Teaching is by seminars and computer workshops and examinations by written assignments. Design and Analysis is an essential component of many problems in practical statistics. The course is designed to give the student a thorough understanding of how an appropriate design of experiments can enhance the subsequent analysis of data and the inferences that can be made, with an emphasis on medical applications, including clinical trials, epidemiology, and survival analysis. The student is shown how to take a practical design problem, code it mathematically and then determine optimal or robust solutions to the problem. Teaching is by lecture and seminars given in the first two terms.
Examination is by written assignments.
Multivariate Analysis and Time Series are essential components of a postgraduate degree in statistics. They provide the techniques to analyse and monitor large arrays of noisy data, sometimes arriving in a sequence in time. Most data from large-scale experiments and surveys, whether from engineering, economics or biology, tends to be of this type. The study of the theory and practice of statistical methods involving observations of many variables. Special emphasis will be given to two problems.