Mathematics (MA)
A broad introduction to the use and misuse of statistics. Types of variables, descriptive statistics. Tabular and visual display of data. Sampling and polling. Elements of probability. Making inferences from samples. Estimation. Hypothesis testing. Use of computer software to display and analyze data. A student who has passed MA331 with a grade of C or better may not subsequently receive credit for MA103.
Prerequisite(s): an appropriate placement score, or a college math course with a grade of C or better.
Material covered will be selected from the following topics: Algebra-based problem solving, linear and quadratic equations, inequalities, variation, graphs, functions, geometry, measurement, counting methods, statistics, the relation between algebra and geometry. A student who has passed an MA course numbered 115 or higher with a grade of C or better may not subsequently receive credit for MA106.
Prerequisite(s): an appropriate placement score, or a college math course with a grade of C or better.
An introduction to real-valued functions and their graphs including polynomial, rational, exponential and logarithmic functions; composite and inverse functions; theory of equations; systems of equations and inequalities. A student who has passed an MA course numbered 115 or higher with a grade of C or better may not subsequently receive credit for MA109.
Prerequisite(s): an appropriate placement score, or a college math course with a grade of C or better.
Plane and analytic geometry—lines, translation of axes; functions and graphs (with and without graphing calculators), translation of graphs, analytic trigonometry, exponential functions, inverse functions (including inverse trigonometric functions and logarithmic functions), absolute value inequalities. A student who has passed an MA course numbered 115 or higher with a grade of C or better may not subsequently receive credit for MA110.
Prerequisite(s): MA109 with a grade of C or better, or placement.
Limits and their properties, continuity, derivatives and their applications, integrals, Fundamental Theorem. These will be applied to algebraic, trigonometric, exponential, and logarithmic functions. 5 hours lecture.
Applications of the definite integral, techniques of integration, infinite sequences and series, tests for convergence, Taylor’s Theorem, power series. 5 hours lecture.
Prerequisite(s): MA115 with a grade of C or better.
Vectors, matrices, linear equations, real vector spaces, determinants, linear transformations and matrix representations, Euclidean spaces, eigenvalues and eigenvectors.
Set theory, mathematical logic, logic networks, mathematical induction; relations and functions; combinatorial analysis; graph theory.
Polar coordinates, vectors and vector-valued functions, surfaces in space, functions of several variables, partial derivatives, gradients, multiple integrals. 5 hours lecture.
Prerequisite(s): MA116 with a grade of C or better.
Analytic geometry in three dimensions, spherical and cylindrical coordinate systems, vector fields, implicit functions, line and surface integrals, Green’s Theorem, divergence theorem, Stokes' Theorem.
Prerequisite(s): MA215 with a grade of C or better.
Differential equations of the first order; linear differential equations of higher order; applications to the physical sciences. Systems of linear differential equations, series solutions; the Laplace transform.
Prerequisite(s): MA116 with a grade of C or better.
This course focuses on a conceptual understanding of data analysis across disciplines. Topics include linear regression, hypothesis testing, various types of analysis of variance (ANOVA), analysis of covariance (ANCOVA), effect sizes, and power analysis. Using statistical packages such as R, students learn to perform analyses and interpret results, developing skills to evaluate and understand data-driven research critically. This course is cross-listed with CS232.
Prerequisite(s): MA109.
A specific topic not offered as a formal course during the given semester.
Prerequisite(s): approval of instructor.
An introduction to basic algebraic structures; mappings and operations, permutations, properties of groups, equivalence, congruence, divisibility, direct products and isomorphisms. 4 hours lecture.
More algebraic structures; rings, integral domains, fields, polynomials over a field, quotient groups and rings and homomorphisms. 4 hours lecture.
Prerequisite(s): MA311 with a grade of C or better.
An axiomatic treatment and critique of Euclidean geometry. Hilbert’s axioms of connection, order, parallels, congruence and continuity. Extension of Euclidean geometry to affine and projective geometry.
This course introduces a fundamental understanding of how machine learning algorithms work, along with hands-on R programming experience to utilize a toolbox of machine learning methods for analyzing real-world datasets. Topics include supervised learning, unsupervised learning, deep learning, and practical applications. This course is cross-listed with CS325.
Prerequisite(s): CS220.
Basic probability theory in both discrete and continuous sample spaces, random variables and their distribution functions, expectation and variance, covariance and correlation, and the central limit theorem.
This course covers essential regression techniques, from simple to multiple linear models. Topics include model diagnostics, assumption checking, outlier detection, and validation, along with parameter inference, variable transformations, and handling qualitative predictors for building reliable, interpretable models.
This course introduces the principles and techniques for visualizing data to support exploration, analysis, and communication. Topics include data manipulation, statistical graphics, dashboards, interactive visualizations, and multi-dimensional data considerations in data visualization. This course is cross-listed with CS350.
Prerequisite(s): MA231, CS220.
A capstone course for future secondary school teachers designed to strengthen understanding of secondary school content in the context of the college mathematics curriculum. Emphasis on alternate methods of problem solving, unifying mathematical themes, the historical context of the development of mathematical ideas, the use of technology in teaching mathematics, correct mathematical communication, and methods of making study of mathematics relevant, dynamic and enriching.
Real number axioms, sequences, completeness, compactness, continuity, uniform continuity, the derivative, the Riemann integral and sequences of functions. 4 hours lecture.
The complex plane and the theory of analytic functions; mapping by elementary functions. Complex integration; series; residues and poles; conformal mapping. Offered on application.
Students specializing in mathematics may prepare a research paper with the consent of the department. This may be an historical approach to a known problem, or an original approach to a problem arising from course work. Offered on application. Students may register and receive 1 to 4 credits more than once; students may not exceed a total of 6 credits toward the major.
Students have the opportunity to work in an industrial or advanced academic research atmosphere. Credit will be determined by the length of the experience, with a minimum of 40 hours per credit.
Prerequisite(s): MA215 and junior or senior status.
Methods of obtaining numerical solutions to various types of mathematical problems. Numerical solutions of systems of linear and nonlinear equations; interpolation; least squares approximations; numerical differentiation and integration; introduction to numerical methods of differential equations. Programs will be assigned illustrating these methods.