I teach undergraduate and graduate modules in statistics. A list of modules I'm teaching this academic year is given below.
I also supervise undergraduate- and taught graduate-level final year research projects. If you are a Maths and Stats student on our BSc, MMath or MSc programmes, then lists of suggested project titles will be circulated to you. I'll happily consider supervising a project of your suggestion — drop me a line if you have an idea you wish to discuss. In addition, I'm happy to supervise summer undergraduate research projects by well qualified students — again, contact me about this.
Lastly, I am one of the Adviser of Studies for subhonours students intending to read Mathematics and/or Statistics as their main degree subject. If I'm your Adviser then please feel free to come see me anytime, although it's best to make an appointment first, by emailing me.
Semester 1 (Martinmas) modules
- MT4113 Computing in Statistics (co-taught with Dr. Eric Rexstad).
The goal of this module is to teach good programming practice and computing techniques useful to statisticians. The module gives students general programming skills that should be useful in any future computing tasks, and also specific skills using the statistical language and environment R. Assessment is through a series of programming assignments and a final exam.
Semester 2 (Candlemas) modules
- MT5758 Applied Multivariate Analysis (co-taught with Dr. Valentin Popov).
This module teaches practical methods for obtaining inference from multivariate data - i.e., data with more than one random variable. Example datasets include questionnaires, weather, financial, genetic, social and biological. The emphasis throughout is on identification of useful patters, while guarding against false inferences. Assessment is through a project, where students analyze a multivariate dataset they have discovered, and through a final exam.
Our research group, CREEM, organizes training workshops on various aspects of statistics and statistical ecology, aimed at academics, students and professional wildlife biologists and conservation scientists. Most of the workshops are taught in our purpose-built classroom in St Andrews, although we also organize courses worldwide on occasion. I have co-taught over 40 workshops to more than 800 people on distance sampling, estimating animal population density from passive acoustics, and statistical modelling.