55 courses with the subject MATH, 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.
Credit(s) | $1.25 Fee
Credit(s) | $1.25 Fee
Credit(s) | $2.50 Fee
Credit(s) | $2.50 Fee
Credit(s) | $3.75 Fee
Credit(s) | $5 Fee The traditional topics of intermediate algebra are covered: graphing linear equations and inequalities, absolute value equations and inequalities, factoring, rational expressions, exponents, radicals, quadratic equations, exponential and logarithmic functions, and an introduction to sets, functions and complex numbers. (This course does not fill the requirement for General Education.) (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $3.75 Fee An exploration of contemporary mathematical applications with a focus on developing quantitative reasoning skills. Students will represent and analyze multiple concrete real-world problems using quantitative tools. Topics include voting theory, graph theory, financial mathematics, statistics, and probability. Additional topics from geometry and modeling may also be discussed. Appropriate for non-science majors, the course is designed to foster an appreciation of mathematics and involves limited algebraic manipulation. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $3.75 Fee An exploration of basic statistical concepts with a focus on developing critical reasoning skills. Students will represent data, calculate probabilities, draw conclusions using statistical tools, and critique statistical studies and data collection methods. Topics include descriptive statistics, basic probability, statistical graphs, experimental design, and an introduction to statistical inference. Appropriate for many non-quantitative majors, the course is designed to develop statistical literacy and involves limited algebraic manipulation. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $5 Fee An introduction to the basic concepts and methods of statistical data analysis. Students will summarize and interpret data, evaluate important assumptions, and draw appropriate conclusions based on sample data sets from a variety of disciplines. Topics include descriptive statistics, statistical graphs, probability, discrete and continuous probability distributions, confidence intervals, hypothesis tests with one and two samples, correlation and regression, chi-square tests and one-way ANOVA. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $5 Fee An exploration of the properties and applications of functions and their graphs. Students will construct and analyze mathematical models from a wide variety of fields using appropriate technology. Topics include polynomial, rational, inverse, logarithmic, and exponential functions as well as matrix methods for solving systems of equations. Additional topics may include sequences, series, and conic sections. May be taken concurrently with
Credit(s) | $3.75 Fee An exploration of the properties and applications of trigonometric functions. Students will represent physical situations and solve applied problems using trigonometric tools and appropriate technology. Topics include angle measure, solving triangles, and trigonometric functions, graphs, equations, and identities. Vectors, polar coordinates, and complex numbers will also be introduced. May be taken concurrently with
Credit(s) | $3.75 Fee An introduction to basic computational techniques and applications of calculus. Topics include functions, limits, differentiation, and integration. Emphasizes the use of calculus in solving problems from areas including business, economics, social sciences, and life sciences. This course does not serve as a prerequisite for
Credit(s) | $3.75 Fee This course introduces the analysis and visualization of data using a high-level computer programming language (e.g., R). It emphasizes conceptual understanding of the data science lifecycle, which includes data collection and organization, sampling and sampling bias, exploratory data analysis and visualization, statistical inference, and prediction. Inference and prediction topics include confidence intervals, hypothesis tests with one and two samples, chi-square tests, ANOVA, and linear regression. (Fall, Spring) [Graded Letter]
Credit(s) | $5 Fee Functions, limits and continuity; the derivative, differentiation techniques, and applications; graphing applications including extrema and concavity; elementary antiderivative/integration skills; the definite integral and its applications. Coverage includes applying the ideas and techniques of calculus to algebraic, trigonometric, exponential, and logarithmic functions. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $5 Fee A continuation of MATH 1210 . Techniques of integration; further applications of the definite integral; improper integrals; infinite series; conic sections and topics in analytic geometry; polar coordinates and parametric equations. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $6.25 Fee Differential and integral calculus with a focus on engineering and science applications: functions and models; parametric and polar curves; limits and derivatives; rates of change in science and engineering; related rates; derivatives and shapes of graphs; optimization; Newton’s method; definite integrals, anti-differentiation and Fundamental Theorem of Calculus; techniques of integration; numerical and symbolic integration with software; arc length, area and volumes via integration. (Fall, Spring) [Graded Letter]
Credit(s) | $3.75 Fee An exploration of fundamental concepts underlying algebra and algebraic thinking. Students will investigate, discuss, and apply foundational ideas such as variable, equation, solution, function, and graph in multiple algebraic settings. Topics include the integers modulo n, inverses and inverse functions, growth in dynamical systems, polynomial and exponential models. Recommended for prospective elementary school teachers but open to all majors. Graphing calculator required; this course does not serve as a prerequisite for Calculus I. (Fall, Spring) [Graded Letter]
