- Introduces agent-based modeling using platforms like Sugarscape and Schelling’s segregation.
- ML and NLP exercises focus on pattern detection in social networks.
- Tools are beginner-friendly with guided instructions.
- Focuses on understanding applications rather than deep algorithmic theory.
- Prepares learners for further study or research in computational social science.

