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GMS Statistics Programme 2019

Content for the GMS Statistics Course

Content for each section of the course is in the relevant folder:

Students please read the README in the relevant folder before each section of the course. In particular, please try to install any computing requirements beforehand. As a basic minimum you are likely to need:

  1. Anaconda3 (for python3 notebooks)
  2. RStudio

Specific modules will also require specific packages or other software to be installed - these are detailed in the README files in each folder, and/or will be communicated by teachers beforehand.

Mailing list

For questions on the course content, help with installing needed software, or stats questions in general, please email:

gms [dash] stats [at] well [dot] ox [dot] ac [dot] uk

Emails to this address get sent to all the students and all the teachers on the GMS Statistics course, and we'll do our best to provide helpful answers.

Course Timetable 2019

When What Teacher Where
28/10/2019 Introduction to Statistics Day 1 J.P.W Room B
29/10/2019 (morning) Introduction to Statistics Day 2 J.P.W CCMP2
29/10/2019 (afternoon) Statistical Modelling I - introduction G.B CCMP2
04/11/2019 (morning) Introduction to Bayesian Analysis A.P Room B
04/11/2019 (afternoon) Statistical Modelling I - introduction G.B Room B
05/11/2019 Introduction to Bayesian Analysis A.P Room B
12/11/2019 Introduction to Genome-wide association studies N.R, T.F Room B
15/11/2019 Statistical modelling II - sampling A.A Room A
27/11/2019 Statistical Analysis of Genome-wide data D.C Room B
28/11/2019 Statistical Analysis of Genome-wide data D.C Room B
03/12/2019 Machine Learning Applications G.L Room B
05/12/2019 Machine Learning Applications G.L Room B
06/12/2019 (morning) Statistical Modelling III - Hidden Markov Models V.I Room B
06/12/2019 (afternoon) Wrap-up session Room B

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  • Jupyter Notebook 96.7%
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