Advanced Data Analytics (IAA)
IAA 621 Statistical Computing 3
Statistical methods requiring significant computing or specialized software. Simulation, randomization, bootstrap, Monte Carlo techniques; numerical optimization. Extensive computer programming involved. This course does not cover the use of statistical software packages.
IAA 622 Complex Data Analysis 3
Methods for modeling and understanding complex data. Topics include linear regression models for sparse and high dimensional data sets, nonlinear models, tree-based methods, and clustering methods.
Prerequisites: Permission of instructor.
Notes: Same as STA 622.
IAA 623 Categorical Data Analysis 3
Methods for analyzing dichotomous, multinomial and ordinal responses. Measures of association; inference for proportions and contingency tables; generalized linear models including logistic regression and loglinear models.
Prerequisites: STA 662 or permission of instructor.
IAA 689 Capstone Project in Advanced Data Analytics 3
Capstone course. Students work with local industries and nonprofit organizations to solve important data science problems under the supervision of a mentor.