Credit(s) | $3.75 Fee The first course in a two-semester sequence focused on mathematical content appropriate to the needs of elementary and middle school teachers. Topics include problem solving, sets, numeration systems, whole numbers, algorithms of arithmetic, number theory, rational numbers, decimal numbers. Required for prospective elementary school teachers. (Fall, Spring) [Graded Letter]
Credit(s) | $3.75 Fee A continuation of MATH 2010 . Topics include real numbers, statistics, probability, geometry, and measurement. Required for prospective elementary school teachers. (Fall, Spring) [Graded Letter]
Credit(s) | $3.75 Fee An introduction to linear algebra, with emphasis on data science and machine learning. Topics include vectors, inner products, norms, linear independence, orthonormal sets, Gram-Schmidt algorithm, clustering and the k-means algorithm, linear systems, matrix algebra, matrix inverses, linear and affine transformations, linear dynamical systems, least-squares, data fitting, eigenvalues, and singular value decomposition. Additional applications may include QR factorization, adjacency matrices and network flow, computer graphics, regularization, cross-validation, classification, constrained least-squares, time-series prediction, linear quadratic control, dimensionality reduction, principal component analysis, and portfolio optimization. Students will use Python throughout this course. (Fall, Spring) [Graded Letter]
Credit(s) | $5 Fee Vectors in two and three-dimensional space, quadric surfaces, cylindrical and spherical coordinates, calculus of vector-valued functions, partial derivatives and the gradient, limits and continuity of functions of several variables, vector fields and line integrals, multiple integrals and evaluation theorems. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $5 Fee Systems of equations, matrices, vector spaces, and eigenvalues. Linear and nonlinear differential equations, systems of differential equations, and their applications. Designed for engineering students. (Fall, Spring) [Graded Letter]
Credit(s) | $3.75 Fee Systems of linear equations, matrices and matrix inverses, linear transformations, vector spaces, bases and linear independence, eigenvalues and eigenvectors. Basic proofs and selected applications. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $3.75 Fee Linear and nonlinear differential equations and linear systems of equations with applications; emphasizes understanding of the solution as well as the techniques used. This course is designed for majors in Math, Math Education, and Science. (Spring) [Graded Letter]
Credit(s) | $1.25 Fee An introduction to the usage and syntax of a software package commonly utilized in the mathematical sciences. Repeatable with different software packages for up to three (3) credits. (Fall [As Needed], Spring [As Needed]) [Pass/Fail]
Credit(s) | $1.25 per credit Fee An opportunity to work with an individual faculty member on a mathematical research project. (As Needed) [Graded Letter]
Credit(s) | $3.75 Fee An exploration of the historical development of mathematics and mathematical thinking, highlighting contributions by influential mathematicians. Topics include the origins and development of number systems, algebraic notation, algebraic techniques, computational tools, Euclidean geometry, calculus, linear systems, probability, and statistics. The course is intended to provide a historical perspective on the nature of mathematics and its application appropriate for prospective mathematics teachers. (Spring - Even Years) [Graded Letter]
Credit(s) | $3.75 Fee One of a three-course sequence focused on mathematical content knowledge appropriate to the needs of middle and high school teachers. Topics include numbers and operations, ratios and proportions, probability and counting, probability distributions, interpreting statistical data, and linear regression. The discussion of these topics will be focused on developing multiple representations and flexible thinking to aid in being an effective mathematics teacher. (Fall) [Graded Letter]
Credit(s) | $3.75 Fee One of a three-course sequence focused on mathematical content knowledge appropriate to the needs of middle and high school teachers. Topics include trigonometry, coordinate geometry, congruence and similarity via motions, and geometric constructions. The discussion of these topics will be focused on developing multiple representations and flexible thinking to aid in being an effective mathematics teacher. (Spring) [Graded Letter]
Credit(s) | $3.75 Fee One of a three-course sequence focused on mathematical content knowledge appropriate to the needs of middle and high school teachers. Topics include variables, expressions, equations, algebraic manipulation, representations of functions, classes of functions, transformations of functions, and inverse functions. The discussion of these topics will be focused on developing multiple representations and flexible thinking to aid in being an effective mathematics teacher. (Spring) [Graded Letter]
Credit(s) | $3.75 Fee A careful and thorough presentation of the fundamental mathematical concepts required to enter advanced mathematical coursework: sets, logic, methods of mathematical proof, relations, functions, and cardinality. (Fall, Spring) [Graded Letter]
Credit(s) | $3.75 Fee Informal and formal study of geometry, investigation of the elements of an axiomatic system, introduction to appropriate geometry software. This course is required for prospective secondary mathematics teachers. (Spring) [Graded Letter]
Credit(s) | $3.75 Fee Introduction to data analysis and applied statistical methods commonly used in industrial and scientific applications as well as in data science. Emphasis will be on the practical aspects of statistics with students analyzing real data sets. Topics covered include analytic and graphical representation of data, exploratory data analysis, one- and two-way ANOVA, post hoc tests, linear regression analysis, model diagnostics, and logistic regression. Optional topics include non-parametric tests, bootstrapping, and principal component analysis. Students will use R throughout the course. (Fall) [Graded Letter]
