After successful completion of the course, students are able to (1) design experiments and analyze the resulting data; (2) carry out supervised and unsupervised statistical analysis of categorical data (survival function estimation, Cox proportional hazard regression) using the R programming language.
COURSE OUTLINE
I. Design of Experiments
Categorical Data: An Introduction to Categorical Data Analysis , Second Edition by Agresti (available online at the TU Library)
Continuous assessment via oral examination and regular homework tasks throughout the semester.
Probability and statistics at the level of Applied Mathematical Statistics; Calculus and Linear Algebra.