Syllabus

Title
2375 Kurs IV: Transforming Cities and Regions
Instructors
Sonja Fessler, MSc (WU), Linda Li, PhD
Type
PI
Weekly hours
3
Language of instruction
Englisch
Registration
09/07/26 to 09/26/26
Registration via LPIS
Notes to the course
This class is only offered in winter semesters.
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Wednesday 10/07/26 10:00 AM - 01:00 PM D4.0.133
Wednesday 10/14/26 10:00 AM - 01:00 PM D5.1.002
Wednesday 10/21/26 10:15 AM - 01:15 PM D3.0.222
Wednesday 10/28/26 10:00 AM - 01:00 PM D5.1.002
Wednesday 11/11/26 10:00 AM - 01:00 PM EA.5.030
Wednesday 11/18/26 10:00 AM - 01:00 PM TC.4.14
Wednesday 11/25/26 10:00 AM - 01:00 PM EA.5.030
Wednesday 12/02/26 10:00 AM - 01:00 PM TC.4.16
Wednesday 12/09/26 10:00 AM - 01:00 PM TC.4.16
Wednesday 12/16/26 10:00 AM - 01:00 PM EA.5.044
Wednesday 01/13/27 10:00 AM - 01:00 PM TC.3.06
Wednesday 01/20/27 10:00 AM - 01:00 PM TC.3.07
Contents

This course critically engages with topics on transforming cities and regions and provides the methodological tools to visualize and analyze spatial data. The course will show how changing historical-economic contexts such as globalization, theoretical developments in the fields of urban and regional economics and economic geography, as well as empirical analyses and results have influenced spatial policies.

A key feature of this course is the translation of theoretical concepts and ideas into empirical research. Students will learn and perform applied spatial analysis! The course will introduce students to publicly available spatial data from different sources, as well as software tools (R, GeoDa, GIS, etc.) for obtaining and manipulating spatial boundary (map) files. Furthermore, students will be taught to independently apply various techniques (e.g. cluster mapping, spatial econometrics) to empirically investigate topics on transforming cities and regions (transport, inequality, etc.).

Learning outcomes

- Understand the relevance of a spatial approach to social sciences
- Evaluate the strengths and weaknesses of various methodologies
- Present and discuss relevant data sources and papers
- Understand the uniqueness of spatial data
- Learn about and work with publicly available geospatial data
- Learn and apply spatial methodological tools to visualize, identify, and explain spatial patterns and processes

Attendance requirements

Attendance is mandatory: All classes in continuous assessment (PI) courses must be attended. Students must attend at least 9 of the 12 sessions, including mandatory presence during the first and final unit. Absences should be communicated in advance. Documentation (such as a doctor's note) will be required. However, missing more than three classes (with an excuse) or more than one class (without an excuse) will result in failure of the course. Absences due to work commitments are not considered valid reasons for missing classes.

Teaching/learning method(s)

The course includes lectures, discussions, student presentations, and exercises in data handling and applied spatial analysis in R and GeoDa. Students are required to bring their own laptops to every class.

Assessment

In order to pass the course, students are expected to attend and participate in all lectures and seminars. The total grade will consist of

- 30% Readings and presentations
- 10% Participation in class (e.g. in discussions and seminars)

Empirical group work
- 5% Research Proposal I: one-paragraph summary of idea and research question
- 5% Research Proposal II: two-page summary (including topic, literature, data, method, sources)
- 10% Final Report Presentation
- 40% Research Report

Grading:

pointsgrade
≥87.5excellent
75.0 - <87.5good
62.5 - <75.0satisfactory
50.0 - <62.5sufficient
<50fail

 

There is NO EXAM for this module. Instead, there are a number of assessed components, including participation in discussions, brief summaries of readings, presentations, a final group presentation, and a group research report.

Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Unit details
Unit Date Contents
1 7.10.

Introduction and Organization 

2 14.10.

Introduction to R and Spatial Concepts (Data, Centrality, etc.)

3 21.10.

Spatial Visualization and Methods in R

4 28.10.

Visualization in GeoDa and Segregation Indices

5 11.11.

First Project Presentation

6 18.11.

Introduction to Econometrics 

7 25.11.

Spatial Econometric Models

8 2.12.

Additional Models in Choice Modeling

9 9.12.

Project Feedback Session

10 16.12.

Causality in Spatial Methods

11 13.01.

Project Feedback Session

12 20.01.

Final Project Presentations

Last edited: 2026-09-14



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