290140 VU Introduction into Statistical Data Analysis in Geography (2016W)
(auch für Lehramtsstudierende im Diplomstudium)
Continuous assessment of course work
Labels
Details
max. 70 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
05.10.
08:00 - 10:30
Hörsaal 4C Geographie NIG 4.OG C0409
Thursday
13.10.
08:00 - 11:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
20.10.
08:00 - 11:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Wednesday
09.11.
08:00 - 10:30
Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday
16.11.
09:00 - 12:00
PC-Raum 1 Schenkenstraße 8-10, 1.UG
Thursday
24.11.
08:00 - 11:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Wednesday
30.11.
08:00 - 10:30
Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday
07.12.
09:00 - 12:00
PC-Raum 1 Schenkenstraße 8-10, 1.UG
Thursday
15.12.
08:00 - 11:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Wednesday
11.01.
08:00 - 10:30
Hörsaal 4C Geographie NIG 4.OG C0409
Thursday
19.01.
08:00 - 11:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday
26.01.
08:00 - 11:00
Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Tuesday
31.01.
18:00 - 20:30
Hörsaal 4C Geographie NIG 4.OG C0409
Wednesday
08.02.
17:30 - 19:30
Hörsaal I NIG Erdgeschoß
Monday
27.03.
17:30 - 19:30
Hörsaal 5A Geographie NIG 5.OG A0518
Information
Aims, contents and method of the course
Assessment and permitted materials
Home exercises (1/3) and final exam (2/3); the final exam includes open questions and interpretations and multiple choice questions.
Minimum requirements and assessment criteria
Main targets of the course are the mediation of basic statistical concepts and analytical tools, the acquirement of practical knowledge in handling the statistical program SPSS, the exercising of the translation of empirical questions into statistical analyses and the training of the interpretation of results.
Examination topics
The course will take place partly in classroom NIG (theoretical part), partly in the computer training classroom (practical exercises and tutorials). A detailed plan with all dates is available the billboard next to my room.
Attendance is compulsory for the theoretical and exercise part.
All analytical work steps and procedures will be exercised jointly at the computer with real regional and survey data from Austria. A detailed manual will be provided to support individual pacing of learning processes.
Students will have to do exercises in statistical analysis and interpretation on their own related to each of the four thematical blocs. Two tutors will provide help. Excercises will be corrected and problems and results will be discussed jointly.
Attendance is compulsory for the theoretical and exercise part.
All analytical work steps and procedures will be exercised jointly at the computer with real regional and survey data from Austria. A detailed manual will be provided to support individual pacing of learning processes.
Students will have to do exercises in statistical analysis and interpretation on their own related to each of the four thematical blocs. Two tutors will provide help. Excercises will be corrected and problems and results will be discussed jointly.
Reading list
Für die Lehrveranstaltung wird ein eigenes Skriptum zur Verfügung gestellt.
Aufhauser, Elisabeth und Gerald Röhrling (2011): Einführung in die statistische Datenanalyse für Lehramtssstudierende. Materialien zur Lehrveranstaltung. 263 Seiten. Wien: Institut für Geographie und Regionalforschung, Universität Wien.
Aufhauser, Elisabeth und Gerald Röhrling (2011): Einführung in die statistische Datenanalyse für Lehramtssstudierende. Materialien zur Lehrveranstaltung. 263 Seiten. Wien: Institut für Geographie und Regionalforschung, Universität Wien.
Association in the course directory
(B11-6.5) (L1-d3) (UF MA GW 02)
Last modified: Fr 31.08.2018 08:56
(1) regional statistics and indices;
(2) statistical analysis of regional variations, correlations and dynamics,
(3) statistical analysis of metric survey data,
(4) statistical analysis of categorical survey data.
Registration via UNIVIS-online.