COURSE UNIT TITLE

: URBAN MORPHOLOGY AND QUANTITATIVE METHODS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ELECTIVE

Offered By

City and Regional Planning

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR EMINE DUYGU KAHRAMAN

Offered to

City and Regional Planning
Architecture

Course Objective

This course aims to explain the concept of urban morphology to students,to give information about different morphology schools and urban morphology studies in Turkey, and to show the quantitative methods used in urban morphology studies through
different computer programs. With this course, students are expected to have knowledge about urban morphology and
quantitative methods both in the world and in our country, to gain the ability to use different computer programs and to offer solutions to different problems in the city.

Learning Outcomes of the Course Unit

1   To have knowledge about urban morphology approaches,
2   To have knowledge about the mathematics of urban morphology,
3   To learn quantitative methods used in urban morphology studies,
4   To be able to apply quantitative methods,
5   To have the ability to create solutions to existing problems using quantitative methods with a morphological point of view.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introducing to Urban Morphology
2 Urban Morphology Schools and Different Approaches, Urban Morphology Studies in Turkey
3 Historical Geography-Economic Geography Approaches in Urban Morphology: The Concept of Morphological Region and Fringe Belt Concept, Typological Processes Approach in Urban Morphology
4 Configurational Approach in Urban Morphology: Space Syntax Analysis - DepthmapX Program
5 Configurational Approach in Urban Morphology: Space Syntax Analysis - DepthmapX Program
6 Urban Morphology and Urban Network Analysis - GIS-UNA Toolbox
7 Urban Morphology and Urban Network Analysis - GIS-UNA Toolbox
8 Midterm
9 Analytical Approaches in Urban Morphology: Fractal Geometry, Cellular Automata and Other Methods
10 Analytical Approaches in Urban Morphology: Fractal Geometry, Cellular Automata and Other Methods
11 Urban Morphology and Energy Efficiency
12 Assignment review
13 Assignment submissions and presentations
14 Assignment submissions and presentations
15 Final exams
16 Final exams

Recomended or Required Reading

D'Acci, L. (Ed.). (2019). The Mathematics of Urban Morphology. Springer International Publishing.
Hillier, B., & Hanson, J. (1984). The social logic of space. Cambridge university press.
Sevtsuk, A., & Mekonnen, M. (2012). Urban network analysis. Revue internationale de géomatique n, 287, 305.
Kubat, A. S. (2010). The study of urban form in Turkey. Urban Morphology, 14(1), 31-48.
Moudon, A. V. (1997). Urban morphology as an emerging interdisciplinary field. Urban morphology, 1(1), 3-10.

Planned Learning Activities and Teaching Methods

Conceptual explanations will be made through presentations, and the course will be supported by readings. Quantitative methods will be taught simultaneously with students using related computer programs. Technological tools will be introduced and used.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.30 + FINS * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.30 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

Optional, if the instructor needs to add some explanation or further note, this column can be selected from the DEBIS menu.
Theoretical knowledge is measured by the midterm and final exams. With the homework, the success of the application of quantitative methods and the ability to produce solutions to existing problems will be evaluated.

Language of Instruction

Turkish

Course Policies and Rules

-

Contact Details for the Lecturer(s)

duygu.kahraman@deu.edu.tr +90232-3018472

Office Hours

Thursday 10:30 - 12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 10 2 20
Student Presentations 2 2 4
Preparations before/after weekly lectures 10 1 10
Preparation for midterm exam 1 5 5
Preparation for final exam 1 6 6
Individual homework preperation (CBIKO Talent Gate) 1 6 6
Preparing presentations 10 2 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 75

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17
LO.11
LO.21
LO.31111
LO.41111
LO.5111