This course aims to provide students with a solid foundation of statistical concepts, theory, and methods including probability theory, statistical estimation and inference methods, and multivariate statistics. It also aims to provide students with a rigorous introduction to the theory and implementation of statistical models such as linear models, generalized linear models, and nonparametric models. Emphasis will be placed on rigorous mathematical derivations, understanding of the fundamentals of statistics but implementation of the statistical methods via computer programming in R or Matlab will be an important part of the course as well.

Continuous Assessment: 75%

Examination: 25%

Examination Duration: 3 hours