PhD General Courses
GSBGEN 640. Multivariate Data Analysis
This course covers various topics in multivariate analysis that have wide application in the behavioral and management sciences. Topics include principal components and factor analysis, multidimensional scaling, clustering, canonical correlation and structural equations models with latent variables, MANOVA, multiple discriminant analysis, and multinomial choice models. The course stresses the theoretical development and the practical application of each technique. Students will learn to apply the methods using SAS and interpret the results of their analyses. Not taught in 2009-10.
GSBGEN 641. Advanced Empirical Methods
This course covers various advanced quantitative methods with applications in marketing and economics. Topics include simulation-based estimation, dynamic decision processes, and other topics relating to empirical models of demand and supply. The course stresses the conceptual understanding and application of each technique. Students will learn to apply these techniques using Matlab or an equivalent language.
GSBGEN 645. Communication Strategies for Scholars
Educators must be experts in their subject matter, but also effective scholarly communicators. This course will examine the theories for effective communication in the wide range of settings that PhDs will encounter: seminars, academic conferences, job talks, and ultimately in the classroom. This course will provide PhD candidates with the opportunity to practice course principles in simulated communication settings and receive direct and video-taped feedback on their performance.
GSBGEN 646. Behavioral Decision Making
This seminar examines research on the psychology of judgment and choice. Although the normative issue of how decisions should be made is relevant, the descriptive issue of how decisions are made is the main focus of the course. Topics of discussion include choice, judgment heuristics and biases, decision framing, prospect theory, mental accounting, context effects, task effects, regret, and other topics. The goal of the seminar is twofold: to foster a critical appreciation of existing knowledge in behavioral decision theory, to develop the students' skills in identifying and testing interesting research ideas, and to explore research opportunities for adding to that knowledge.