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Course Criteria
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1.00 Credits
Retired August 31, 2006. Offers additional introductory academic experience by exploring course-related topics in greater depth with the professor. Available only to courses approved by the University Honors Program.
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1.00 Credits
Retired August 31, 2006. Offers additional introductory academic experience by exploring course-related topics in greater depth with the professor. Available only to courses approved by the University Honors Program.
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4.00 Credits
Provides an introduction to basic statistical techniques and the reasoning behind each statistical procedures. Covers appropriate statistical data analysis methods for applications in health and social sciences. Also examines a statistical package such as SPSS or SAS to implement the data analysis on computer. Topics include descriptive statistics, elementary probability theory, parameter estimation, confidence intervals, hypothesis testing, nonparametric inference, and analysis of variance and regression with a minimum of mathematical derivations.
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4.00 Credits
Retired August 31, 2004. Presents an introduction to probability and probabilistic reasoning, sample spaces, events, and axioms. Studies conditional probability and Bayes law, independence, random variables and their distributions, distributions, expected value, and variance. Covers the law of large numbers, and the central limit theorem. Introduces statistical inference: confidence intervals, hypothesis testing with levels of significance, and Bayesian statistics.
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1.00 Credits
Intended for math majors who have completed their first co-op assignment. Examines the mathematical problems encountered on the job, and relates them to courses already taken and to the student's future program. Faculty members and other guests contribute to the discussion. Grades are determined by the student's participation.
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4.00 Credits
Covers interesting and significant developments in pure and applied mathematics, from ancient times to the present. Fundamental mathematical ideas have a power and utility that are undeniable and a beauty and clarity that can be inspirational. Selected topics may include: prime and irrational numbers, different infinities and different geometries, map coloring, and famous unsolved and recently solved problems. Provides students with an opportunity for hands-on experience actually doing some of the mathematics discussed and to research topics in the library and on the Web.
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4.00 Credits
Extends the techniques of calculus to functions of several variables; introduces vector fields and vector calculus in two and three dimensions. Topics include lines and planes, 3D graphing, partial derivatives, the gradient, tangent planes and local linearization, optimization, multiple integrals, line and surface integrals, the divergence theorem, and theorems of Green and Stokes with applications to science and engineering and several computer lab projects.
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0.00 Credits
Provides small-group discussion format to cover material in MTH U341.
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4.00 Credits
Studies ordinary differential equations, their applications, and techniques for solving them including numerical methods (through computer labs using MS Excel and MATLAB), Laplace transforms, and linear algebra. Topics include linear and nonlinear first- and second-order equations and applications include electrical and mechanical systems, forced oscillation, and resonance. Topics from linear algebra, such as matrices, row-reduction, vector spaces, and eigenvalues/eigenvectors, are developed and applied to systems of differential equations.
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0.00 Credits
Provides small-group discussion format to cover material in MTH U343.
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