Credit(s) | $3.75 Fee An introduction to elementary number theory. Topics include divisibility, primes, congruences, arithmetic functions, primitive roots, quadratic residues, and cryptography. (Fall - Odd Years) [Graded Letter]
Credit(s) | $3.75 Fee This class will be an introduction to the mathematics and algorithms underlying statistical learning techniques used for data science. Topics covered will include regularization methods, advanced regression, cross validation, Bayesian methods, optimization, dimension reduction, clustering and classification. Database management will also be discussed. Students will use a programming language and GitHub throughout this course. (Spring - Even Years) [Graded Letter]
Credit(s) | $3.75 Fee Introduction to the study of complex variables for mathematics, engineering, physics, and science students. Topics include complex numbers and functions, complex differentiation and integration, analytic functions, infinite series, residues, and contour integrals. (Spring - Odd Years) [Graded Letter]
Credit(s) | $3.75 Fee An introduction to analyzing spatial patterns, modeling relationships, and interpolation and prediction for spatial data structures. Topics covered include spatial data exploration and visualization, spatial autocorrelation with Moran’s I, hot-spot analysis, point process analysis, geographically weighted regression, spatial autoregressive models, nearest neighbor distances, semivariograms, and Kriging. Students will use a statistical programming language (e.g., R or Python) throughout the course. (Fall - Odd Years) [Graded Letter]
Credit(s) | $3.75 Fee Mathematical analysis of interest, general annuities, and other securities. Theoretical basis of actuarial models and the application of those models to insurance and other financial risks. This course covers topics from the second and third actuarial exam. (Spring - Even Years) [Graded Letter]
Credit(s) | $3.75 Fee Application of numerical and iterative methods to interpret and analyze data, to solve algebraic, differential and systems of equations, and to analyze error in approximations. Topics include numerical linear algebra, calculus and other function approximations. (Spring - Even Years) [Graded Letter]
Credit(s) | $5 Fee A formal, calculus-based introduction to the concepts of probability theory and mathematical statistics. Set theory based probability and probability distributions are studied with the goal of presenting and understanding the underpinnings of statistical methodology. (Fall, Spring, Summer) [Graded Letter]
Credit(s) | $3.75 Fee Development of mathematical and statistical models and the application of those models to various areas of applied mathematics. Possible applications include, but are not limited to, insurance, investments, bioinformatics, and chemistry. (Spring - Odd Years) [Graded Letter]
Credit(s) | $1.25 per credit Fee An opportunity to work with an individual faculty member on a mathematical research project. (As Needed) [Graded Letter]
Credit(s) | $3.75 Fee An introduction to the study of algebraic structures focusing on groups. Topics include subgroups, homomorphisms, factor groups, permutations, and a brief introduction to rings and fields. (Fall) [Graded Letter]
Credit(s) | $3.75 Fee A continuation of MATH 4220 focusing on rings and fields. Topics include ideals, unique factorization domains, finite fields, field extensions, and selected applications. (Spring - Even Years) [Graded Letter]
Credit(s) | $3.75 Fee An introduction to point-set topology. Topics to be covered include sets, metric spaces, topologies, bases, subspaces, products, quotients, separation axioms, continuous functions, compactness, connectedness, and metrization. (Fall - Even Years) [Graded Letter]
Credit(s) | $3.75 Fee The first of a two-semester sequence. The general emphasis will be a careful study of functions of one real variable. Particular topics explored will include sequences and convergence, limits, theorems of Heine-Borel and Bolzano-Weierstrass, continuity, differentiation, integration, power series, and uniform convergence. (Fall) [Graded Letter]
Credit(s) | $3.75 Fee A continuation of MATH 4400 . Differential calculus of functions of several variables, differentiability of functions of several variables, vector differential calculus, integral calculus, line integrals, Green’s theorem, simply connected domains, surface integrals, and Stokes’ theorem. (Spring - Odd Years) [Graded Letter]
Credit(s) | $1.25 per credit Fee Special topics in mathematics not routinely covered in existing courses. Material may be chosen from computational mathematics, combinatorics, topology, algebra, differential equations, statistics, and various other areas of pure and applied mathematics. Repeatable with different topics for up to five (5) credits. (Fall [As Needed], Spring [As Needed]) [Graded Letter]
Credit(s) | $3.75 Fee With instructor supervision, this course offers a major data science project that provides an opportunity to apply much of the material the student has learned in previous coursework. (Spring) [Graded Letter]
Credit(s) | $1.25 per credit Fee Description unavailable. (Fall, Spring, Summer) [Pass/Fail] Repeatable for Add’l Credit? Yes
Credit(s) | $1.25 per credit Fee Description unavailable. (Fall, Spring, Summer) [Pass/Fail]
Credit(s) | $3.75 Fee A methods course relating mathematics and the current standards to appropriate teaching practices and techniques. The course will emphasize educational topics such as selection of mathematical tasks, conducting mathematical discussions, use of manipulatives and technological tools, and other methods of effective mathematics instruction. (Fall) [Graded Letter]
Credit(s) | $416.25 Fee Supervised teaching in a secondary school. Hours arranged by contract. (Fall, Spring) [Pass/Fail]
Source: Southern Utah University's catalog, linked per course · table learning_unit · CourseShelf publish 61
