Universität Wien

350248 UE BA2II - Computer Science in Sports and Statistics (2025W)

2.00 ECTS (2.00 SWS), SPL 35 - Sportwissenschaft
Continuous assessment of course work
Moodle
Tu 09.12. 08:00-09:30 ZSU - USZ II, EDV Raum, 2. Stock

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 14.10. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 21.10. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 28.10. 08:00 - 09:30 Digital
  • Tuesday 04.11. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 11.11. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 18.11. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 25.11. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 02.12. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 16.12. 08:00 - 09:30 Digital
  • Tuesday 13.01. 08:00 - 09:30 Digital
  • Tuesday 20.01. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock
  • Tuesday 27.01. 08:00 - 09:30 ZSU - USZ II, EDV Raum, 2. Stock

Information

Aims, contents and method of the course

Objectives:
The aim of this course is to develop fundamental skills in structured data processing and analysis, with a particular focus on applications in sports science. Students will learn to:

- systematically collect, organize, and structure data,
- understand and practically apply basic concepts of relational databases,
- use core principles and functions of spreadsheet software,
- prepare and analyze sport-related datasets in a targeted and context-appropriate way.

Content:
The course covers two main thematic areas:

- Relational databases (using MS Access): Introduction to fundamental structures, processes, and applications related to relational data systems.
- Spreadsheets (using MS Excel): Introduction to a wide range of methods for data processing, analysis, and presentation using standard tools and functions.

The first topic (Access) forms only a minor part of the course, while the main focus is placed on working with spreadsheets (Excel).

Methodology:
Each session consists of an introductory demonstration section, where key concepts and software functionalities are presented, followed by a practical part, in which students independently apply the content through hands-on tasks. The course is strongly practice-oriented. Assessment is based on the continuous completion of tasks and two practical tests (Access & Excel) – see below.

Assessment and permitted materials

Assessment is based on the continuous completion of practical tasks, which are to be carried out both during the course sessions and as homework. In addition, there are two practical computer-based tests – one in Microsoft Access and one in Microsoft Excel.

For both tests, all personal materials (e.g. notes, handouts, printed documents) as well as internet searches are permitted. However, the use of AI-based tools (e.g. ChatGPT, Copilot, etc.) is not allowed if used for directly solving or automating the assigned tasks.

In accordance with university regulations, all course work for continuous assessment courses must generally be completed by April 30 (for winter semester courses) or by September 30 (for summer semester courses).
In exceptional cases, these deadlines may be extended with prior approval by the course instructor. Final grades must be entered into the system no later than May 27 (winter semester) or October 27 (summer semester).

Students who are registered for the course but fail to submit any work must still be assessed. If a student fails the course, retaking the course is mandatory – no commission examination is allowed.
Legal basis: University of Vienna Statutes §10 (4, 5, 6).

Please note: if fraudulent academic behavior is detected (e.g. copying, plagiarism, use of unauthorized aids, document falsification, ghostwriting, etc.), the entire course will be considered invalid and will count as an official attempt.
Entry in u:space: “X = not assessed”.

Minimum requirements and assessment criteria

To receive a positive grade in this course, students must achieve at least 50 out of a possible 100 points. The total score is composed of the following components:

- Practical tasks: max. 35 points
- Practical test in MS Access: max. 20 points
- Practical test in MS Excel: max. 45 points

Grades are assigned according to the following scale:

Excellent (1): 100–93 points
Good (2): 92–82 points
Satisfactory (3): 81–66 points
Sufficient (4): 65–50 points
Insufficient (5): 49–0 points

All partial performances are included in the final grade according to their respective weight. A passing grade is only possible if the minimum score is reached. If fewer than 50 points are achieved, the course is graded as failed and must be retaken.

Examination topics

The exam covers all fundamental concepts and methods introduced during the course in the fields of relational databases and spreadsheets, including their practical implementation using Microsoft Access and Microsoft Excel.

Exam content is based on the material presented in the demonstration sections and practiced through course assignments. The tests consist of application-oriented tasks, designed to assess students’ understanding of key principles and their ability to work confidently with digital data processing tools.

Reading list

There is no required textbook. All relevant content is provided during the course through demonstrations, practical assignments, and written or digital supporting materials.
Depending on the topic, additional resources (e.g. online tutorials, handouts, help pages) may be recommended to support independent study and deeper understanding.

Association in the course directory

BA2II

Last modified: Tu 14.10.2025 09:08