| Instructor | Roger Peng |
| Meeting Time | Tuesday, Thursday 8:30-9:50am |
| Room | W4013 |
| Office hours | Please just send me an email (rpeng AT jhsph.edu) to setup a meeting time or drop by my office (E3535) |
| TA | Samara Kiihl (E3035) |
Overview
This course covers programming and other computer skills required for the research and application of statistical methods. The focus will be on programming in the R language; we will cover the basic language elements and methods for software development in R. We will also cover computing topics such as LaTeX, coding best practices, version control, copyright law, graphics, and Unix.Textbook and Reading
Chambers, JM (2008). Software for Data Analysis: Programming with R, Springer. [Amazon]
Homework
There will be roughly bi-weekly homeworks consisting of both reading and programming tasks. Programming problems are required to be completed using the R and C languages.
Grading and Exams
Grading will be based on homeworks and a final exam.
Prerequisites
Students should have a basic familiarity and interest in computers and should have completed the equivalent of an introductory statistics sequence.