Current offerings

Descriptions are available at the Departmental website. This year, I will be teaching into the following papers:

• Applied Statistics (Stat210)
• Bayesian Data Analysis (Stat371/423)
• Advanced Methods in Marine Science (Mari401)

Past papers

Numerous papers have been offered in previous years at University of New England and University of Otago, including the following:

Postgraduate offerings

• Bayesian Statistics (Otago Stat443)

  A course that introduces the Bayesian approach to statistical inference. A theoretical basis is developed while computational issues are addressed using Monte Carlo Markov chain methods.

• Advanced Computational Statistics (Otago Stat432)

  Modern computational methods have revolutionised statistics. In this paper, I taught bootstrap techniques, smoothing methods, optimisation, fitting algorithms for GLMs and non-linear regression, and simulation techniques such as Markov chain Monte Carlo.

• Survival Analysis (UNE Stat501; Otago Stat436)

  Survival analysis is one of the most important topics in biostatistics, but is also commonly used in industrial statistics and other areas. In addition to theory and applications of survival analysis (both parametric and non-parametric), students will also learn computational aspects. This includes using established R packages, but also writing their own survival functions.

Undergraduate offerings

@University of Otago (see website for descriptions)

• Statistical Methods (Stat110)
• Introduction to Biostatistics (Stat115)
• Regression and Modelling 1 (Stat241)
• Design of Research Studies (Stat251)
• Design of Research Studies (Stat311)
• Statistical Computing (Stat380)

@University of New England

• Introductory Statistics (UNE Stat100)
• Statistical Inference (UNE Stat270/470)
• Statistical Learning (UNE Stat330/430)