Introduction to Statistics
Descriptive statistics, probability models, statistical estimation and hypothesis testing, linear regression analysis, and special topics.
Descriptive statistics, probability models, statistical estimation and hypothesis testing, linear regression analysis, and special topics.
This course covers the mathematical concepts particularly relevant to non-science majors. Topics covered include problem-solving, topics in finance, probability, statistics, and additional real-world applications. Note: Computer use and graphing calculator may be required (TI-83/84 recommended).
Provides a review of algebra, corequisite mathematical support, and just in time material for MATH 120, Fundamentals of College Mathematics
The study of functions, their properties, their graphs, and applications including polynomial, radical, rational, exponential and logarithmic functions. The course also covers the solving of equations, systems of equations, and inequalities.
Provides a review of algebra, corequisite mathematical support, and just in time material for MATH 126, PreCalculus I
Topics covered include graphing functions, derivatives, integrals, applications, the Fundamental Theorem of Calculus. This course is designed for business and social science majors.
Descriptive statistics, probability models, statistical estimation and hypothesis testing, linear regression analysis, and special topics.
Descriptive statistics, probability models, statistical estimation and hypothesis testing, linear regression analysis, and special topics.
Vector analysis continued; abstract vector spaces, bases, inner products, projections, orthogonal complements, least squares, linear maps, structure theorems, elementary spectral theory, applications.
Theory and solving techniques for constant and variable coefficient linear equations and a variety of non-linear equations. Emphasis on those differential equations arising from real world phenomena. Note: Computer use and graphing calculator may be required (TI-83/84 recommended).