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Activity Number:
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1
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Type:
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Invited
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Date/Time:
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Sunday, August 3, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #300044 |
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Title:
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Computing in the Graduate Curriculum
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Author(s):
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Duncan Temple Lang*+
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Companies:
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University of California, Davis
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Address:
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Department of Statistics, Davis, CA, 95616,
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Keywords:
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Computing ; curriculum ; graduate ; technologies
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Abstract:
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Our graduate students need to be able to work with data from a myriad of sources, in different formats and in large volume. They need to work with code developed by other people. And they routinely need to perform complex and intensive simulation studies. Modern computing, along with more traditional numerically-oriented techniques (e.g., optimization), is fast becoming a key skill in academic and industrial work, yet our curricula have hardly changed during the computer "revolution". Our students need to be mathematically and computationally literate. I will discuss possible topics and syllabi for integrating computing into the Master's and PhD programs, focusing on the different types of students we see in statistics today and prioritizing these topics and relative to other competing statistical topics in our curricula. This dimension should strengthen our discipline.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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