Unser Lehrportfolio an der TUM
Wintersemester
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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Introduction to R for Data Science is a Master's course that equips students with core data science skills such as data wrangling, data analysis, and programming techniques.
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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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Models in the Study of Human Behavior is a Master's course that discusses the utility and limitations of formal modeling approaches in the study of human behavior.
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Quantitative Research Proposals: Developing an Empirical Research Project is a Master's course that enables students to write a high-quality Master thesis based on the analysis of quantitative data, covering theoretical topics such as characteristics of a good research question and scientific writing style(s) as well as practical topics such as what tools can be used.
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Sommersemester
Introduction to R for Data Science is a Master's course that equips students with core data science skills such as data wrangling, data analysis, and programming techniques.
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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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Replicability, Robustness, and Reproducibility in Behavioral Research is a Master's course that discusses the history and causes of the replication crisis as well as recent developments and proposals towards more reliable, robust, and transparent sciences.
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Process Tracing is a Master's course that provides knowledge about process-tracing methods to investigate cognitive and affective processes (e.g., in judgment and decision making) and how these methods are applied to understand cognition and behavior.
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PhD Kurse
Bayesian Data Analysis and Cognitive Modeling is a PhD course that introduces Bayesian statistics as a tool for analysing data and estimating parameters of cognitive models using statistical software.
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