Upcoming Seminar:
Title: What Data Mining Teaches Me About Teaching Statistics
Speaker:
Richard De Veaux,
Department of Mathematics and Statistics, Williams College
Abstract:
Data mining has been defined as a process that uses a variety of data analysis and modeling
techniques to discover patterns and relationships in data that may be used to make accurate
predictions and decision. Statistical inference concerns the same problems. Are the two
really different? Through a series of case studies, we will try to illuminate some of the
challenges and characteristics of data mining. Each case study reminds us that the important
issues are often the ones that transcend the methodological choice one faces when solving
real world problems. What lessons can these teach us about teaching the introductory course?
Time: Thursday, November 19, 2009, 4:00-5:00pm
Location: Funger Hall, Room 620 (2201 G Street, NW, Washington, DC 20052)
Directions
Foggy Bottom-GWU Metro Stop on the Orange and Blue Lines.
The campus map is at http://www.gwu.edu/~map. |
