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Course Criteria
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4.00 Credits
Covers limits, continuity, differentiation, applications of derivatives, integration, and integration by substitution.
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4.00 Credits
Covers integration techniques and applications, parametric and polar curves, sequences and infinite series.
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4.00 Credits
Covers vectors in two and three dimensional space, partial derivatives, multiple integration and vector calculus.
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4.00 Credits
This course is designed for majors in computer science. It covers basic aspects of discrete mathematics that are fundamental to digital computing. Topics include sets and relations, numbers and sequences, mathematical logic, elementary combinatorics, graph theory, and related algorithms.
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4.00 Credits
Covers linear equations, matrices and determinants. Vector spaces and linear transformations. Inner products and eigenvalues. Emphasizes computational aspects of linear algebra and applications.
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4.00 Credits
This course provides the basic understanding of descriptive and inferential statistics, with applications in various disciplines. It gives the insight into how a statistician gathers, summarizes, and draws conclusions from real life data.. This course covers the basics of statistical testing, regression analysis, experimental design, analysis of variance, and use of statistical software (especially R) to analyze data.
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4.00 Credits
This course teaches programming fundamentals such as program design and modularity, with an emphasis on mathematical applications. Mathematical fields from which problems will be drawn include number theory, linear algebra, statistics, differential equations, multivariable calculus and modeling.
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4.00 Credits
Prerequisite: MAT 262 with a grade of "C" or higher. Covers proof techniques and their applications to various branches of mathematics, basic set theory, properties of number systems, and basic history of mathematics. (*spring semester)
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4.00 Credits
No course description available.
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4.00 Credits
Prerequisite: MAT 261 with a grade of "C" or higher. Covers sets, induction, algorithms, recursion, matrices, relations, functions, digraphs, partially ordered sets, lattices, Boolean algebra, switching circuits, trees and combinatorial analysis. (*once every two years)
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