47 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 050Developmental Mathematics Credits: 33
Studies real operations, factoring, rational expressions, exponents, roots, radicals, quadratic equations, simultaneous equations, word problems, formula manipulations. Emphasis on drill in computational algebra. Students exempted from, or placed in, this on the basis of an examination. Open only to students with level 1 or level 2 mathematics placement. Students must earn a C or better in MAT 050 to be eligible to take a college-level mathematics class. Developmental course credits do not count toward the total number of credits required for graduation.
This course studies arithmetic for both integers and fractions, exponents, roots, linear and quadratic equations, factoring, rational expressions, modeling problems, and formula manipulations. Emphasis is on drill in computational algebra. The purpose of this course is to prepare students in math-intensive majors for further studies in college algebra, trigonometry, or calculus. Not open to students who have a math placement level of 4 or higher (whether by testing or successful completion of prior coursework).
MATH 105Mathematics for Liberal Studies Credits: 33
Examines mathematical structures and applications in a way designed to emphasize the creative and cultural aspects of mathematics. Topics may include voting systems, fair division problems, game theory, coding, networks, critical paths, linear programming, symmetry and patterns. Not open to math majors.
Math placement level of 2 or Sophomore standing and Math placement level of 1. Category: Foundations - Q
MATH 107Mathematical Models Applied to Money Credits: 33
An introductory level course designed to cover deriving mathematical formulas arising in Finance and Economics. Mathematical models are constructed and used to calculate simple and compound interest, annuities and payments calculations, amortization, sinking funds, perpetuities, installment buying, calculation of premiums of life annuities and life insurance, and the time value of money. Not open to math majors.
PLML >=2 or passing grade in MATH 100 Category: Foundations - Q
MATH 110Fundamentals of Mathematics I Credits: 33
Designed to satisfy the mathematical needs of students in elementary education and related curricula. Topics covered include a study of problem solving strategies, mathematical reasoning, elementary set theory, number systems other than base 10, elementary number theory, and an axiomatic development of the real number system. Students solve mathematical problems using hands-on materials and electronic technologies. Emphasizes goals and procedures addressed in current state and national standards for school mathematics.
MATH 111Fundamentals of Mathematics II Credits: 33
Designed to strengthen mathematical content knowledge of students majoring in elementary education. Focus on topics such as proportional reasoning, data analysis and probability, geometry, measurement, and algebraic reasoning. Students solve mathematical problems using hands-on materials and electronic technologies. Emphasizes goals and procedures addressed in current state and national standards for school mathematics.
MATH 110 or Math Placement Level 5. Category: Foundations - Q
MATH 117Applied Statistics Credits: 33
A first course in the concepts and methods of statistics with illustrations from across the humanities and the social, behavioral, and biological sciences. Specific topics include numerical and graphical descriptions of data, association between two variables, normal distribution, correlation and simple linear regression, and inference methods such as confidence intervals and hypothesis tests for one sample mean and one sample proportion, chi-squared test of independence, and ANOVA. Recommended as a general education statistics course for students majoring in social and life sciences, but not limited to students in those majors. Not open to students who have passed SCMG 200 , MATH 217 or MATH 375 ; or math majors.
C or better in MATH 100 or a Math placement level of 4 Category: Foundations - Q
MATH 175Precalculus Credits: 33
Designed to prepare students for MATH 211 . Provides intense study of the topics which are fundamental to the study of calculus. Emphasis placed on functions and their graphs with special attention to polynomial, rational, exponential, logarithmic and trigonometric functions, and analytic trigonometry. Upon completion, students should be able to solve practical problems and use appropriate models for analysis and prediction. Not open to students who have successfully (C or better) completed MATH 211 .
MATH 140 with minimum grade of C or math placement level of 5 Category: Foundations - Q
MATH 181Applied Calculus Credits: 33
Topics include differentiation and integration of a single variable functions, an introduction to multi-variable functions and partial differentiation, and applications including graphing and simple optimization. Course not open to students who have successfully (C or better) completed MATH 211 .
MATH 140 with minimum grade of C or MATH 175 with minimum grade of C or math placement level of 5 Category: Foundations - Q
MATH 185First Year Mathematics Seminar Credits: 11
This course will provide a cohort experience for new majors in the mathematics department and will include exploration of diverse areas of mathematics and related fields; focused building of problem-solving skills; and demonstrated mastery of pre-college mathematics.
Covers theories of learning mathematics, state standards, and educational issues related to teaching and learning mathematics. Students will spend an average of 2 to 3 hours each week in a public-school mathematics classroom - half the semester in a middle school and the second half in a high school; will include urban and suburban or rural locations with students having diverse learning needs. Activities in the field will include tutoring, interviewing, and helping the cooperating teacher with a variety of classroom tasks.
