Probability and Statistics
COURSE DESCRIPTION 
This course is an introduction to statistical thinking and concepts, beginning with basic probability theory. The course concludes with selected statistical methods useful for data exploration and description of vectorvalued data, a common setup in modern data analysis applications. Python and/or R will be used for practical implementation of all numerical and graphical procedures, including simulations. Prerequisites Calculus and Introductory Analysis (optimizing functions of several variables, series, integrals of realvalued functions) and Linear Algebra (matrix algebra, inverses). 
COURSE GOALS 
On completion of the course, students will:

COURSE CONTENTS 
Bibliography
Support Sessions 2 hours a week with a teaching assistant Grading Two midterm exams (25% each), homework (20%) and a final project (30%) 