Semester: Autumn 2018
Classroom: ECCR 135
Time: MWF 2:00-2:50pm
Instructor: Dr. Vanja Dukic
Instructor office Hours: MW 3-4:20pm, ECOT322
Course Assistant 1: Kirk Van Arkel,
Course Assistant 1's office Hours: Tuesdays 11am-1pm, FLMG 208
Course Assistant 2: Xiao Xiao
Course Assistant 2's office Hours: Tuesdays 2-4pm, ECCR 211
This course provides an introduction to probability and statistical methods.
Part of the objective of this course is to introduce you to data analysis with a help of R. However, you can choose any other statistical software or programming language instead -- like Python, Matlab, or Scala -- as long as you are able to follow the R examples given in class, and convert them to the language of your choice. This course does not assume prior programing knowledge, and you will get familiar with R enough to solve homework problems. Please check our software page on a regular basis for tips.
"Probability and Statistics with R", 2nd Edition, by Ugarte, Militino, and Arnholt.
"Probability and Statistics for Engineering and the Sciences", by J. Devore. (Note: old editions can be used.)