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