28 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 111Business Calculus3
Business Calculus: This course is designed to develop students’ quantitative literacy skills by studying real-world mathematical problems in a variety of business contexts. Students will gain an in-depth knowledge of algebraic functions and an introduction to the calculus concepts of differentiation and integration for application in business settings. Emphasis is on identifying, building, and communicating the results of mathematical models using algebraic and calculus tools. Applications include, but are not limited to, marginal analysis, optimization, and continuous income streams.
Business Statistics: This course is designed to develop students’ statistical skills for business applications. Topics include graphical methods of descriptive statistics, random variables, probability distributions, Central Limit Theorem, confidence intervals, one-sample, and two-sample hypothesis tests for mean and proportion, Chi-Square test, correlation, least-squares regression, and Analysis of Variance. Use of Excel will be emphasized. Special focus will be placed on critical thinking about statistics and understanding concepts. (Offered every fall and spring terms).
Mathematical Functions: This course provides various mathematical functions widely used in sciences. Topics may include, but are not limited to, units and conversions between and within measurement systems, elementary geometry, polynomial functions, logarithmic functions, exponential functions and basic trigonometry functions. This course satisfies the math prerequisite for PHY 201 College Physics. MAT 125 and MAT 140 may not both be counted toward credit. Prerequisite: None. (Offered every spring term.) Credit: c MAT 130 Introductory Statistics Introductory Statistics: An introduction to the fundamentals of analyzing numerical data in a social science context. Students will learn sampling methods, descriptive statistics, probability and sampling distributions, estimation, hypothesis testing, correlation, regression, and analysis of variance. Emphasis will be on an intuitive understanding of statistical formulae and models, and on their practical application. The SPSS package will be used for computer data analysis. Prerequisite: None. (Offered every fall and spring term.) Credit: 4
Introductory Statistics: An introduction to the fundamentals of analyzing numerical data in a social science context. Students will learn sampling methods, descriptive statistics, probability and sampling distributions, estimation, hypothesis testing, correlation, regression, and analysis of variance. Emphasis will be on an intuitive understanding of statistical formulae and models, and on their practical application. The SPSS package will be used for computer data analysis.
Introductory Statistics for Social Sciences: An introduction to the fundamentals of analyzing numerical data in varied contexts including the social sciences, health sciences, and business. Students will learn sampling methods, descriptive statistics, probability and sampling distributions, estimation hypothesis testing, correlation, regression, and analysis of variance. Emphasis will be on an intutive understanding of statistical formulae and models, and their practical application. A statistical software package will be used for computer data analysis.
Precalculus: A course designed to prepare the students with the tools necessary for success in the calculus sequence. This is primarily accomplished through the study of functions: polynomial, rational, exponential, logarithmic, and trigonometric. MAT 140 and MAT 125 may not both be counted towards credit.
Single Variable Calculus I: Introduction to the derivative and the integral with application to the sciences. The course begins with the concept of limit before introducing the derivative of a single-variable function and its applications to graphing, rates of change, and optimization. The one-variable integral is then explored with application to area, length, and volume. precalculus proficiency. (Offered every fall and spring term.)
Calculus II with Differential Equations: This course picks up where MAT 210 leaves off, exploring the derivative and integral at even deeper levels, including various integration methods, transcendental functions, indeterminate forms, and improper integrals. In addition, these methods are applied to the solving of separable and linear differential equations.
Multivariable Calculus: The final course in the calculus sequence explores the challenges of dealing with multivariate functions. Topics include: sequences and series, vector functions; vector fields; and integrals of line, surface, and volume domains.
Topics in Mathematics: This course provides a faculty member and an interested group of students an opportunity to study a subject not usually offered as part of the general education. May be repeated for credit under different subtitles. Open to all students. (Offered as needed.)
Subject
MAT
Credits (min)
1
Credits (max)
4
Credit unit
Credit
Type
course
Repeatable
May be repeated for credit under different subtitles.
