Introduction to Models of Human Behavior introduces students to the fundamental principles of computational modelling as a rigorous approach to understanding human behavior and cognition.
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Judgment and Decision Making is a Master's course that reviews central empirical findings in decision research and the key theoretical approaches to analyze, understand, and evaluate decision making.
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Introduction to Bayesian Data Analysis is a Master's course where students learn to learn with the help of Bayesian statistics and a modern scientific data analysis workflow.
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Applied statistics in R is a Master's course in which students learn about advanced statistical techniques (e.g. nonlinear and logistic regression, penalized regression, and time series analysis) for different research questions.
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Introduction to Models of Human Behavior introduces students to the fundamental principles of computational modelling as a rigorous approach to understanding human behavior and cognition.
Learn more on the course page
Empirical Research in Management and Economics is a Master's course that covers the most important aspects of empirical research, including research design, data collection, data analysis, and interpretation.
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