Sport

In the context of computer science, „Sport“ does not have a standardized definition as it pertains specifically to coding, algorithms, or system design. However, it can relate to various applications within the field, such as:

1. **Data Analysis and Visualization**: The study of sports statistics, performance metrics, and trends through data analysis techniques, often utilizing programming languages like Python or R.

2. **Game Development**: The creation of sports-themed video games that simulate real-world sports, requiring knowledge of graphics, physics, and gameplay mechanics in programming.

3. **Software Applications**: Development of applications or platforms dedicated to managing sports events, player statistics, team coordination, or fan engagement.

In broader terms, „Sport“ generally refers to physical activities involving competition and skill, which can intersect with computer science through technology-enhanced sports analytics, digital game design, or user interactivity in applications.