38 courses with the subject MA, 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.
A review of topics in arithmetic to prepare for future coursework. Three developmental credits, not counted toward graduation.
A review of topics in algebra to prepare for future coursework. Three developmental credits, not counted toward graduation.
Financial management, probability theory, voting methods and apportionment, and other topics selected to improve the quantitative literacy of students. Not for mathematics majors.
Introductory exploration of topics that demonstrate the beauty and power of mathematics and mathematical thinking. Possible subjects may include (but are not limited to) concepts of infinity, alternative geometries, fractals, prime numbers, elementary number theory, and modeling with graphs.
Develops understanding of the mathematical content at the deep level required for for successful teaching at the early elementary level. The course focuses on the mathematical content through grade 4.
Develops understanding of the mathematical content of number and operations at the deep level required for successful elementary and middle school teaching.
Develops understanding of the mathematical content of patterns, functions and alegebra at the deep level required for successful elementary and middle school teaching. Credit will not be awarded for MA-180 (formerly MA-110) and MA 131.
Develops understanding of the mathematical content of geometry, measurement, probability and statistics at the deep level required for successful elementary and middle school teaching.
Descriptive techniques, elementary probability, distribution of the sample mean, confidence intervals, hypothesis testing of the means of one and two samples, linear regression and correlation. Credit will not be awarded for both MA-150 and MA-302.
Properties, graphing, and applications of linear, quadratic, polynomial, rational, exponential, and logarithmic functions; systems of linear equations.
Review of exponential and logarithmic functions; trigonometric functions, identities, and equations; systems of linear equations and inequalities; and applications.
Introductory level course covering topics of special interest to first year students. Offered only as a First Year Seminar.
Limits, continuity, differentiation and integration of functions, the Fundamental Theorem of Calculus, L'Hôpital's Rule, applications including related rates, optimization, and area. Credit willnot be given for both MA-200 and MA-202.
Techniques of integration, infinite sequences and series, power series, applications including volume and functional approximation.
Review of functions, limits, derivatives, integration and introduction to multivariate calculus. Business applications of these topics.
Logic and Proof, Set Theory, Math Induction, Relations, Functions, Sequences and Convergence, Limits and Continuity, Congruences, Introductions to Groups.
Solutions of simultaneous equations by means of matrices and determinants; vector spaces, linear transformations; also, as time permits, characteristic values, bilinear and quadratic forms.
Descriptive statistics, probability theory, combinatorics, correlation, regression and inference techniques. Credit will not be awarded for both MA-150 and MA-302.
The development, analysis, and application of continuous and discrete-time models from the physical, financial, and life sciences.
Case studies combining applied statistics, mathematical statistics, mathematics, computing, and communications to simulate work experience of a practicing statistician.
Students will strengthen and expand their knowledge of the mathematics taught in middle/high school. Specific emphasis will be placed on topics in geometry and trigonometry.
Vectors, parametric equations, polar, cylindrical and spherical coordinates, multivariable functions, properties and applications, partial derivatives, multiple integrals.
Techniques for solving first- and second-order ordinary differential equations, including Laplace transformations, numerical approximations and graphical techniques.
The course will examine various topics from combinatorics and graph theory, including enumeration, recurrence relations, generating functions, graphs and their properties (e.g., planarity, colorability), and trees. The course will have an emphasis on both proof writing and computation.
Topics from Euclidean and non-Euclidean geometry.
Financial mathematics including present and accumulated values for various streams of cash flows for future use in: reserving, valuation, pricing, asset/liability management, investment income, capital budgeting and valuing contingent cash flows. Spring only and every year.
Divisibility properties of integers, prime numbers, the Euclidean algorithm, the unique factorization theorem, congruences, Diophantine equations, number theoretic functions.
Probability concepts including: counting, conditional probability, independence, expectation and variance of univariate and multivariate distributions. This is the first course in a two-course sequence that prepares students for the first actuarial exam.
Probabilities, conditional probabilities, moment- generating functions, moments and expectations of specific parametric distributions including Poisson, geometric, hypergeometric, exponential, and normal. This is the second course in a two-course sequence that prepares students for the first actuarial exam. Spring only and other or on demand.
This course supports students as they prepare for either of the following actuarial exams: Probability Exam P or Financial Mathematics Exam FM. Focus will be on developing the required mathematical competencies, professionalism and communication of mathematical concepts consistent with actuarial industry standard, networking towards the acquisition of an internship or job in the actuarial field.
Introduction to groups, rings, and fields.
Directed study offers students, who because of unusual circumstances may be unable to register for a course when offered, the opportunity to complete an existing course with an established syllabus under the direction and with agreement from a faculty member.
Rigorous treatment of sequences, topology of the real numbers, continuity; also, as time allows, differentiation, integration.
A rigorous treatment of statistical inference including: maximum likelihood estimators, sufficiency, consistency, hypothesis tests, likelihood ratio tests and Bayesian inference.
Students complete an independent mathematics research/problem-solving project, including oral presentations and a final written paper.
Selection of topics of mutual interest to students and faculty.
Working in and for an organization where ones skills can be tested in real-world situations. Students will have an opportunity to gain experience, to increase knowledge in various functional areas, and establish important contacts with an organization. [Consent of instructor.]
Offers advanced students an opportunity to examine topics not normally covered in other mathematics courses. Geared to interests of both the student and the instructor.
Source: Worcester State University's catalog, linked per course · table learning_unit · CourseShelf publish 61