Mathematics of Games: Games and puzzles have been part of human civilization for thousands of years. They strengthen our mental and physical skills while engaging our innate sense of curiosity and competitiveness. From Poker, to Yahtzee, to Sudoku, most games and puzzles have one thing in common: they are overwhelmingly based on the principles of mathematics. In this course, we will examine the mathematical principles underlying a variety of games and puzzles found throughout human history. We will apply a mathematical lens to both probability and non-probability- based games and puzzles in order to understand how rules function within a game and to help determine winning strategies of play.
Linear Algebra and Programming: Topics include: vector algebra, matrix algebra, determinants, and the study of linear transformations. The basics of computer programming will be studied in order to operate on large matrices and study the concept of algorithm.
Non-Euclidean Geometry: A rigorous study of axiomatic systems using geometries that differ from the Euclidean geometry of the plane including various finite geometries, hyperbolic geometry, and spherical geometry. Prerequisite:
Differential Equations: An in-depth study of differential equations including linear and nonlinear equations; Laplace transforms, systems of equations, and partial differential equations. Applications include harmonic motion, electrical systems, impulse functions, and the propagation of thermal energy and waves.
Real Analysis: The theory of the real number system; limit, continuity, differentiability, and integrability sequences and series; completeness and compactness.
Calculus on the Complex Plane: A study of calculus as it applies to the field of complex numbers; the Cauchy-Riemann Equations and harmonic functions; contour integrals and the Cauchy Integral Formula.
An advanced statistics course focused on the modeling process, from model selection and building to communication of results. Students will generate models using a variety of statistical techniques, including data visualization, advanced topics in ANOVA and regression, and multivariable methods. Statistical computing skills will be further developed using the R programming language. Together with MAT 260, recommended for students in all majors/programs pursuing careers or graduate programs with a substantial quantitative component.
Topics: International Preparation: This course examines international aspects of a selected subject matter in preparation for international experience around the same topic. Open only to students enrolled in the corresponding international experience course. Students must earn a grade of C- or better (an average of 70) in order to participate in MA 399. The total number of hours for MAT 398 and MAT 399 cannot exceed four total hours.
Junior standing and a 2.0 or better cumulative GPA.
MAT 399International Experience1-4
International Experience: The international experience component of MAT 398. Students will have the opportunity to experience firsthand many of the topics studied in the prerequisite course. The total number of hours for MAT 398 and MAT 399 cannot exceed four total hours.
completion of MAT 398 with a grade of C- or better (an average of 70).
MAT 415Modern Algebra
Modern Algebra: The study of algebraic structures including: groups, rings, and fields; homomorphism and isomorphism; applications to number theory and cryptography. Prerequisite:
Mathematical Modeling: Exploring various standard models, testing models against data; and developing new models from data. Data will be drawn, when possible, from on-going research within various departments of the University. terms.)
Advanced Topics in Mathematics: This course provides a faculty member and interested group of students an opportunity to study a subject not usually offered as part of th general curriculum. May be repeated for credit under different subtitles. May be closed to students without the necessary prerequisites. (Offered as needed.)
Subject
MAT
Credits (min)
1
Credits (max)
4
Credit unit
Credit
Type
course
Repeatable
May be repeated for credit under different subtitles.
Independent Study in Mathematics: Students may pursue an area of interest in depth under the direction of a faculty member. May be repeated for credit. Open to students who have completed at least one 300 or 400 level course in mathematics. (Offered as needed.)
Research Seminar: A forum for exploring current mathematical research. The student will read and analyze articles from current mathematical publications; participate in presentations by senior students and faculty conducting research; and, finally, will choose a research topic to pursue for MAT 492. term.)
Mathematical Research: The student will conduct a supervised research project under the guidance of a faculty advisor. The finished product will be a written paper as well as a presentation suitable for inclusion in a regional conference.
