350182 UE BA2II - Computer Science in Sports and Statistics (2022S)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 07.02.2022 09:00 to Th 24.02.2022 12:00
- Registration is open from Tu 01.03.2022 09:00 to Mo 07.03.2022 12:00
- Deregistration possible until Th 31.03.2022 12:00
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)
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 points1 = 90-100 points
2 = 80-89 points
3 = 65-79 points
4 = 50-64 points
5 = 0-49 points
- Exercise 1: Spreadsheet = 20 points
- Exercise 2: Databases = 15 points
- Exercise 3: Statistics = 35 points
- Final test = 30 points1 = 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.
- 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