Course structure
Our course is structured as follows. A more detailed version can be found on the home page.
| Week | Topic | Lab | CW |
|---|---|---|---|
| 2 | Machine Learning: The Big Picture | LAB | - |
| 3 | K Nearest Neighbours and Decision Trees | LAB | CW1 |
| 4 | Evalation of Machine Learning systems | LAB | CW1 |
| 5 | Neural Networks (Part 1) | LAB | CW1 |
| 6 | Neural Networks (Part 2) | LAB | CW2 |
| 7 | Unsupervised Learning: Clustering & Density Estimation | LAB | CW2 |
| 8 | Evolutionary Algorithms | LAB | CW2 |
The lab sessions will be held on Tuesdays 2-4pm. These will be held on site, with all the labs on Level 2 available for your use (Huxley 202/206/210/219/221/225). The teaching assistants will most likely be lingering in the main labs (Huxley 219/202/206).
The live discussion/Q&A sessions will be held on Thursdays 10-11am. These will be held fully remotely on Microsoft Teams. If you are on campus, Huxley 311 and Huxley Lab 219 are reserved for you to sit in, although no staff will be physically available in person.
Schedule change in Week 3
Antoine is away in the USA in Week 3. To accomodate his schedule, just for this week we have moved the live Q&A to the first hour of the labs on Tuesday (2-3pm). We are also offering an extra hour of lab support that week as a bonus to compensate for the inconvenience. This change in schedule for Week 3 should be reflected on CELCAT.
- Live Q&A: Tuesday (17 Oct) 2-3pm
- Labs: Tuesday (17 Oct) 3-4pm and Thursday (19 Oct) 9-11am