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This course provides an introduction to the neuroscience of decision making, in particular the neural principles underlying perceptual as well as reward- and value-based decisions. Perceptual decisions involve choices based on ambiguous sensory evidence whereas reward- and value-based decisions hinge largely on probabilistic evidence and subjective preferences associated with potential choices. In addition, the role of training in perceptual decision making and the influence of reinforcement-learning in reward-based choices are discussed in the context of optimizing decision-related processing. Important methodological considerations on how the relevant neural data are collected and analyzed, including some computational modelling work, are also explored. The course draws mostly on recent research reports from both the human and non-human primate literature to illustrate the brain networks and the fundamental principles underlying decision-related processing and their relevance to interpreting neurophysiological and neuroimaging experiments and to understanding brain function in health and disease.
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The course considers the ways in which history is retold and reimagined through literature in Scotland. Exploring the past 250 years of Scottish literary history it focusses on poetry and prose, and feature historic battles, royal beheadings, corruption and conspiracy, family dramas, playground bullies, and tinpot dictators. It charts this territory by considering both landmark works and less-celebrated texts, though all are concerned one way or another with power and agency. This focus on the currency of stories means confronting the nation's histories and myths - their heroic and patriotic ideals, their accidents and arbitrariness, and their crimes and complicities.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This is an intermediate Microeconomics course with students largely drawn from those wishing to prepare for Honors in Economics. The course builds on the foundation of microeconomics in ECON1001 (Economics 1A) and discusses in more depth the topics of consumer behavior, firm behavior, game theory and decisions under uncertainty. The course includes a series of lectures and tutorials dedicated to mathematics, which builds on the introductory mathematical economics taught in ECON1002 (Economics 1B).
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