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Teaching & Lecture Notes

Lecture notes

  • Monte Carlo methods (0.5 unit MSc level introductory course) [HTML]

Research level tutorials

  • Peskun's theorem for MCMC (reading group talk) [HTML]

  • Designing MCMC algorithms (reading group talk) [HTML]

Teaching

  • In 2020/21 I am teaching STAT0030 (Statistical Computing, MSc Statistics/Data Science)

  • In 2019/20 I taught STAT0017 (Selected topics in Statistics)​ and STAT0030 (Statistical computing), both at the MSc level. For STAT0017 I taught Monte Carlo methods.

  • In 2018/19 I taught STAT0021 (Introduction to Statistical Methods) groups B and C, and STAT0030 (Statistical computing). 

  • In 2017/2018 I lectured G003/M003 (R programming) and taught tutorials for STAT2003/3102 (Stochastic Processes).

  • In 2015-2017 I taught tutorials in Linear Algebra, Probability and Statistics at University of Bristol. 

  • In 2012-2015 I taught tutorials in Probability and Statistics at UCL.  For STAT1004 (Intro to Probability & Statistics, now STAT0002), here is a handout which explains why we cannot calculate relative risk in a case-control study, but can still calculate an odds ratio. 

  • In 2014 I taught a foundational course on Probability and Statistics for students on the MSc in Risk, Disaster and Resilience at UCL.

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