on cereating and analyzing network datasets. Data organization and hands-on applications are included in the course.

Learning Outcomes of the Course Unit

1   Understand the basic concepts of network datasets and network analysis
2   Learn how to create network datasets with attributes
3   Learn how to perform network analysis
4   Use network analysis to solve urban problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Mathematics of networks
2 The theoretical basis for network analysis in GIS
3 Basic network algorithms
4 Data structures for Networks
5 How to create a network
6 Introduction to Network Analysis
7 Mid-term Examination
8 Network Analysis Measures: Reach
9 Network Analysis Measures: Gravity
10 Network Analysis Measures: Betwenness
11 Network Analysis Measures: Closeness
12 Network Analysis Measures: Straightness
13 Transportation network problems
14 Transportation network problems

Recomended or Required Reading

Newman, M.E.J. (2010) Networks: An Introduction. New York: Oxford University Press.
Sevtsuk A., Mekonnen, M. (2011) Urban Network Analysis: A Toolbox for ArcGIS 10, Singapore University of Technology & Design in collaboration with MIT.

Planned Learning Activities and Teaching Methods

Lectures, theoretical presentations, solved examples and hands-on exercises.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE MTE * 0.50 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

One mid-term examination and one final examination.

Language of Instruction

English

Course Policies and Rules

1. Attendance is required.
2. Plagiarism and all other means of cheating are strictly prohibited.

Contact Details for the Lecturer(s)

Dokuz Eylul University, Tinaztepe Campus
School of Architecture
Department of City and Regional Planning
Room #109
Buca/IZMIR 35160
TURKEY
mert.cubukcu@deu.edu.tr
http://kisi.deu.edu.tr/mert.cubukcu

Office Hours

Thursdays, 10:30-12:30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation for final examination 1 35 35
Preparation before/after weekly lectures 13 6 78
Preparation for mid-term examination 1 30 30
Final Examination 1 3 3
Mid-term Examination 1 3 3
TOTAL WORKLOAD (hours) 188

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.14
LO.25
LO.34233
LO.45334

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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