Lectures

1. Data Science in the Singapore landscape
2. AI and society
3. How to beocme a data scientist
4. A brief history of data science in biology
5. Experimental design and confounders
6. Graphs
7. Databases and logic
8. Network theory and biology
9. Simple ways of evaluating machine learning algorithms
10. A few examples of machine learning algorithms
11. How statistics goes wrong in data science 1
12. How statistics goes wrong in data science 2