Mathematics 101: Transitional Mathematics (Rev. C3)

Mathematics 101 is intended for students who wish to upgrade their mathematics skills before or while attending a post-secondary institution. Students who successfully complete Mathematics 101 are generally permitted to pursue courses and programs that would otherwise require Pure Mathematics 30 as a prerequisite or corequisite.

The emphasis of this course is on using algebra and algebraic methods to solve mathematics problems. It also includes sections on functions of a single variable and trigonometry. As such, it provides a particular subset of mathematical skills that are often needed for study at the post-secondary level.

Mathematics 209: Finite Mathematics (Revision 10)

This course covers several areas of mathematics—including linear equations, functions, matrices, linear inequalities, linear programming, and game theory—with applications in economics, business, the social sciences and the life sciences.

Mathematics 215: Introduction to Statistics (Revision 10)

MATH 215 gives students a working knowledge and understanding of descriptive and inferential statistics and how statistics is applied in the sciences, social sciences, and business.

Mathematics 216: Computer-oriented Approach to Statistics (Revision 4)

Mathematics 216: Computer-oriented Approach to Statistics, is a three-credit, junior-level course designed to introduce the basic principles of statistical analysis, including organization and presentation of statistical data, probability theory and probability distributions, estimation of population parameters from sample data, hypothesis testing, and bivariate analysis.

Mathematics 244: Business Mathematics (Revision 9)

Mathematics 244: Business Mathematics is designed to introduce the basic mathematical skills needed to understand, analyze, and solve mathematical problems encountered in business and finance and in investment decision making.

Mathematics 265: Introduction to Calculus I (Rev. C15)

MATH 265 is an introductory calculus course covering real numbers, functions, continuity and limits, derivatives, curve sketching, optimization areas between curves, applications of the derivative, anti-derivatives, integrals, and areas.

Mathematics 309: Discrete Mathematics (Revision 8)

MATH 309 explains methods of discrete mathematics that are useful in computer science. The course covers set theory, propositional calculus, predicate calculus, relations, functions, Boolean algebra, divisibility, combinatorics, automata, and formal languages.

Mathematics 315: Methods in Applied Statistics (Revision 2)

Mathematics 365: Multivariable Calculus (Revision 7)

MATH 365: Multivariable Calculus, is designed to introduce students to practical applications of calculus to problems in two and three dimensions, and to a theoretical understanding of some aspects of calculus in higher dimensions.