Introduction to study of differential and integral calculus from algebraic, numerical, and graphical points of view. Concept of limit and applications of derivatives will be covered.
Topics include exploratory data analysis, basic probability, the Central Limit Theorem, confidence intervals, hypothesis testing, linear regression, experimental design, analysis of variance and goodness of fit tests. A statistical software package will be utilized throughout course. This class is NOT OPEN to students who have successfully passed SCMG 200 or MATH 375 .
MATH 175 Precalculus or Math placement level of 5 Category: Foundations - Q
MATH 219Data Science I Credits: 33
This is the first semester of a two-semester sequence in Data Science. Using real-world examples of wide interest and a popular programming language such as R or Python, we introduce methods for key facets of a data-driven investigation. These include obtaining data from a variety of sources, wrangling the data to get a manageable data set, exploratory data analysis to generate hypotheses and intuition about the data, and communication of results through interpretable summaries that are both transparent and reproducible.
( CMSC 104 or CMSC 110 or ITAN 240 or ENGR 110 or ENGR 120 or SWEN 100 ) and ( MATH 117 with minimum grade of C or MATH 217 with minimum grade of C or SCMG 200 with minimum grade of C or MATH 375 with a minimum grade of C) Category: Natural World & Technology - T
MATH 225Discrete Mathematics Credits: 44
Study of topics usually associated with analysis of discrete and/or finite mathematical models. Topics from logic, set theory, Boolean algebra, mathematical proof, recursion, induction, combinatorics, discrete probability, matrices and graph theory covered.
Math placement level of 4 or MATH 140 or MATH 175 or MATH 211 or MATH 181 Category: Citizenship & Responsibility - R
MATH 317Statistics II Credits: 33
Study of statistical methods and their application to various data sets. The entire statistical process of data collection, fitting data to a model, analysis of the model, verification of the model, and inference will be covered. Topics include non-parametric statistics, multiple linear regression, ANOVA, experimental designs, categorical data analysis, logistic regression, time series, and survival analysis. Examples taken from a variety of disciplines. Concepts reinforced through class projects. A statistical software package will be utilized throughout the course.
MATH 217 with minimum grade of C or MATH 375 with a minimum grade of C.
MATH 318Elementary Linear Algebra Credits: 33
Introduction to the study of matrices, linear systems, determinants, eigenvalues, and the geometry of linear operators. Topics from Euclidean n-space include linear transformations, linear independence, span, bases, inner product, and vector spaces. An introduction to structural proof techniques will be a part of the key concepts for the course.
MATH 212 with minimum grade of C or MATH 225 with minimum grade of C
MATH 319Data Science II Credits: 33
This is the second semester of a two-semester sequence in Data Science. Using real-world examples of wide interest and a popular programming language such as R or Python, we introduce methods for key facets of a data-driven investigation. These may include using statistical inference to infer properties of a population, using regression analysis to estimate the relationship among variables, using machine learning to make predictions, and creating interactive data products.
Study of first order differential equations. Topics include modeling with differential equations, initial value problems, first and second order linear differential equations, systems of linear differential equations and numerical methods, as well as material chosen from the following topics: Laplace transforms, advanced numerical methods, and partial differential equations.
Study of construction of mathematical models to solve real world problems. Entire modeling process from construction of the model, fitting data to the model, analysis, and verification of the model covered. Both continuous and discrete models examined. Examples taken from a variety of disciplines.
Rigorous treatment of foundations of Euclidean geometry and an introduction to spherical and hyperbolic geometries. Topics may include transformational geometry, coordinate geometry, congruence, similarity and constructions. Also provides an historical development of attempts made through the centuries to clarify and expand upon the geometric axioms.
MATH 375Probability and Statistics for Engineers Credits: 44
Course topics will include basic probability rules, conditional probability and independence, Bayes’ rule, discrete and continuous random variables, joint distributions, expectation and variance, probability distributions to include binomial, geometric, hypergeometric, Poisson, Gaussian, exponential, lognormal, t, F, and Chi-square, correlation and covariance, Central Limit Theorem and sampling distributions, simple linear regression, and inference procedures for means and proportions. A statistical software package will be used throughout the course. This class is NOT OPEN to students who have successfully passed MATH 217 .
MATH 399Independent Study in Mathematics Credits: 33
Independent study affords students the opportunity to engage in independent study related to their major field, a supporting area, or specialized interest.
Focuses on the development of mathematical ideas relevant to K-12 mathematics. Some examples include episodes in the development of number systems, algebra, geometry, trigonometry, number theory, and analytic geometry. Some time spent on multicultural issues, sometimes referred to as ‘ethnomathematics’. Must be at least junior standing to enroll.
MATH 212 - Calculus II and junior level standing Graduate Credit: This course is available for graduate credit.
