37 courses with the subject MAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MAT 130Exploring With Mathematics3
This course emphasizes reasoning and communicating to clarify and refine thinking in practical areas of life. Students will gain confidence in their ability to apply their mathematical skills to applied problems and decision making. Topics will be chosen from: set theory, probability, financial mathematics, visual representation of information, geometry, and graph theory.
MAT 160Fundamental Concepts of Mathematics I: Problem Solving, Number, Operation and Measurement3
For prospective elementary teachers. Introduction to mathematics concepts, their understanding and communication. Topics include an introduction to problem solving, set operations and their application to arithmetic, numeration systems, arithmetic, and measurement. Emphasis is on developing a deep understanding of the fundamental ideas of elementary school mathematics.
This class is intended for students who are preparing to take calculus. Trigonometry will be defined using the unit circle approach, with emphasis on the geometry of the circle. Classical right triangle trigonometry will be studied, along with trigonometric identities and equations, the laws of sines and cosines, and graphs and properties of the trigonometric functions and their inverses. Additional topics from algebra will include logarithmic and exponential functions. A graphical approach will be utilized throughout, with an emphasis on solving application problems. Students will develop skills in basic trigonometry and its applications, with an emphasis on modeling with functions and other algebraic skills necessary for the study of calculus.
A general introduction to descriptive and inferential statistics, designed for non-mathematics majors. Topics include elementary probability, distributions, estimation of population parameters, confidence intervals, hypothesis testing, correlation, and regression. Students will use statistical analysis technology.
This course is the second of a two-semester sequence that integrates Precalculus and Calculus I topics. The course continues the study of the geometric and analytic properties of algebraic and transcendental functions. The course will explore applications for differentiation including optimization and graphical analysis of functions, as well as the theory of integration and basic integration techniques. Applications of integration include area.
This course is designed to introduce mathematical and statistical content through data-driven techniques. Students will utilize spreadsheets and numerical methods to solve problems drawn from business, economics, and natural, social, and behavioral science applications. Content topics include: functions, regression, differentiation, integration, and probability.
This course is designed to prepare students for calculus, and is the culmination of the study of functions. Students will study different types of functions, including polynomial, power, exponential, logarithmic, rational, and trigonometric functions. Students will use these different types of functions to represent real world phenomena and will learn techniques to solve equations involving these functions. Notes: Credit not given for both MAT 170 and MAT 190. Credits 4
A study of functions, limits, continuity, the derivative, and the integral. Applications of differentiation and integration include maxima, minima, marginal cost and revenue, rectilinear motion, and areas. Students will use technology for exploration and problem solving.
A continuation of the calculus of functions of one variable. Topics include volumes of rotation, transcendental functions, integration techniques, polar coordinates, parametric equations, and infinite series. Students will use technology for exploration and problem solving.
A study of vectors in two and three dimensions, vector algebra, vector functions, vector calculus and multivariable calculus. This includes three-dimensional analytic geometry, partial differentiation and multiple integrals, line and surface integrals, Green's Theorem, Divergence Theorem, Stokes' Theorem and applications. Students will use technology for exploration and problem solving.
MAT 248Statistical Concepts and Methods for Mathematicians3
An introduction to statistics for mathematically inclined students, focusing on the process of statistical investigations. Observational studies, controlled experiments, sampling, randomization, descriptive statistics, probability distributions, significance tests, confidence intervals, one-and two sample inference procedures, linear regression. Statistical software will be used throughout the course.
MAT 260Fundamental Concepts of Mathematics II: Geometry Algebra, Functions, Data Analysis, and Probability3
The second course intended for prospective elementary teachers continues an in-depth introduction to mathematical concepts focusing on student understanding and communication. Topics include geometric concepts (shape and space, area and volume, transformations and symmetry), algebraic concepts (patterns, equations, and functions), and statistical concepts (designing investigations, gathering & analyzing data, and basic probability). The course will utilize investigative activities and instructional technology. Emphasis is on developing a deep understanding of the fundamental ideas of elementary school mathematics and transitioning from inductive to deductive reasoning.
An introduction to various topics chosen from combinatorics, propositional logic and graph theory. Topics include counting techniques, permutations and combinations, induction and recursion, Boolean algebra, planarity, minimal paths and minimum spanning trees. Credits 3
This course will provide opportunities for freshmen and sophomores to participate in original research in mathematics. Students will submit findings in a formal written report and will give an oral presentation. Students will be expected to work approximately three hours per week on the research project for each semester hour of credit. Credits 1 -3
A course emphasizing Euclidean geometry and introducing hyperbolic, elliptic, and transformational geometries. Students will use methods of discovery, construction, and proof to study geometric systems.
A continuation of MAT-175 or MAT-248 which includes one- and two-sample inference, two-way tables, simple and multiple regression, and analysis of variance. Application of these topics will be drawn from business, economics, and natural, social, and behavioral science applications. Students will use statistical analysis technology.
A study of distribution-free statistical methods. Estimation and hypothesis testing that make relatively mild assumptions about the form of population distribution. Analysis of qualitative (nominal level) and rank (ordinal level) data. Inference for proportions, one and two-sample location, dispersion, trend, one- and two-way layouts, rank correlation, and regression. Students will use statistical analysis technology. Credits 3
A study of first order differential equations, linear differential equations of higher order, Laplace transforms, series solutions, and applications. Students will use a computer package.
A computer-oriented study of analytical methods in mathematics. Topics include solving non-linear equations, least squares approximation, interpolating polynomials, numerical differentiation, and numerical quadrature. Credits 3
A course on linear models, including single and multiple linear regression models, analysis of variance (ANOVA) and analysis of covariance (ANCOVA), as well as generalized linear models, such as logistic regression. Further focus is on model assumptions, variable selection, and model diagnostics. This course emphasizes theory along with application through programming coursework in a high-level language suited for statistics.
A rigorous treatment of the foundations of calculus. A study of the algebraic and topological properties of the real numbers; one-variable calculus, including limits, continuity, differentiation, Riemann integration, and series of functions.
In conjunction with a faculty mentor, the student will formulate and execute an original research project that will culminate in a paper and a presentation. The research project must meet Honors Program thesis requirements as well as the expectations of the mathematics faculty.
In conjunction with a faculty mentor, the student will formulate and execute an original research project that will culminate in a paper and/or a presentation. Credits 1 -3
