This page contains some of the teaching resources I developed.

**Statistics Department, University of Oxford.**

- Prelims Statistics lectures on Unsupervised Learning (2016-2017)
- I developed this course to double the amount of Statistics taught to 1st year Maths/Stats students at Oxford.

- Part B Foundations of Statistical Inference (BS2a) (2012-2013)
- this was an existing course for 3rd year Maths/Stats students on statistical theory. I amended the syllabus to include material on the EM algorithm and Variational Bayes and approximations to marginal likelihood : Laplace approximation and BIC.

- Mods Probability II (2008-2011)
- this was the second half of the 1st year course on Probability.

- Part A Statistical Programming (2010-2011)
- I developed this course to introduce statistical computing (using R) to undergraduate Maths&Stats students in the their 2nd year (previously it took until the 3rd year before they had any exposure to statistical computing.

- Introduction to Probability and Statistics (2002-2008)
- this course was taken by 1st year students in Psychology and Human Sciences.

- Graduate lecture on Variational Bayes (2011)
- Graduate lecture on Missing Data (2016) + Practical

**Outside Oxford**

For 10 years I was one of the course instructors on a Wellcome Trust Advanced Course on genetic association studies.

**Oxford Mathematics Students Options Map**

- This ‘map’ was constructed from the course handbooks for the 2016-17 year on the Oxford Maths website
- I used to recommend that students
**use this as a guide**when choosing courses, and to understand where those choices might lead, due to dependencies between courses. Students found it very helpful. The course handbooks give more detail on each course, but the overall structure of the degree is easier to see via this map. It is likely now out of date, although it will still give a good idea of the main structure of the courses on offer.