New Course in Fall: Advanced Statistics for Language Research

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LING 459 (Topics in Linguistics): Advanced Statistics for Language Research
W 15:00-17:30PM
Instructor: Dr. Gyu-Ho Shin
This course offers students the opportunity to (i) learn advanced statistical methods and (ii) apply them to their own research projects. Topics include regression, structural equation modelling, mixed-effects modelling, and Bayesian statistics, along with reviewing relevant research articles (subject to change). Students will work with R—a widely used programming language for statistics—within the RStudio environment for their projects and data analysis assignments. In addition, they are expected to design a research proposal with a focus on statistical modelling.
Prerequisite(s): LING 360 or consent of the instructor.
Recommended background: Credit in at least one 200-level LING course.