Mathematics

This course begins with a review of real numbers and algebraic expressions before covering algebra topics including linear equations and inequalities, lines and functions, systems, exponents, polynomials, and factoring.

This course equips students with the fundamental principles and techniques of statistical analysis, preparing them to interpret data effectively, draw meaningful conclusions, and make informed decisions in both general and healthcare-specific contexts.  

This course is an introduction to mathematical probability theory and statistical inference. This course balances both theory and application using both scientific and quantitative reasoning. Students will apply mathematical and scientific concepts and reasoning, and analyze, interpret, and present various types of data.

Basic concepts of using statistical models to draw conclusions from experimental and survey data. The course is a postcalculus introduction to mathematical probability theory and statistical inference. It balances theory and applications. The course also serves as a suitable background for further work in mathematical and applied probability and statistics.