This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: Syllabus for Statistics 133: Concepts in Computing with Data, University of California, Berkeley, Fall 2010 M/W/F 1-2 pm Lecture, 60 Evans M 9-10 (101 Lab), 10-11 (102 Lab), or 11-12 (103 Lab), 342 Evans Instructor: Dr. Cari Kaufman Office: 315 Evans Hall Office Hours: W and Th, 2-3 pm e-mail: firstname.lastname@example.org GSI: Nathan Boley Office Hours: TBA email: email@example.com About This Course This course will introduce you to a variety of programs and technologies that are useful for organizing, manipulating, analyzing, and visualizing data. Well begin with an overview of the R language, covering a base of programming skills in an environment tailored to statistical tasks. Then well move on to other useful tools, including working with regular expressions, basic UNIX tools, XML, and SQL. Along the way, well also cover some modern statistical techniques that have been made possible by recent advances in computing power. Be aware that this is a time consuming, upper-division course. Much of your learning will be by doing, taking the time outside of lectures to experiment with what we have discussed, and to do the assignments. Textbooks and Other Resources There is no required textbook for this course. If you would like a slightly slower paced and more detailed introduction to the...
View Full Document
- Fall '10