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Course Criteria
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3.00 Credits
The second of two semesters in a fundamental of mathematics sequence for education majors except Secondary Mathematics Education and Comprehensive Science. Probability, statistics, algebra, measurement, geometry, and logic are the mathematics concepts of focus for this course. Prerequisite: MAT 2303
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3.00 Credits
This course presents systems of linear equations and matrices, determinants, vector spaces, linear transformations and their matrix representations, Eigen values, eigenvectors, and some applications. Prerequisite: MAT 2317.
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3.00 Credits
This course is the first of four sequential semester courses which addresses calculus for mathematics, science and engineering majors. The course examines functions, graphs, limits and derivatives, and rules of differentiation. This includes differentiation of polynomial, rational, trigonometric, logarithmic, exponential functions, application of differentiation and the use of computational tools. Prerequisite: MAT 1313 or advanced placement. This course will not count with MAT 2333.
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3.00 Credits
This course is the second of four sequential semester courses which addresses calculus for mathematics, science and engineering majors. The course examines techniques and applications of integral calculus, improper integrals, elementary differential equations, and the use of computational tools. Prerequisite: MAT 2317.
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3.00 Credits
This course is designed for mathematics and mathematics education majors as an introduction to mathematical principles and reasoning. It gives an introduction to the discipline of mathematics emphasizing deductive arguments and the development of analytical skills needed in understanding and building mathematical arguments. The content will include an introduction to logic and methods of proof and takes a look at functions and the ?????definition of continuity. The course also examines the algebraic and topological properties of R and introduces metric spaces. Prerequisite: MAT 2317.
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3.00 Credits
Topics include mathematical logic, Boolean algebra and computer logic, proof techniques, set theory, combinatorics, finite state machines, and complexity of algorithms. Prerequisite: MAT 1313.
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2.00 - 6.00 Credits
This course includes a review of topics covered in core mathematics courses for majors. The course provides the opportunity for students preparing for licensure and proficiency examinations to review course content and to improve test-taking skills. Credit for this course is not counted towards the total hours needed for graduation. The course may be taken more than once. Prerequisites: MAT 2316, MAT 3412, MAT 3341, or approval from the instructor. Grade: Pass/Fail.
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3.00 Credits
This course is designed to give an introduction to set theory and probability theory and to the concept of random variables, both discrete and continuous. Consideration is given to a discussion of several standard types of distributions. Prerequisites: MAT 2318.
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3.00 Credits
This course is a continuation of MAT 3310. Treatment is given to random sampling and classical statistical inference, especially point and interval estimation, tests of hypotheses, general linear models, Bayesian methods, and an introduction to least squares. Prerequisite: MAT 3310, MAT 3317.
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3.00 Credits
This course covers topics in both probability and statistics including: probability function and its properties, discrete and continuous random variables and their probability distributions, data description and their presentation, hypothesis testing, decision making and experimental design. Data will be used from the areas of biology, psychology and neuroscience with appropriate software. Use of computer is a requirement. This course is for sophomore/junior level students with major or minor in an area of life science. Prerequisite: MAT 1312 and Bio 1315 (Introduction to Biotechnology).
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