Ireland

This course introduces the foundational and applied concepts of probability and statistical modelling for data science in engineering. Strong emphasis is placed on using the material covered to solve engineering problems, with a focus on the R statistical computing software. The main sections of the course are descriptive statistics; laws of probability; random variables; statistical inference; simple linear regression; and statistical methods for quality control. In addition, students are required to complete a sequence of computer laboratory sessions using the R software package. Students learn to perform exploratory data analyses using graphical and numerical descriptive statistics, calculate probabilities and simulate from common probability distributions, calculate confidence intervals and perform hypothesis tests, and fit linear regression models.

This course critically examines the archaeology of Ireland during the high medieval period from c.1100 until the second half of the 14th century. The background to the coming of the Anglo-Normans to Ireland in 1169 and the impact they had on the landscape are discussed in depth in the first part of the course. Themes for this section of the course include the role of castles, the manorial economy, trade, the foundation of villages, rural boroughs, and towns by mostly English immigrants and the growth of certain cities. Dispersed settlement in Anglo-Norman parts of eastern Ireland are also explored. In particular, in the first part of the course, the interplay between castle, town, and countryside in Anglo-Norman Ireland is examined in detail.

This course covers approaches to understanding perception and cognition, from the perspective that these functions can only be considered sensibly in an action context. Consideration is given to exemplars drawn from various areas of psychology that serve to illustrate the role of movement in aspects of perception and cognition regarded traditionally as being independent of the means of effect. The course deals with observations defined at the level of behavior. It also includes evidence drawn from the neurosciences - concerning brain activity subserving perception, cognition, and motor function that bears upon these issues. In addition, consideration is given to some of the related philosophical questions that are raised. Students are also introduced to the possibility that intervention strategies thus informed, may be used to maintain or enhance cognitive performance.