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Here are links to the pages for each course for which resources exist, along with brief descriptions of the course.

• PSYCH401: Analysis and Interpretation of Data I: A service course for masters level psychologists. This is given in the Michaelmas term to all masters psychologists, and addresses fundamental concepts in data analysis. This course focusses on linear modelling, and attempts to prepare students undertaking it for AID402 in which they will learn about mixed modelling and other topics in data analysis. Requirements are for little more than basic numeracy.
• PSYCH402: Analysis and Interpretation of Data II: A continuation of PSYCH401 this course looks at mixed models amongst other things.
• CFAS416: Bayesian Methods: This is one of the Centre for Applied Statistics short courses introducing students, and external participants, to this rapidly developing area of statistical science. It is given in Lent Term, and occurs over a two day period. On the first day the topics include probability, conditional probability, Bayes' Theorum for discrete events, and Bayesian inference for parameters for distributions with conjugate priors. The second day is concerned with machine methods and MCMC. During the day participants will use R to conduct random walk based MCMC with some graphical tools, and will go onto the use of BUGS, with particular emphasis on OpenBUGS. Basic numeracy and algebra is assumed, and some understanding of the hypothesis testing paradigm is desirable.
• CFAS422: R: This is another Centre for Applied Statistics short courses. This course is given towards the end of Michaelmas Term, and comprises a two day course on R:. During the two days participants will be introduced to R as a programming language, with the focus being firmly on the programming aspects of R. Using R to produce graphics, conduct calculations, perform tests will be covered, as will using R's extensive modelling capabilities. Knowledge of the statistical background is assumed for most topics as this is a programming course, and not a statistics course.
• CFAS490: Masters in Applied Social Statistics Dissertations: All M.Sc. students in Applied Social Statistics have to complete, and submit, a substantial piece of written coursework. It is expected that this piece of coursework will take the form of a dissertation based upon their own research. This page has links to relevant documentation and guidence.
• CFAS433: Evidence Evaluation: This course was new for 2009, and was first run as a Master Class. Now it has become a part of the normal cycle of Centre for Applied Statistics short courses. The course is an introducion to the statistical evaluation of evidence, and is aimed at reporting officers, forensic scientists, and the more numerate lawyers. Fundamental topics of probability, Bayes' theorum and likelihood ratios are covered on the first day. The second day is used to examine specific forms of forensic science such as DNA and multivariate trace evidence ans Bayesian networks.
• CFAS404: Mathematics for Statistics: This course takes place during the first week of Michaelmas Term in the Postgraduate Statistics Centre, and is a basic course in mathematics given to students whose backgrounds may be in the social scientists.