| 09:30 | 1. Welcome and Q&A | What are we going to learn today? |
| 10:00 | 2. Functional Programming |
What is functional programming?
What is recursion? How does functional programming manipulate data? |
| 11:00 | 3. Functional Programming in Python |
How do we express the MapReduce model in a more Pythonic way?
How can we make our data processing more memory efficient? |
| 12:30 | 4. Lunch | |
| 13:30 | 5. Q&A Session | Any content questions or problems? |
| 14:00 | 6. Scientific Programming with NumPy |
What is NumPy and what can I use it for?
What are the differences between NumPy arrays and Python lists? How do I extract subsets of data from a dataset? How can I use NumPy to tell me basic statistical properties about my data? |
| 15:20 | 7. Scientific Visualisation with Matplotlib |
How can I visualise my data?
What is Matplotlib and what can I use it for? |
| 16:30 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.