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Course Criteria
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4.00 Credits
Topics from set algebra, elementary logic, geometry, probability, statistics and mathematics history. Does not apply toward any mathematics or computer science program. Prerequisite: MATH 121 or MATH 201.
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4.00 Credits
Matrix algebra and determinants, systems of linear equations; introduction to relations, digraphs, and trees. Prerequisite: MATH 132 or consent of the instructor.
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4.00 Credits
Ordinary differential equations: operator methods, variation of parameters, series solutions, introduction to numerical methods. Fourier series. Prerequisite: MATH 133, 231; or consent of the instructor.
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4.00 Credits
Vector fields, vector calculus, divergence, and theorems of Green and Stokes. Prerequisite: MATH 133 or consent of the instructor.
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4.00 Credits
Basic concepts of probability, descriptive statistics, normal distribution, hypothesis testing applied to means, power, chisquare, introduction to correlation and regression, and simple analysis of variance. Does not apply toward any mathematics program or the Bachelor of Science in Computer Science. Not open to students who previously earned credit in BUAD 341. Prerequisite: MATH 121 or consent of instructor.
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4.00 Credits
Correlation and regression, alternate correlation techniques, analysis of variance, multiple comparisons among treatment means, factorial analysis of variance, repeated-measures designs, multiple regression. Use of a computer statistical package. Prerequisite: MATH 251 or consent of instructor.
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4.00 Credits
Review of arithmetic and elementary algebra including linear and quadratic equations. Topics chosen from: arithmetic and geometric progressions and depreciations; interest and dated values; combinatorics and introduction to probability; and introduction to descriptive statistics. Does not apply toward any mathematics or computer science program. Prerequisite: Admittance to EADP and appropriate score on placement examination.
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4.00 Credits
A continuation of MATH 261. Does not apply toward any mathematics or computer science program. Prerequisite: Admittance to EADP . and MATH 261
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4.00 Credits
Introduction to the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, proof techniques, Boolean algebra, fundamentals of counting, elementary number theory, recurrence relations, graphs, trees, and discrete probability. Prerequisite: CPTG 121 or MATH 131.
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1.00 - 4.00 Credits
May be repeated for additional credit with consent of the department chair. Prerequisite: Consent of the department chair.
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