Office hours: Monday 10:00–12:00 and Friday 2–3:30.

Instructor: Prof. Eugene Demidenko

Prerequisites: Math 40 or by a special permission of the instructor.


Additional reading:

Course Objectives:

  1. Provide theoretical basis for multivariate statistical analysis and optimal statistical hypothesis testing, point and interval estimation.
  2. Learn about modern statistical methods of statistical analysis including nonlinear mod- els, data mining, and classification techniques.
  3. Get experience in statistical solutions of real-life-high-volume problems, including shape and image analysis, using statistical package R.
  4. Preparation for a career in data analysis and statistical problem solutions.
  5. Programming in R is required.