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PhD Ed. Neuroscience: PHDM710-Advanced Quantitative Research Methods

Course Description

The Advanced Quantitative Research Methods course exposes students to advanced quantitative research techniques. It also enables students to develop skills in designing and conducting advanced quantitative research; and supports the development of students’ own advanced quantitative research programs. Specifically, using a combination of formal lectures, in-class activities, practical sessions with analysis tools on datasets, this course provides an in-depth introduction to different sophisticated and powerful advanced quantitative research techniques: neural networks, clustering, classification, dimensionality reduction, data mining, multivariate analysis, Bayesian inferences, computational modelling, structural equation modelling (SEM), and dynamic causal modelling (DCM). Students will acquire deep knowledge of what can (or cannot) be done with these advanced quantitative methods, with practical examples from cognitive neuroscience and education.

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