Sport

In computer science, „Sport“ does not correspond to a widely recognized technical term or concept. However, it can refer to various contexts depending on its use:

1. **Data Analytics**: In the realm of data science and analytics, „sport“ might refer to datasets involving sports statistics, player performance analysis, and game outcomes. This involves collecting, processing, and analyzing data related to sporting events.

2. **Game Development**: In the context of game development, „sport“ can refer to the genre of sports simulation games that replicate real-world sports through interactive gameplay.

3. **Artificial Intelligence**: In AI, „sport“ could pertain to machine learning models that predict outcomes of sporting events, or analyze player behaviors and strategies.

4. **Gamer communities**: „E-sports“ is often used to describe competitive gaming, which might involve computer science elements like game design, network systems, and user interface development.

In summary, while „sport“ itself is not a technical term in CS, it intersects with various fields within the discipline, primarily focused on data analysis, game development, and AI applications in the context of competitive activities.