A challenging task of statistical analysis is to identify hidden patterns in heterogeneous data and to understand/explain part of them using statistical models. Latent variable mixture models provide a natural framework for studying heterogeneity by classifying individuals into unobserved or latent groupings/classes with more homogeneous patterns.

We will cover a variety of basic and advanced EEG and ERP methods, including experimental design, data processing and data analysis. There will be opportunities for hands-on data collection. Individual projects will focus on writing ERP proposals, processing and analyzing existing data sets and developing approaches to solve problems in ERP design and analysis.

What are the major political forces that shaped our world? Why is the world so unequal? How are powerful groups in society able to maintain their position? While human inequality has often been explained in terms of a natural order, in social scientific terms inequality can be understood as a condition related to historical processes and access to political power. In this class we will examine the theories, evidence and debates concerning human inequality on a global scale as well as its perpetuation.

Application of economic theory and quantitative analysis to the managerial decision-making process. Topics include: cost and production economics, demand analysis, business forecasting, investment project evaluation, and pricing and promotional strategies.

Not available at this time

This graduate level course will revisit and build on the foundations of professional scenic design practice such as dramaturgical and visual research, flexibility of methods and solutions in pursuit of a vision in support of a performance event, creative problem solving, model building, drafting, budgeting, and collaboration skills though actual production assignments in the department. Assignments will be determined by the needs and competence of the individual student. Special attention to portfolio development.