These are some notes I wrote during my Maths & CS degree, and so may be varyingly useful or correct.
The summary sheets were a (sadly ?) shortlived part of examinations post-covid, as we could take 2 sides of A4 into the exam, which meant you could focus on learning/problem solving instead of memorisation. I’ve also linked to the original lecture notes written by the various professors, but since I don’t have permission to share them, they are private links for me only.
| Course | Term | My Notes | Summary sheet | Lecture Notes |
|---|---|---|---|---|
| Prelims Probability | MT19 | Lecture notes | ||
| Part A Probability | MT20 | Lecture notes | ||
| Continuous Maths | HT20 | Summary | Lecture notes | |
| Integration | HT21 | My notes | ||
| Functional Analysis I | MT21 | My notes | Summary | Lecture notes |
| Probability, Measure and Martingales | MT21 | My notes | Handwritten and Latex | Lecture notes |
| Machine Learning | MT21 | My notes | Folder | |
| Functional Analysis II | HT22 | Summary | Lecture notes | |
| Applied Probability | HT22 | Summary | Lecture notes | |
| Information Theory | HT22 | Summary | Lecture notes | |
| Further Functional Analysis | MT22 | Lecture notes | ||
| Algorithmic Foundations of Learning | MT22 | My notes | Lecture notes | |
| Computational Learning Theory | MT22 | My notes | Lecture notes | |
| Probability and Computing | MT22 | My notes | Lecture notes | |
| Advanced Topics in Statistical Machine Learning | HT23 | My notes | Lecture notes |