Universität Wien

290105 VO Introduction into Statistical Data Analysis in Geography I (2009W)

1.00 ECTS (1.00 SWS), SPL 29 - Geographie

Details

Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 08.10. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 15.10. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 22.10. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 29.10. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 05.11. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 12.11. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 19.11. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 26.11. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 03.12. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 10.12. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 17.12. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 07.01. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 14.01. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 21.01. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409
  • Thursday 28.01. 13:00 - 14:00 Hörsaal 4C Geographie NIG 4.OG C0409

Information

Aims, contents and method of the course

The goal of this course is for students to learn quantitative and comparative analysis techniques applied in geographic research. Main objectives are methods and concepts of uni- and bivariate data analysis. Rather than require prior expertise in methods and statistics, the course will impart the necessary skills in the process of carrying out actual analyses of real data sets. Students will learn how to design a research project, formulate testable hypotheses and analyze variables, design and interpret tables, apply statistical and comparative techniques to test hypotheses, and assess the advantages and limitations inherent to positivistic research strategies of the kind carried out in this course.

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:42