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Pfad: VVZ SoSe 2024 > Verzeichnis der LV gegliedert nach Instituten und Abteilungen

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Nr. LV-Typ(en) LV-Titel
4375 PI Specialization Course - Applied Economic Geography and Case Studies Präsenz-Modus
Anmeldung über LPIS
vom 16.02.2024 14:00 bis 23.02.2024 23:59
Abmeldung über LPIS
vom 16.02.2024 14:00 bis 02.03.2024 23:59

LV-Leiter/in Linda Li, BA, MSc (WU), Univ.Prof. Dr. Jürgen Essletzbichler
Planpunkte Bachelor Spezialisierungslehrveranstaltung - Angewandte Wirtschaftsgeographie und Fallstudien
Course II - Urban and Regional Economics
Semesterstunden 4
Unterrichtssprache Englisch

Termine
Di, 05.03.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Fr, 08.03.2024 10:00-13:00 Uhr TC.-1.61 (Lageplan)
Di, 12.03.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Fr, 15.03.2024 10:00-13:00 Uhr LC.-1.038 (Lageplan)
Di, 19.03.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Fr, 22.03.2024 10:00-13:00 Uhr LC.2.064 PC Raum (Lageplan)
Di, 09.04.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Fr, 12.04.2024 11:00-14:00 Uhr TC.-1.61 (Lageplan)
Di, 16.04.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Di, 23.04.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Di, 30.04.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Di, 14.05.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Fr, 17.05.2024 10:00-13:00 Uhr LC.2.064 PC Raum (Lageplan)
Di, 21.05.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Di, 11.06.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Di, 18.06.2024 12:00-15:00 Uhr TC.3.10 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/4375

Kontakt:
juergen.essletzbichler@wu.ac.at; linda.li@wu.ac.at
Inhalte der LV:

This course critically engages with theories of uneven spatial development and provides the methodological tools to visualize and explain the evolution of the European space economy. The course will show how changing historical-economic contexts such as globalization, theoretical developments in the field of urban and regional economics and economic geography as well as empirical analysis and results have influenced EU spatial policy moving from policies to promote regional economic convergence and catch up of peripheral regions to those based on smart specialization strategies.

One of the key features of this course is the translation of theoretical concepts and ideas into empirical research. Students will learn and do applied spatial analysis! The seminars will introduce publicly available spatial data from EUROSTAT, Cambridge Econometrics and other sources, as well as basic GIS tools to obtain and manipulate spatial boundary (map) files. Moreover, students will be taught to independently apply various techniques (e.g. cluster mapping, spatial econometrics) to empirically examine aspects of regional economic development in the European Union.

Lernergebnisse (Learning Outcomes):
• To understand the relevance of a spatial approach to economics
• To evaluate the strength and weaknesses of different theoretical approaches
• To write response papers to academic papers
• To use response papers to sharpen your arguments during class discussions
• To use theory to develop and identify a geographic research problem
• To understand the distinctiveness of spatial data
• To learn about and work with publicly available spatial data
• To learn about and apply spatial methodological tools to visualize, identify and explain spatial patterns and processes of economic change
• To find out more about the EU spatial economic and social policies
• To understand the concept of SMART specialization as regional development tool

Regelung zur Anwesenheit:

Compulsory attendance

  • Courses with continuous Assessment (PI) must be attended.
     
  • No more than 25% of the duration of the course can be compensated with additional homework in the case of missing because of important reasons. A confirmation (e.g. doctor's certificate) can be requested. It is not possible to pass the course in the case of missing more than 25% of the duration.

Important reasons for missing are defined as those which a student cannot prevent, e.g. falling ill, accident or death of a close relative. Job related reasons for absence cannot be excused.

Lehr-/Lerndesign:

The course is structured in lectures and seminars: There will be lectures  and discussion sessions of students in the lecture units. The seminar units  involve data handling exercises and applied spatial analysis in computer labs.

 

Course Outline:

Date Lecture/Seminar Topic
05.03. L1/L2 Introduction: Globalization and the end of geography? / EU regions in a globalizing world
08.03. S1 Introducing spatial data
12.03. L3/D1 Regional growth theory
15.03. S2 Exploring spatial data
19.03. L4/D2 Polarisation theories
22.03. S3 Looking for statistical relations
09.04. L5/D3 New economic geography
12.04. S4 Spatial regressions
16.04. L6/D4 Endogenous development: Evolution and institutions
23.04. L7/D5 From space-blind to smart development policies
30.04. Feedback Feedback on Research Proposals
14.05. Feedback Feedback on Research Proposals (optional)
17.05. S5 Exercises in empirical research
21.05. Feedback Feedback on Projects (optional)
11.06. P FINAL PRESENTATIONS
18.06. P FINAL PRESENTATIONS

L=Lecture; D=Discussion of Papers; S=Computer seminars; P=Student presentations.

Leistung(en) für eine Beurteilung:

In order to pass the course, students are expected to attend and participate in all lectures and computer practical sessions. The total mark consists of: 

• 25% Five short response papers (10-15 lines, for structure: see below) DUE: Beginning of each class that includes a discussion (D, see course outline), starting with L3/D1, in electronic form (PDF)
• 15% Class participation (e.g. in discussion sessions and seminar)
• 10% One paragraph summary of idea and research question, in electronic form DUE: 28.04.24, online and
           Two page summary of research proposal, in electronic form DUE: 09.05.24, online
• 10% presentation of final report
• 40% Research report, DUE: 01.07.24

Grading:

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

 

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

Teilnahmevoraussetzung(en):

Some basic data handling skills (e.g., in EXCEL) and basic knowledge of quantitative data analysis or econometrics are recommended. If the module is oversubscribed, please contact juergen.essletzbichler@wu.ac.at.

Zuletzt bearbeitet: 13.05.2024 14:25

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