Topics and pre-requisites vary by semester and section. May be repeated for credit as topics change. Topic for Spring 2022: Advanced Topics in Quantitative Methods. Provides students who already have a strong foundation in statistical analysis as well as basic skills in R with an overview of a range of advanced techniques and topics, including: Praat functions in R, Generalized Additive Models, multinomial regression, principal components analysis, frequentist vs. Bayesian statistics, cluster analysis, Poisson regression, discriminant analysis, power analysis, stepwise model selection, multilevel interactions, and dynamic visualization. Also explores strategies for streamlining workflow, increasing efficiency and reducing time from data import to communication of results.