The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...

Basic statistical concepts presented with emphasis on their relevance to biological and medical investigations. Evaluation is through problem sets, quizzes embedded within asynchronous videos, use of ...

Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

I am an early admit to the University of Chicago, and I want to make sure that I sign up for classes as a freshmen and sophomore that will provide a good background for me, no matter what my course of ...

This course is compulsory on the MPA in European Public and Economic Policy, MPA in International Development, MPA in Public Policy and Management, MPA in Public and Economic Policy and MPA in Public ...