Universität Wien
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350182 UE BA2II - Computer Science in Sports and Statistics (2021S)

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

The course will start in digital form with our first meeting on Tuseday, 2 March from 17:15 - 18:45 (video conference on Moodle). You must be (virtually) present in this meeting!

  • Tuesday 02.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 09.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 16.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 23.03. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 13.04. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 20.04. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 27.04. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 04.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 11.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 18.05. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 01.06. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 08.06. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 15.06. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 22.06. 17:15 - 18:45 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 29.06. 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, MS Access) 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.

There is a short demonstration of the respective software. Afterwards the students work on assignments.

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 = 3 assignments (70 points) + 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

- manuscript of the lecture BA3I - Fundamentals of Statistics
- 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: Th 11.08.2022 00:27