This course gives students an introduction to both theoretical and applied concepts in statistics. Descriptive and simple inferential statistics will be focused upon. Core content includes ...

Designed for students with little or no background in college-level science, this course examines the basic molecular-level structures and transformations associated ... See the New and Topics Courses ...

The course will touch on the law of large numbers and the central limit theorem. Selected topics may be included such as the Poisson process, Linear Models, Markov chains, Bayesian methods. An ...

lect./disc. In this course, we will learn about the Bayesian paradigm of statistics, in which one’s inferences about parameters or hypotheses are updated as evidence accumulates. The goals of the ...

For the last 43 years Professor Sommers has taught courses in economic statistics, (introductory and intermediate-level ... The proposals should contain a specific description of the course contents, ...

This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, an innovative ...

Consistent with the University’s Course Syllabus Policy, all courses at Saint Louis University are expected to have a syllabus, and all syllabi are expected to provide students with basic information ...

A brief introduction to the course: scope, purpose and relevance of the material.

See the Registration web page for registration information. While every effort is made to ensure that the Undergraduate Catalog and Schedule of Classes are accurate, unforeseen circumstances or low ...

The course provides an introduction to applied statistics. The students will learn how data should be organized and interpreted and how to draw conclusions from data. The course provides a basis for ...