English

This course draws from a range of theoretical, clinical, and methodological approaches to explore several key topics: the origin of the drive to pursue and persevere; the theory behind decision-making and the control over our choices; the prospect and challenges of change; the part psychology plays in our habits, the choice of partners, in our professional careers; the origins of power, narcissism, altruism, grit, and risk-taking. The course analyzes and discusses both the scholarly ramifications of these ideas and also how to understand them in our lives and society more broadly. This course examines the unconscious patterns that drive human behavior and our choices. Through reading the text, books and articles, through lectures, discussions, class presentations, debates, case studies, multimedia, and a field trip, students study how psychology impacts most aspects of who they are and what choices they make. The prerequisite for this course is an introductory psychology course.

This course examines Aboriginal and Torres Strait Islander peoples through time. It explores the historical, cultural institutional and political relationships between Indigenous and non-Indigenous Australians, in the past and how these continue in the present. Topics include Indigenous resistance and activism, constitutional recognition, kinship, racism in sport, Indigenous astronomy, sovereignty, First Nations literature, and criminology and incarceration. 

The course discusses probability, distribution theory, and statistical inference. It covers mathematical statistics as important discrete and continuous probability distributions (such as the Binomial, Poisson, Uniform, Exponential, and Normal distributions) and investigates properties of these distributions, including use of the moment generating function. The course discusses point estimation techniques including method of moments, maximum likelihood, and least squares estimation. Statistical hypothesis testing and confidence interval construction follow, along with non-parametric and goodness-of-fit tests and contingency tables. A treatment of linear regression models, featuring the interpretation of computer-generated regression output and implications for prediction are also covered.