Sport

In computer science (CS), the term „sport“ does not have a specific definition or meaning directly associated with the field. However, it may refer to various contexts where computer science intersects with sports, such as:

1. **Sports Analytics**: The use of data analysis and algorithms to evaluate and improve player performance, team strategy, and fan engagement in sports.

2. **Simulations and Gaming**: The development of video games and simulations that replicate sports, requiring programming skills, graphics design, and user interaction.

3. **Tracking Technologies**: The use of sensors and IoT devices in sports to gather data on player movements, performance metrics, and health monitoring.

4. **Community and Collaboration Platforms**: Online platforms or software that facilitate the organization, management, and sharing of sports-related activities, events, and information.

While „sport“ itself may not be a core term in CS, its applications in technology and programming highlight the growing relationship between computer science and athletic pursuits.