JSM 2004 - Toronto

Abstract #300234

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Activity Number: 68
Type: Invited
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: The American Statistician
Abstract - #300234
Title: A Two-pronged Approach to Teaching Computational Statistics
Author(s): David R. Hunter*+
Companies: Pennsylvania State University
Address: Dept. of Statistics, University Park, PA, 16802,
Keywords: computational statistics ; graduate education
Abstract:

Many graduate students in statistics find that mastery of certain topics in statistical computing and/or fluency in programming languages are essential to their research, yet they are typically forced to learn much of this material on their own. The need to better educate graduate students in statistical computing is clear, suggesting that computing courses should be added to the canonical list of requirements for graduate students. Yet it also appears that statistics as a discipline is not ready to replace much of the traditional canon, as exemplified by Penn State University's currently ongoing project of restructuring its graduate curriculum. One solution to this dilemma, which Penn State appears ready to adopt, is a two-pronged approach: find topics in statistical computing that have a natural affinity with subjects already taught, integrate these topics into existing courses, and then design a course in statistical computing that will address important computing topics not covered elsewhere. This talk will discuss potential advantages of this approach as well as specific topics that might be included both in the stand-alone computing course and within other courses.

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Revised March 2004