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CE_23C | Tue, 8/11/2015, 8:30 AM - 5:00 PM | S-Grand Ballroom B | |
Software Engineering for Statisticians (ADDED FEE) — Professional Development Continuing Education Course | |||
ASA , Section on Bayesian Statistical Science | |||
Statisticians are increasingly being employed alongside software engineers to make sense of the large amounts of data collected in modern e-commerce, Internet, retail, and advertising companies. This course introduces a number of best practices in writing statistical software taught to computer scientists, but which is seldom part of a statistics degree. Revision control tools, unit testing, code modularity, structure, readability, and the basics of computer architecture and performance will be covered. A few examples of real R code written in a commercial environment will be shared and discussed to illustrate some of the problems of moving from working alone or in a small group in an academic setting into a team in a large commercial setting (the course is mostly language agnostic, but R will be used in some examples). | |||
Instructor(s): Murray Stokely, Google |
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
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