Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

350182 UE BA2II - Computer Science in Sports and Statistics (2022S)

2.00 ECTS (2.00 SWS), SPL 35 - Sportwissenschaft
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 01.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 08.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 15.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 22.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 29.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 05.04. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 26.04. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 03.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 10.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 17.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 24.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 31.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 14.06. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 21.06. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 28.06. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock

Information

Aims, contents and method of the course

The students learn to use office applications (MS Excel/LibreOffice Calc, MS Access/LibreOffice Base) as well as dedicated statistical software (Jamovi) for data processing, visualisation and analysis. Also, knowledge of statistical concepts is deepened by application. After successful completion of the course, students are able to use software to successfully process, visualise and statistically analyse data on their own.

During the course, the students work independently on assignments that are spread over the semester. Each new assignment is preceded by a brief introduction and demonstration of the software to be used. At the end of the course, there will be a final test which will be solved on the computer.

Assessment and permitted materials

Grading is based on the solutions to the assignments which the students have to submit as well as the performance on the final test.
Researching information on the internet and in one's own documents is allowed.

Sie werden ausdrücklich darauf hingewiesen, dass bei Feststellung einer erschlichenen Leistung (z.B.: Abschreiben, Plagiieren, Verwendung unerlaubter Hilfsmittel, Fälschungen, Ghostwriting etc.) die gesamte PI-LV als geschummelt gewertet wird und als Antritt zählt. (Eintrag in U:SPACE: X = nicht beurteilt)

Minimum requirements and assessment criteria

Total: 100 points
- Exercise 1: Spreadsheet = 20 points
- Exercise 2: Databases = 15 points
- Exercise 3: Statistics = 35 points
- Final test = 30 points

1 = 90-100 points
2 = 80-89 points
3 = 65-79 points
4 = 50-64 points
5 = 0-49 points

Examination topics

All content given in the assignments.

Reading list

- Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Los Angeles, CA: Sage.
- Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. Thousand Oaks, CA: Sage.

Association in the course directory

BA2II

Last modified: We 10.08.2022 15:49