The course covers mathematical foundations of psychology and statistical techniques used in behavioral science, in particular foundations of linear algebra, probability theory, information theory, statistical testing, normal models, and special, frequently used cases of normal models (t-test). The course has three lecture hours and two laboratory hours that teaches computational aspects of the course in R. Prerequisites: Graduate status or instructor permission.