In both science and industry today, the ability to collect and store data can
outpace our ability to analyze it. Traditional techniques in statistics are often
unable to cope with the size and complexity of today's data bases and data
warehouses. New methodologies in Statistics have recently been developed,
designed to address these inadequacies, emphasizing visualization, exploration
and empirical model building at the expense of traditional hypothesis testing. In
this course we will examine these new techniques and apply them to a variety of
real data sets using Silicon Graphics workstations.
Evaluation will be based primarily on homeworks and projects.
Prerequisites: Statistics 346 or permission of instructor.