28 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.
MATH 020College Algebra4
Hour(s) Structure of algebraic properties of real numbers, polynomials and their roots, rational expressions, exponents and radical expressions, solution of equations and inequalities, properties of functions and graphing. The course is designed to prepare first-year students for MATH 025 and MATH 070. Some familiarity with basic algebra is expected. Not included in the major; does not satisfy any Salem Signature requirements.
Hour(s) Functions, including the trigonometric functions, exponential functions and logarithmic functions, will be studied in detail. Additional topics will be included at the discretion of the instructor, including systems of equations, conic sections, and limits of functions. This course is designed to prepare the student for calculus MATH 100 . Not included in the major; does not satisfy any Salem Signature requirements.
Hour(s) A course that introduces quantitative topics and techniques that are beneficial to liberal arts students. Topics include mathematics of finance, introductory statistics, and elementary probability, along with other topics at the discretion of the instructor. Not included in the major or minor.
Hour(s) An algebra-intensive introduction to calculus with emphasis on applications to business, accounting, life sciences, and social sciences. Derivatives and integrals of polynomial, rational and exponential and logarithmic functions will be discussed. Applications include optimization, price elasticity of demand, point of diminishing returns and producer’s and consumer’s surplus. Other applications to physical sciences may be included at the discretion of the instructor. Not included in the mathematics major. Students may not receive credit for both MATH 070 and MATH 100 .
Hour(s) Vectors and vector algebra, lines and planes in space, surfaces in space, partial differentiation, properties of the gradient, optimization of multivariate functions, the method of Lagrange multipliers, multiple integrals, vector fields, line and surface integrals, Green’s Theorem, the Divergence Theorem and Stokes’ Theorem.
Hour(s) This course presents statistical inference with a focus on statistical computing in the R environment. Topics include: graphical representations of data; measures of central tendency and dispersion; binomial, normal, Student’s t, chi2- and F-distributions as they apply to inferential statistics; sampling methods; linear and multi-linear regression, correlation; hypothesis testing; analysis of variance. Three lectures and a two-hour laboratory per week.
Hour(s) Vector methods in geometry, real vector spaces, systems of linear equations, linear trans-formations and matrices, equivalence of matrices and determinants.
Hour(s) Practice in writing and understanding mathematical proofs. Topics include symbolic logic, number theory, graph theory, algebra of sets, relations, functions, countability, and mathematical induction.
Hour(s) A calculus-based introduction to probability and statistics. Topics include probability, random variables, probability distributions (discrete and continuous), joint probability distributions (discrete and continuous), covariance, statistical inference (both estimation and hypthesis testing), confidence intervals of distribution parameters, sample size determinations, analysis of variance, method of least squares, and correlation.
Hour(s) Solutions of equations in one variable, interpolation and polynomial approximation, numerical differentiation and integration, solutions of linear systems and initial value problems for ordinary differential equations.
Hour(s) Independent study under the guidance of a faculty advisor. Open to students with a 2.0 cumulative average and permission of the chair of department. Independent study may take the form of readings, research, conference, project and/or field experience. Independent study may be taken for a maximum total of twelve semester hours, no more than seven semester hours in any term.
MATH 202College Geometry (3 hrs) An axiomatic approach to the foundations of finite geometries
Euclidean, Hyperbolic and Elliptic geometries, transformational geometry in the plane, convexity and an introduction to topology. Additional topics, including graph theory, knot theory, fractal theory, projective geometry and Euclidean constructions, may also be included at the discretion of the instructor. Prerequisite: MATH 101.
Hour(s) Basic Theory of ordinary differential equations with applications; linear differential equations and linear systems; numerical methods, solutions in series, Laplace transforms, existence and uniqueness theorems.
Hour(s) A theoretical and applied introduction to modern algebra. Topics include: groups, subgroups, quotient groups, isomorphism, rings, integral domains, fields, ideals, polynomial rings, and applications in cryptography.
Hour(s) This course is an introduction to the methods of statistical analysis appropriate to categorical and other data when no assumptions are or can be made about the parent distribution of the data. The Wilcoxon Rank-Sum test and other rank tests, goodness of fit tests and signed tests will be discussed. Data sets will be included from marketing, sociology, biology, psychology and education. Computer usage required, though students may use whatever statistical computing environment with which they are familiar.
BIOL 205 or BUAD 240 or ECON 320 or MATH 107 or MATH 132
MATH 250History of Mathematics (3 hrs) A general survey of the history and development of mathematical
ideas and thought. Topics include Egyptian, Babylonian, Hindu-Indian, ancient Greek and Arabic mathematics, as well as mathematics from outside Western tradition. The birth of Calculus and selected topics from the 19th and 20th centuries will be included. Biographical and historical content will be supplemented by the study and application of techniques and procedures used in earlier eras. Thus, this will be a “working” course in which students will focus on doing sample problems in ways that illustrate important developments in mathematics. Prerequisite: MATH 101.
Hour(s) An opportunity to use the knowledge and skills the student has learned in coursework to solve problems in a real work setting; the apprenticeship aspect of the internship implies that the student has some base of knowledge and will increase her knowledge and skills by direct contact with an experienced, knowledgeable mentor. Open to sophomores, juniors and seniors with a 2.0 cumulative average; maximum of four semester hours per term; admission by application only.
Hour(s) Investigation of a topic, issue application or problem in mathematics. Topics might include: mathematical modeling, dynamical systems, graph theory, combinatorics, biomathematics, or another topic chosen by the instructor.
Hour(s) Advanced independent study under the guidance of a faculty advisor. Normally open to juniors and seniors with a 3.5 average in mathematics. Subject to the approval of the chair of the department. Honors work may be taken for a maximum of eight semester hours.
Hour(s) A rigorous treatment of select topics from the foundations of single variable calculus, including limits, continuity, sequences, differentiation, and Riemann integration.
Hour(s) Formally writing, giving oral presentations, and reading current mathematics literature on select topics that integrate a variety of areas of undergraduate mathematics.
