Course material


Course material for 2016/2017

Part A

Part B

  • SB1a Applied Statistics - Dr Laws
    SB1a Applied Statistics - Dr Rogers
  • SB1b Computational Statistics - Professor Caron
  • SB1b Computational Statistics - Dr Rogers
  • SB1 Practicals letter 2016/2017 [PDF]
  • Declaration of Authorship [PDF]
  • Link to University guidance on plagiarism
  • Actuarial Exemptions notice [PDF]
  • SB2a Foundations of Statistical Inference
  • SB2b Statistical Machine Learning - link updated 23/1/17
  • SB3a Applied Probability
  • SB3b Statistical Lifetime Models
  • SB4a Actuarial Science I
  • SB4b Actuarial Science II

Part C

  • SC1 Stochastic Models in Mathematical Genetics
  • SC2 Probability and Statistics for Network Analysis - available via Weblearn
  • SC4 Data Mining and Machine Learning
  • SC5 Advanced Simulation Methods
  • SC6 Graphical Models
  • SC7 Bayes Methods
  • Part C project information

  • Link to course material from the Mathematical Institute