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Course Criteria
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3.00 Credits
3 credit hours Pre- or co-requisite: Mathematics 299 Topics from Euclidean and Non-Euclidean Geometry both from the synthetic and the analytical points of view. This course is designed specifically for secondary teachers of mathematics.
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3.00 Credits
3 credit hours Prerequisite: Mathematics 299 An introduction to abstract algebra. Topics include groups, rings, integral domains, and fields.
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3.00 Credits
3 credit hours Prerequisite: Mathematics 302 or the permission of the instructor Topics will be selected from the areas of groups, rings, fields, vector spaces, and transformations.
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3.00 Credits
3 credit hours Prerequisites: Level I Screening, Junior Standing, and Statistics 120 | Co-Requisite: Education 303 Students develop an understanding of essential mathematical knowledge that integrates content and instructional strategies appropriate for elementary grades K-6 and middle grades 4-8. Content areas include mathematical processes, number/operations, and algebra. Peer teaching, micro-teaching, and field observations are integral components.
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3.00 Credits
3 credit hours Prerequisites: Mathematics 307 and Education 303 or permission of the division chairs of Mathematics/Computer Science and Behavioral Sciences A continuation of Mathematics 307. Content areas include geometry, measurement, and data analysis and probability. Peer teaching, microteaching, and field observations are integral components.
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3.00 Credits
3 credit hours Prerequisites: Mathematics 235 and 299 An introduction to Real Analysis. Topics include sequences, the theory of limits, continuity, differentiation and integration.
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3.00 Credits
3 credit hours Prerequisite: Mathematics 315 or permission of the instructor A continuation of Mathematics 315. Topics include the theory of Riemann integration, infinite series, sequences and series of functions, and power series.
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3.00 Credits
3 credit hours Prerequisites: Statistics 120 and Mathematics 299 and junior standing; or Mathematics 125 and permission of the instructor An introduction to probability, including counting methods, discrete and continuous probability distributions and their properties, and sampling distributions.
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3.00 Credits
3 credit hours Prerequisite: Mathematics 321 or permission of instructor A continuation of Mathematics 321. Topics include point estimation, including maximum likelihood estimation and methods of moments, confidence intervals, tests of hypotheses, and regression.
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3.00 Credits
3 credit hours Prerequisites: Mathematics 225; and Mathematics 299 or permission of the instructor. An introduction to the techniques of obtaining numerical solutions on a computer. Topics include roots of equations, numerical integration, least squares, simultaneous equations, and curve fitting.
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