Course Search Results

  • MATH 3120: Transition to Advanced Mathematics

    3.00 Credits
    Southern Utah University

    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 (Standard Letter)] Prerequisite(s): MATH 1220 and MATH 2270 - Prerequisite Min. Grade: C Registration Restriction(s): None Prerequisite:    MATH 1220 A MATH 2270
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  • MATH 3130: Modern Geometries

    3.00 Credits
    Southern Utah University

    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 (Standard Letter)] Prerequisite(s): MATH 3120 - Prerequisite Min. Grade: C Registration Restriction(s): None Prerequisite:    MATH 3120
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  • MATH 3150: Applied Linear Models

    3.00 Credits
    Southern Utah University

    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] Prerequisite(s): ([MATH 1040 or MATH 1190 or MATH 3700] and [MATH 1050 or MATH 1100 or MATH 1210]) or instructor permission - Prerequisite Min. Grade: C Prerequisite:    ( MATH 1040 O MATH 1190 O MATH 3700 ) ( A MATH 1050 O MATH 1100 O MATH 1210 )
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  • MATH 3160: Number Theory

    3.00 Credits
    Southern Utah University

    An introduction to elementary number theory. Topics include divisibility, primes, congruences, arithmetic functions, primitive roots, quadratic residues, and cryptography. (Fall - Odd Years) [Graded (Standard Letter)] Prerequisite(s): MATH 3120 - Prerequisite Min. Grade: C Registration Restriction(s): None Prerequisite:    MATH 3120
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  • MATH 3190: Statistical Learning for Data Science

    3.00 Credits
    Southern Utah University

    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] Prerequisite(s): (MATH 3150 or MATH 3700) and (MATH 2170 or MATH 2270) and a working knowledge of a programming language - Prerequisite Min. Grade: C Prerequisite Can Be Concurrent? Yes (MATH 2170 or MATH 2270) Prerequisite:    ( MATH 3150 O MATH 3700 ) ( A MATH 2170 O MATH 2270 )
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  • MATH 3250: Complex Variables

    3.00 Credits
    Southern Utah University

    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 (Standard Letter)] Prerequisite(s): MATH 2210 - Prerequisite Min. Grade: C Registration Restriction(s): None Prerequisite:    MATH 2210
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  • MATH 3410: Applied Spatial Statistics

    3.00 Credits
    Southern Utah University

    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] Prerequisite(s):MATH 1040 or MATH 1190 or MATH 3700 and MATH 1050 or MATH 1100 or MATH 1210 - Prerequisite(s) Min. Grade: C Prerequisite:    MATH 1040 O MATH 1190 O MATH 3700 A MATH 1050 O MATH 1100 O MATH 1210
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  • MATH 3500: Actuarial Mathematics

    3.00 Credits
    Southern Utah University

    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] Prerequisite(s): MATH 1100 or MATH 1210 or MATH 1310 - Prerequisite Min. Grade: C Prerequisite:    MATH 1100 O MATH 1210 O MATH 1310
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  • MATH 3600: Numerical Analysis

    3.00 Credits
    Southern Utah University

    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 (Standard Letter)] Prerequisite(s): (MATH 2250 or MATH 2280) and working knowledge of a programming language or computer algebra system - Prerequisite Min. Grade: C Prerequisite Can Be Concurrent? Yes (MATH 2280) Registration Restriction(s): None Prerequisite:    MATH 2250 O MATH 2280
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  • MATH 3700: Probability and Statistics

    4.00 Credits
    Southern Utah University

    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 (Standard Letter)] Prerequisite(s): MATH 1220 - Prerequisite Min. Grade: C Registration Restriction(s): None Prerequisite:    MATH 1220
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