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Cursus: GEO4-3636
GEO4-3636
Quantitative Urban & Economic Analytics
Cursus informatie
CursuscodeGEO4-3636
Studiepunten (ECTS)7,5
Categorie / NiveauM (Master)
CursustypeCursorisch onderwijs
VoertaalEngels
Aangeboden doorFaculteit Geowetenschappen; Graduate School Geowetenschappen; M Human Geography and Planning (research);
Contactpersoondr. D.F. Ettema
Telefoon+31 30 2532918
E-maild.f.ettema@uu.nl
Docenten
Docent
dr. P.M.A. Balland
Overige cursussen docent
Docent
dr. G.S. Bolt
Overige cursussen docent
Docent
dr. J.S. Crespo Cepas
Overige cursussen docent
Docent
dr. D.F. Ettema
Overige cursussen docent
Contactpersoon van de cursus
dr. D.F. Ettema
Overige cursussen docent
Blok
1  (05-09-2016 t/m 13-11-2016)
Aanvangsblok
1
TimeslotA: MA-ochtend, DI-namiddag, WO-ochtend
Onderwijsvorm
Voltijd
Opmerking

Cursusrooster

Cursusinschrijving geopendvanaf 30-05-2016 08:00 t/m 26-06-2016 23:59
AanmeldingsprocedureOsiris
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersNee
VoorinschrijvingNee
Na-inschrijvingJa
Na-inschrijving geopendvanaf 22-08-2016 08:00 t/m 23-08-2016 23:59
WachtlijstNee
PlaatsingsprocedureStudiepunt/Student desk
Cursusdoelen
  1. Students will be familiarized with a series of quantitative techniques that allow them to do quantitative data analyses such that these analyses may serve as a base for scientific publication. Students will learn about the theoretical backgrounds of these methods as well as learn how to carry out the analyses on existing data using state-of-the-art software packages.
  2. Students will learn how to apply advanced quantitative methods as part of a study design, with the broader aim of answering a specific research question.
Inhoud
The course will consist of a series of lectures on specific techniques, followed a few days later by a computer practical where the techniques are practiced on a given data set. The techniques addressed in this course include:
  • Linear regression
  • Logistic regression and ordered logit models
  • Multi-level analysis
  • Factor analysis
  • Cluster analysis
  • Network analysis
The last two weeks of the course, students will  work on a loosely structured assignment, in which they answer a research question based on a given data set. The assignment includes choice of the appropriate technique(s), the appropriate variables, interpretation of the results and reporting all this in a working paper. Results will be presented  in a seminar, where feedback is given by peers and supervisor.
Competenties
-
Ingangseisen
Je moet voldoen aan de volgende eisen
  • Ingeschreven voor een opleiding van de faculteit Faculteit Geowetenschappen
  • Ingeschreven voor één van de volgende opleidingen
    • Urban and Economic Geography
  • Ingeschreven voor een andere opleiding dan
    • Cursist Geowetenschappen
Voorkennis
Descriptive statistics (frequency distributions, measures of central tendency and dispersion, cross tabulation), and deductive statistics (t-test, chi-square test, ANOVA, linear regression, correlation analysis).
Voorkennis kan worden opgedaan met
Self-study of descriptive statistics, and deductive statistics (t-test, chi-square test, ANOVA, linear regression, correlation analysis)
Bronnen van zelfstudie
Field, A. (2009), Discovering Statistics Using SPSS, Sage, Los Angeles. Chapters 2, 3, 4, 6, 7.1-7.4., 9, 10
Verplicht materiaal
Boek
Field, A. (2009), Discovering Statistics Using SPSS, Sage, Los Angeles. Chapters 7, 8, 17, 19. Norusis (Chapter 16) cluster analysis Hanneman and Riddle (2005) Network analysis
Studiewijzer
-
Werkvormen
Lecture

Algemeen
Quantitative analytical techniques will be taught in lectures, followed by computer tutorials. In the last 4 weeks, students work on a free assignment, aimed at independently carrying out a quantitative study on a given dataset. Three seminars are planned in which students present and discuss intermediate and final products and receive feedback.

Voorbereiding bijeenkomsten
Students prepare for lectures by reading the relevant chapters from the study materials.

Seminar

Voorbereiding bijeenkomsten
For the seminars, students prepare short presentations of their research projects.

Tutorial

Bijdrage aan groepswerk
Students work in small groups (2-3) on the final assignment. Each student will contribute to formulation of research questions, choice of analytical techniques, analysis using SPSS or another statistical package, interpretation of results and reporting.

Toetsen
Eindresultaat
Weging100
Minimum cijfer-

Beoordeling
• Written exam (50%)
• Group assignment (50%)

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