Computational Data Analysis
Data analysis, exploration, and representation. Scientific modeling and computation. Data mining for large datasets, algebraic decomposition methods, stochastic simulation for temporal models of dynamic processes, graphical and network data, computational methods development. Problems and data drawn from DSS research projects. Prerequisites: STA360 and some computer programming expertise. One course.