COURSE UNIT TITLE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR KEMAL MERT ÇUBUKÇU

Offered to

M.Sc. City and Regional Planning
City and Regional Planning
City and Regional Planning (Non-Thesis)

Course Objective

The main objective of this course is to introduce the classical and modern methods in urban pattern analysis and spatial simplifying. The course outline includes real data collection and hands-on spatial analysis using geographic information systems and network analysis. The results from the analyses are assessed with respect to the urban planning literature. Based on the results obtained, urban planning problems are to be discussed.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Kostof SK (1991). The City Shaped: Urban Patterns and Meanings Through History. London: Thames and Hudson.
Kansky K (1963) Structure of transportation networks: Relationships between network geography and regional characteristics. Research Paper, Department of Geography No. 84., University of Chicago, Chicago.
Hansen WG (1959) How Accessibility shapes land use. Journal of the American Institute of Planners 25(2): 73 76.
Sevtsuk A and Mekonnen M (2012). Urban network analysis. A new toolbox for ArcGIS. Revue Internationale de Géomatique 22(2): 287 305.
Gallion AB and Eisner S (1950) The Urban Pattern: City Planning and Design. New York: D. Van Nostrand Co., Inc.

Planned Learning Activities and Teaching Methods

Lectures, theoretical presentations, data mining and collection, data analysis, discussing results.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

One midterm and one final examination. The examinations can be conducted in presentation formaat followed by a Q&A session.

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)

mert.cubukcu@deu.edu.tr

Office Hours

Fridays 13:30-14:30

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes