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Course Criteria
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1.00 Credits
Topics chosen from such areas of mathematics as geometry, history of mathematics, and number theory.
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3.00 Credits
Logic, sets, functions, algorithms, counting, graphs, and selected topics.
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3.00 Credits
Theory and application of ordinary differential equations.
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3.00 Credits
Frequency distributions, statistical constants, curve fitting, correlation and sampling, and basic laws of probability.
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3.00 Credits
Continuation of MAT 305 for the further study of various standard probability distributions, moments, moment generating functions, sampling theory, and statistical inference.
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3.00 Credits
Advanced topics in Euclidean geometry; introduction to non-Euclidean geometries.
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3.00 Credits
Vectors, vector spaces, matrices and determinants, systems of linear equations, and linear transformations.
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3.00 Credits
Mathematics for Business and Economics is an introduction to the basic mathematical concepts used in business and economics. Topics include functions, differential calculus, optimization, statistics, and finance. Applications to business are emphasized throughout the course.
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1.00 Credits
Topics chosen from such areas of mathematics as number theory, probability, topology, graph theory, mathematical modeling, mathematics internship, and others. Course can be taken more than once.
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3.00 Credits
Application of quantitative methods such as linear and dynamic programming, decision theory, simulation, queuing theory, and network analysis; used to solve problems in the areas of mathematics, business, and computer science.
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