35 courses with the subject SMA, 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.
SMA 100Structure of the Number System I (Mathematics)3
Credit(s) Topics include problem-solving, set theory, number theory, numeration systems, and algebra review. Particular emphasis is placed on the successive development of real numbers and the employment of electronic resources. The first course in a sequence of two mathematics courses designed for students who are pursuing teacher certification in areas other than secondary mathematics.
SMA 102Structure of the Number System II (Mathematics)3
Credit(s) Topics include geometry, counting methods, probability, statistics, logic, and consumer mathematics. Particular emphasis is placed on problem-solving strategies and the employment of electronic resources. The second course in a sequence of two mathematics courses designed for students who are pursuing teacher certification in areas other than secondary mathematics.
SMA 100 Fee. Liberal Arts Curriculum: Satisfies the Mathematics and Quantitative Skills requirement
SMA 103College Algebra (Mathematics)3
Credit(s) A study of basic algebraic skills and additional algebraic topics including (but not limited to) real numbers, rational numbers, and radicals; systems of linear equations; polynomial, rational, logarithmic, and exponential functions and equations; and complex numbers.
This course requires a working knowledge of elementary algebra. Liberal Arts Curriculum: Satisfies the Mathematics and Quantitative Skills requirement
SMA 104Make Money Matter (Mathematics)3
Credit(s) Through the use of quantitative skills and critical thinking case studies, students develop personal financial competency. Includes financial goals and approaches to spending, saving, protecting, and investing financial resources to use now and in the future.
Credit(s) An elementary mathematics course that focuses on the problems that developed into algebra, and why modern math is the way it is. The course will cover computation, elementary geometry (both construction and mensuration), the solving of algebraic equations, and the formulas for solutions to polynomial equations. This course requires a working knowledge of elementary algebra.
Credit(s) A study of elementary functions, their graphs, and applications, including polynomial, rational, algebraic, exponential, and logarithmic functions. Graphing calculator required.
Credit(s) A study of trigonometric functions, their graphs, and applications, conic sections, parametric equations, and polar coordinates. Graphing calculator required. SMA 117 and SMA118 together fulfill the Mathematics and Quantitative Skills requirement.
SMA 117 or Passing score - ALEKS Placement Assessment. Fee. Liberal Arts Curriculum: Satisfies the Mathematics and Quantitative Skills requirement
SMA 120Precalculus (Mathematics)4
Credit(s) A study of exponential, logarithmic, and trigonometric functions, their graphs, and applications, conic sections, parametric equations, and polar coordinates. Graphing calculator required.
Credit(s) An introductory course in statistics for the natural and health sciences, with exposure to various modern statistical software. The course will teach such basic statistical methods for laboratory and clinical researchers as descriptive statistics, correlations, t-tests, Chi-square tests, analysis of contingency tables, one-way ANOVA, simple regressions, multiple linear regression, logistic regression, and other topics as time allows. An emphasis is placed on intuition and rigor.
SMA 129Business Statistics and Data Analys (Mathematics)3
Credit(s) This course focuses on applying statistical methods to business problems, emphasizing practical skills in Excel and Power BI. Students will explore regression analysis and predictive modeling, with an optional introduction to R- Studio and Python for those interested. AI tools like ChatGPT will be used to assist in data interpretation and decision-making.
Credit(s) Continuation of SMA 130 . The calculus of one variable with applications, parametric equations, polar coordinates, and infinite sequences and series.
Credit(s) A continuation of SMA 140 . The calculus of several variables; two- and three-dimensional vector space; vector calculus; Green’s, Gauss’, and Stokes’ Theorems and the Divergence Theorem.
SMA 207Intro. Analysis - Theoretic. Calc. (Mathematics)3
Credit(s) As a continuation of the proof-writing strategies presented in SMA 205 , this course covers the foundations of analysis and the theory of calculus, including: limits, continuity, and derivatives. The goal is to understand the ideas of infinity, estimation, error, and oscillation in the context of calculus and odd examples.
SMA 210Euclidean & NonEuclidean Geometries (Mathematics)3
Credit(s) An overview of advanced geometry, including: the postulation method, elementary and analytic geometry, and non-Euclidean geometries with emphasis on hyperbolic geometry. The goal is to understand how lines, shapes, and more are defined and work together within proofs.
Credit(s) This course will provide an understanding of the fundamental concepts of financial mathematics, and how those concepts are applied in calculating present and accumulated values for various streams of cash flows as a basis for future topics such as: reserving, valuation, pricing, asset/liability management, investment income, capital budgeting, and valuing contingent cash flows. This course assumes a reasonable introductory knowledge of probability.
Credit(s) Discrete probability including independence, conditional probability, Bernoulli trials, and Bayes’ Rule. Discrete and continuous random variables and their applications.
Credit(s) Designed to broaden the student’s background in the history of mathematics and to prepare for a professional career with various scholarly activities in mathematics.
Credit(s) A first course for Data Analytics and Actuary Science majors in applied statistics with statistical software. Topics include: least square estimates of parameters, single and multiple linear regression, hypotheses and confidence in regression models, testing of models, and appropriateness of models. An emphasis on comprehension and interpretation of data.
SMA 271Applied Statistics & Modeling (Mathematics)3
Credit(s) Advanced regression modeling for Data Analytics and Actuary Science majors with statistical software. Topics include: multiple linear regression and analysis, linear time series models, moving average, regression-based and/or ARIMA models, estimation, data analysis and forecasting with time series models, forecast errors, and confidence intervals.
Credit(s) This course covers numerical techniques for problems that lack closed-form solutions. Coverage includes error analysis, root finding, interpolation, numerical differentiation and integration, and numerical ODE methods. Emphasis is placed on accuracy, convergence, and stability. Students model real systems and evaluate the strengths and limits of numerical algorithms. Software required (see instructor).
Credit(s) The study of algebraic structures including rings, integral domains, fields, and groups with their applications to the real numbers, complex numbers, and polynomials.
SMA 325Calculus IV w/Differential Equat (Mathematics)4
Credit(s) First, second, and higher order linear differential equations with applications; linear systems of differential equations; LaPlace transforms; and boundary value problems.
Credit(s) This course explores computational linear algebra and its applications in data analysis. Students learn matrix norms, conditioning, LU/QR and other factorizations, SVD, PCA, and iterative eigenvalue algorithms. Emphasis is placed on numerical stability and interpreting results in real contexts, to develop skills in implementing algorithms, analyzing datasets, and building complete computational workflows. Software required (see instructor).
SMA 331Complex Variables and Applications (Mathematics)3
Credit(s) Complex numbers and the geometry of the complex numbers; functions of a single complex variable and the calculus of these functions; Cauchy’s theorem; residues with applications toward real integrals; analytic functions and power series; and conformal mapping.
Credit(s) A systematic approach to modeling applications from areas such as physics, chemistry, engineering, biology, and business (operations research). Dimensional analysis and scaling are introduced to prepare a model with discrete or continuous processes that may be deterministic or stochastic. A broad range of applied mathematics will be used to obtain information about the models, and these results will be compared to data to analyze the models.
Credit(s) A study of graph theory, including Euler tours, Hamiltonian cycles, spanning trees, coloring, and flows over a network. Both mathematical proofs and algorithms for detecting these features in graphs are considered.
Variable Credit(s) Through placement with cooperating area firms, the student gains practical experience and valuable insight into the future work environment. Permission Required. Repeatable for credit.
