Sport

In computer science, the term „sport“ does not have a specific technical definition. However, it may refer to:

1. **Gamification**: Integrating elements of sports within digital platforms can enhance user engagement, motivation, and participation. This can include leaderboards, achievements, or challenges that mimic competitive sports environments.

2. **Sports Analytics**: The use of statistical methods and computational tools to analyze data related to sports performance, player statistics, and game strategies. This area heavily relies on data science and machine learning techniques.

3. **Simulation Games**: Refers to software that models sports activities, allowing users to engage in virtual representations of athletic competition. This includes sports video games which simulate play and strategy.

In these contexts, „sport“ relates to how computer science can intersect with athletic performance, gameplay mechanics, and audience engagement, thus bridging technology with physical activities.