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Course Criteria
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3.00 Credits
Prerequisite: "C" or better grade in MATH 1113 or MATH 2590 . An elementary introduction to topics and methods in discrete mathematics motivated by a series of real-world problems. Topics include matrices, graphs, counting and recursion.
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1.00 Credits
Prerequisite: MATH 3322 and CSIS 3401. This course will give students the opportunity to apply the theoretical work of Discrete Modeling I to concrete problems. The computer will be used to support working with large examples. Examples will cover combinatorics, discrete functions, and graph theory.
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3.00 Credits
This course is designed to introduce the student to probability and both descriptive and inferential statistics. Topics include: random variables and probability distributions, expectation and variance of random variables, properties of estimators, exploratory data techniques, confidence intervals, hypothesis tests for population mean and proportion, Statistical Process Control, chi-square goodness of fit test, and contingency table analysis. The MINITAB statistical software package is used.
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3.00 Credits
Prerequisite: "C" or better grade in MATH 1190 . Introduction to Mathematical Systems is a course specifically designed to introduce students to the study of mathematics from a mathematical sys-tems approach. A mathematical system consisting of undefined terms, axioms and theorems will be studied. The major emphasis of this class will be on the development of skills in communicating and justifying mathematical ideas and conclu-sions. Mathematical systems studied will vary according to the instructor and may be chosen from sets, number systems and/or geometry.
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3.00 Credits
Prerequisite: "C" or better grade in MATH 3390 . This course develops geometry as an axiomatic mathematical system and approaches it from syn-thetic, transformational, and algebraic perspectives, including higher dimensions. Various geometries are studied including finite, infinite, projective, Euclidean and Non-Euclidean. Includes a research project on a topic which would be appropriate for any entry-level school geometry student.
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1.00 - 3.00 Credits
Prerequisite: Approval of coordinator of coop-erative education/internship. A supervised work experience program for a minimum of two academic semesters at a site in business, industry or government. For sopho-more, junior or senior level students who wish to obtain successive on-the-job experience in conjunction with their academic training.
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1.00 - 9.00 Credits
Prerequisite: Approval of major area committee and department chair. A supervised, credit-earning work experience of one academic semester with a previously approved business firm, private agency, or gov-ernment agency.
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3.00 Credits
Prerequisite: "C" or better grade in MATH 1190 and MATH 3390 . Students ' understanding of the mathematics taught in middle school will be deepened and broadened through the study of key topics including algebra, linear functions, exponential functions, quadratic functions, number theory, discrete mathematics, and mathematical model-ing. This course is designed so that students can revisit key ideas in school mathematics, bringing with them the skills and understandings of col-lege course work in mathematics, deepening and broadening their understanding, and connecting more advanced ideas to the topics they will teach in middle school and high school.
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3.00 Credits
Topics in this course include real vector spaces and their subspaces; inner product spaces, orthonormal bases, Gram-Schmidt process; best approximation; eigenvalues and eigenvectors; symmetric, positive definite, and similar matrices; matrices of general linear transformations, and various applications.
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3.00 Credits
Prerequisite: "C" or better grade in MATH 3322 and CSIS 2301 . This course continues the study of discrete math-ematical modeling begun in Discrete Modeling I. Topics include generating functions, design theory, and networks. Combinatorial algorithms will be emphasized and some programming will be required.
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