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The aim of this course is to learn about the basic principles of statistical reasoning, the most important methods for estimating unknown parameters of a system and for taking decisions without complete information, and the use of statistical packages. The methods discussed are for visualising data, for simulating random phenomena, for estimating parameters using Maximum Likelihood and Least Squares estimators, and for testing hypotheses. General Linear Models will be studied using R.

Study Level


Offering Terms

Term 1



Delivery Mode

Fully on-site

Indicative contact hours


Course Outline

To access course outline, please visit:


Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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