MATH105-HS0-202540 Applied College Algebra

Functions and graphs, including linear functions, quadratic functions, other polynomial functions, exponentials and logarithmic functions; zeros of polynomial functions, systems of equations and inequalities. Graphing calculator required.

MATH105-HS1-202540 Applied College Algebra

Functions and graphs, including linear functions, quadratic functions, other polynomial functions, exponentials and logarithmic functions; zeros of polynomial functions, systems of equations and inequalities. Graphing calculator required.

MATH110-007-202540 Pre-Calc Trig and Func Theory

Trigonometric and inverse trigonometric functions, equations, and graphs, fundamental trigonometric identities, and the polar coordinate system. Graphing calculator required.

MATH110-HS2-202540 Pre-Calc Trig and Func Theory

Trigonometric and inverse trigonometric functions, equations, and graphs, fundamental trigonometric identities, and the polar coordinate system. Graphing calculator required.

MATH110-HS3-202540 Pre-Calc Trig and Func Theory

Trigonometric and inverse trigonometric functions, equations, and graphs, fundamental trigonometric identities, and the polar coordinate system. Graphing calculator required.

MATH270-HS1-202540 Calculus I

Definitions, properties, and applications of derivatives and integrals. Graphing calculator required.

STAT325-001-202540 Intro to Prob & Stat

This is an introductory probability course with a brief indication of applications to statistics. Since there is not a calculus prerequisite, the emphasis is on finite cases with heuristic treatment of countably infinite and continuous extensions. Basic theory of probability, counting rules, conditional probability, independence, Bayes’ Theorem. Discrete and continuous random variables. The course ends with a brief discussion of inferential statistics showing how the probability theory developed in the course leads to confidence estimation and hypothesis testing.

STAT325-003-202540 Intro to Prob & Stat

This is an introductory probability course with a brief indication of applications to statistics. Since there is not a calculus prerequisite, the emphasis is on finite cases with heuristic treatment of countably infinite and continuous extensions. Basic theory of probability, counting rules, conditional probability, independence, Bayes’ Theorem. Discrete and continuous random variables. The course ends with a brief discussion of inferential statistics showing how the probability theory developed in the course leads to confidence estimation and hypothesis testing.

STAT427-001-202540 Stat Methods for Researchers I

Applications useful to researchers in all fields. Probability distributions, measurements of precision and accuracy, control charts, tests of significance, confidence intervals, analysis of variance, use of statistical software packages.