MAT - Mathematics

A study of the basic concepts of algebra such as first-degree equations, factoring, rational expressions, graphing, quadratic equations, exponents and radicals. May not be used to satisfy general distribution requirements of the Baccalaureate Experience.

Appropriate as a general distribution requirement for liberal arts students. Topics include graph theory, planning and scheduling, data collection, descriptive statistics, social choices and voting, the problem of fair division, and the study of size and shape.

Topics include functions and their graphs, polynomial and rational functions, exponential and logarithmic functions, systems of equations and inequalities, and matrices.

Covers exponential and logarithmic functions, trigonometric functions, analytic trigonometry, applications of trigonometric functions, polar coordinates and vectors.

An introduction to descriptive and inferential statistics, with applications in various disciplines using statistical computer software. May not be used to satisfy general distribution requirements of the Baccalaureate Experience.

This course is designed to provide students with the fundamental components of differential and integral calculus, with a particular emphasis on those aspects of calculus that have applications to business. The course covers exponential and logarithmic functions, limits, differentiation and differentiation techniques, applications of the derivative (e.g., marginal cost, marginal revenue, rate of growth), anti-derivatives, the integral as an area, functions of several variables, and partial derivatives.

Covers limits, continuity, differentiation, applications of derivatives, integration, and integration by substitution.

Covers integration techniques and applications, parametric and polar curves, sequences and infinite series.

Covers vectors in two and three dimensional space, partial derivatives, multiple integration and vector calculus.

This course teaches programming fundamentals such as program design and modularity, with an emphasis on mathematical applications. Mathematical fields from which problems will be drawn include number theory, linear algebra, statistics, differential equations, multivariable calculus and modeling.

Covers proof techniques, basic set theory, relations and partitions, functions and cardinality.

Covers first-order differential equations with applications, higher-order differential equations with applications, systems of differential equations and numerical solutions of differential equations.

Covers sets, induction, algorithms, recursion, matrices, relations, functions, digraphs, partially ordered sets, lattices, Boolean algebra, switching circuits, trees and combinatorial analysis.

Covers systems of equations, matrices, vectors spaces and subspaces, dimension, linear transformations, eigenvalues and eigenvectors.

Covers probability, descriptive statistics and inferential statistics.

Covers the theory of limits, continuity, differentiation and integration.

Covers complex numbers, analytic functions, elementary functions, integrals, series, residues and poles.

Covers the theory of groups, rings and fields.

An in-depth study of a topic in mathematics or mathematical programming. Requires consultation with a faculty member, personal research, library research and an oral presentation.

Subject may be chosen from point-set topology, partial differential equations, combinatorics, graph theory or other topics.