JSM 2004 - Toronto

Abstract #300339

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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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 - #300339
Title: Teaching Statistical Computing at NC State
Author(s): John Monahan*+
Companies: North Carolina State University
Address: , Raleigh, NC, 27695-8203,
Keywords: statistical computing ; graduate curriculum
Abstract:

The diverse topics that make up present a challenge for constructing the appropriate courses in statistics curricula. An undergraduate course covering programming and data management prepares students for most statistics courses. However, many graduate students successfully learn these skills on their own; moreover, squeezing such a skills course into the master's program is difficult. We teach most of the topical statistical software in the courses that use them. For doctoral students, the issue becomes one of requirements and electives: some computing topics should be covered in the required courses, others left to an elective. The selection and placement of these topics depend of the research program of the department. Even for an elective course, the research needs drive the choice of topics, although experience has shown that there can be no substitute for a good foundation in arithmetic and numerical linear algebra.

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Revised March 2004