MATH 410Numerical Analysis Credits: 33
Primarily methods of numerical approximation to the value of functions, polynomials, and systems of equations. Topics include accuracy of approximate calculations, interpolation and interpolating polynomials, solution of algebraic and transcendental equations. Numerical solution of simultaneous linear and nonlinear equations, principle of least squares, difference equations, and quadrature formulas are studied.
MATH 212 and ( CMSC 110 or SWEN 100 ) Graduate Credit: This course is available for graduate credit.
MATH 421Number Theory and Cryptography Credits: 33
Introduction to a selection of topics from the related fields of Number Theory and Cryptography. Topics may include congruence arithmetic, primitive roots, quadratic residues, perfect numbers, Pythagorean triples, sums of squares, Fermat’s Last Theorem, and primality testing, various substitution ciphers including affine, Vigenere, and Hill ciphers and the RSA public key encryption system with several variations. Algorithms for each encryption scheme discussed will be introduced and implemented.
MATH 320 Graduate Credit: This course is available for graduate credit.
MATH 422Partial Differential Equations Credits: 33
Introduction to Partial Differential Equations, a fundamental branch of applied mathematics. Three classical equations from mathematical physics are discussed: the wave equation, the heat equation and Laplace’s equation. Techniques which include separation of variables, Fourier series and fundamental solutions are introduced to address these equations. An introduction to numerical methods is also included.
MATH 213 and MATH 322 Graduate Credit: This course is available for graduate credit.
MATH 425Advanced Algebraic Structures Credits: 33
Detailed study of one or more of the higher level algebraic structures such as groups, rings, fields, or abstract vector spaces. Emphasis on structure theorems such as the fundamental theorem of group homomorphisms and uses the sophistication developed in MATH 320 .
MATH 318 and MATH 320 Graduate Credit: This course is available for graduate credit.
MATH 430Complex Analysis Credits: 33
Introductory course in the theory of functions of a complex variable. Topics include complex numbers, analytic functions, contour integration, Cauchy’s Theorem, and infinite series. Methods of a logical proof are developed and used throughout.
MATH 213 and MATH 320 Graduate Credit: This course is available for graduate credit.
MATH 441Real Analysis I Credits: 33
Designed to give a fundamental understanding of the concepts used in elementary calculus. Methods of a logical proof are developed and used throughout. Topics include real numbers, sequences, limits, continuity, derivatives and the Riemann integral.
MATH 212 and MATH 320 Graduate Credit: This course is available for graduate credit.
MATH 450Combinatorics Credits: 33
Concerned with computing within discrete mathematical structures and combinatorial problem solving. Topics include sets and graphs; counting and enumeration techniques including recurrence relations and generating functions; and graph theory algorithms.
MATH 225 and junior standing Graduate Credit: This course is available for graduate credit.
MATH 476Probability Credits: 33
In-depth development of probability and distribution theory. Topics include counting techniques, Bayes’ Theorem, random variables, moment-generating functions, univariate and multivariate probability distributions, and the Central Limit Theorem.
MATH 213 Graduate Credit: This course is available for graduate credit.
MATH 483Math Theory of Interest Credits: 33
Mathematical models are constructed for Theory of Interest, primarily time value of money. The models are then applied to solve mathematical problems arising in topics including simple and compound interest, annuities, bonds, amortization and sinking funds, yield rates, and duration.
MATH 212 or permission of instructor Graduate Credit: This class is not available for graduate credit.
MATH 486Mathematical Statistics Credits: 33
Continuation of MATH 476 . Topics include transformations of random variables, order statistics, convergence in distribution, point and interval estimation, likelihood ratio tests, hypothesis testing, linear models, analysis of enumerative data, and analysis of variance.
MATH 476 with minimum grade of C Graduate Credit: This course is available for graduate credit.
MATH 490Selected Topics in Mathematics Credits: 33
Opportunity to offer experimental courses at the senior level in areas of mathematics not covered by regular courses. Topics such as foundations of mathematics, number theory, graph theory, cryptography, and advanced applications of mathematics are appropriate at this level.
Opportunity to offer experimental courses at the senior level of mathematics not covered regularly in the applied mathematics curriculum. Topics such as Mathematical Biology, Linear Programming, Computational Mathematics and Computational Modeling are appropriate at this level.
MATH 212 and MATH 318 Graduate Credit: This course is available for graduate credit.
MATH 492Selected Topics in Statistics Credits: 33
Opportunity to offer experimental courses at the senior level in areas of statistics not covered by regular courses. Topics such as time series analysis, categorical data analysis, Bayesian data analysis, biostatistics, and computational statistics are appropriate at this level.
MATH 217 Graduate Credit: This course is not available for graduate credit.
MATH 499Independent Study in Mathematics Credits: 33
Independent study affords students the opportunity to engage in independent study related to their major field, a supporting area, or specialized interest.
