| Course: | STAT 37810 |
| Title: | Statistical Computing A |
| Instructor(s): | Kendra Burbank |
| Course Assistant(s): | Yuefeng Han |
| Class Schedule: | Sec 01: TR 9:30 AM–10:50 AM (first half of quarter) in Stuart 101 |
| Office Hours: | |
| Textbook(s): | |
| Description: | This course is an introduction to statistical programming in R. Students will learn how to design, write, debug and test functions by implementing several famous algorithms in statistics such as Gibbs Sampling and Expectation Maximization. A basic familiarity with R is needed, but no prior programming experience is required. The course will also introduce students to the use of version control with Git and consider the differences and similarities between R and Python. Prerequisite(s): Instructor Consent. |