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Course Criteria
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3.00 Credits
Introduction to the theory of probability and its applications, counting techniques, sample spaces, random variables and their distributions, mathematical expectation, moment generating functions, binomial, Poisson, and normal distributions, Central Limit Theorem.
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3.00 Credits
A continuation of Math 4100 with an introduction to the theories of point and interval estimation, hypothesis testing, regression and correlation analysis, goodness of fit, chi-square, t and F distributions.
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3.00 Credits
Vector spaces, linear transformations, eigenvalue and similarity transformations, orthogonal and unitary transformations, normal matrices, Jordan form. Prerequisites: Mathematics 212, 300 with a minimum grades of C.
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3.00 Credits
Intermediate applied statistical analysis and model building. Covers One and Two Factor Analysis of Variance, Simple and Multiple Regression and Correlation, and Time Series Analysis. This course is recommended for students planning to take actuarial exams.
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3.00 Credits
Introduction to linear programming, duality, transportation and assignment problems, integer programming. Prerequisites: Computer Science 118 or 150, Mathematics 212 with a minimum grade of C, or approval of the Mathematics Department Head.
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3.00 Credits
Intermediate applied statistical analysis and model building. Covers One and Two Factor Analysis of Variance, Simple and Multiple Regression and Correlation, and Time Series Analysis. This course is recommended for students planning to take actuarial exams. Prerequisite: Mathematics 307 or 407 or Engineering 322 with a minimum grade of C, or approval of the Mathematics Department Head.
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3.00 Credits
Vector spaces, linear transformations, eigenvalue and similarity transformations, orthogonal and unitary transformations, normal matrices, Jordan form. Prerequisites: MATH 2200, MATH 3000 with a minimum grades of C or department head approval.
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3.00 Credits
Introductory set theory, topologies and topological spaces, continuous mappings, compactness, connectedness, separation axioms and metric spaces. Prerequisite: Mathematics 300 with a minimum grade of C.
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3.00 Credits
Network flows, Markov chains and applications, queuing theory and applications, inventory theory, decision theory, and games. Prerequisites: Computer Science 118 or 150 or equivalent, Mathematics 307 or 407 with minimum grades of C, or approval of the Mathematics Department Head.
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3.00 Credits
A study of special topics from advanced algebra, various algebraic structures, and the applications of algebra. On demand.
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