- Recognizing AI
- Interdisciplinarity
- Understanding intelligence
- General vs. narrow
- AI’s strengths & weaknesses
- Representations
- Decision-making
- ML steps
- Human role in AI
- Programmability Data literacy
- Learning from data
- Critically interpreting data
- Ethics
