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290140 VU Introduction into Statistical Data Analysis in Geography (2016W)

(auch für Lehramtsstudierende im Diplomstudium)

4.00 ECTS (2.00 SWS), SPL 29 - Geographie

Continuous assessment of course work

Moodle

Details

max. 70 participants

Language: German

Lecturers

Gerald Röhrling

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

The course is designed as an introduction into statistical data analysis and organised in four thematical blocs:
(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.

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.

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.

Association in the course directory

(B11-6.5) (L1-d3) (UF MA GW 02)

Last modified: Fr 31.08.2018 08:56