2019-2020 Catalog

DS 287 Introduction to Data Modeling

This course will examine advance methods for analyzing data. Topics will include experimental design concepts, one- and two-way ANOVA (and interaction), multiple regression and ANCOVA, analysis of categorical outcomes (including logistic regression), and power. Time permitting, additional topics may be covered. the course emphasizes the correct application and interpretation of these methods, including assessment of underlying assumptions. Applications will require use of statistical software (presumably R), which is left to the discretion of the instructor.

Prerequisite

MATH 186 or MATH 286 or MATH 336 or PSYC 120

Instructor

Gaugler