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Course Criteria
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3.00 Credits
Probability, random variables, data analysis, estimation techniques, hypothesis tests, correlation and regression, analysis of variance, contingency tables, exploratory techniques. Not for credit after MAT 216. Prerequisite: MAT 109. Not for credit toward the mathematics major or minor. Praton
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3.00 Credits
This course uses mathematical perspective to analyze works of visual art (perspective drawing and perspective geometry). The first topics of this course will use 1-, 2-, and 3-point perspective both to create realistic pictures and to study optical illusions. From there we will explore other dimensions: what does a 4-dimensional cube look like What does a 1.638-dimensional object look like The course will finish with fractals and chaos theory, which we will use to draw textures of natural objects such as ferns and clouds. Crannell
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3.00 Credits
A course designed as a transition from calculus to advanced mathematics courses. Emphasis on developing conjectures, experimentation, writing proofs, and generalization. Topics will be chosen from number theory, combinatorics and graph theory, polynomials, sequences and series, and dynamical systems, among others. Prerequisite: MAT 111. Staff
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3.00 Credits
Introduction to single variable probability and statistics. Random variables. Binomial, geometric, Poisson, exponential and gamma distributions, among others. Counting techniques. Estimation and hypothesis tests on a single parameter. Prerequisite: MAT 110. Staff
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3.00 Credits
Systems of linear equations and matrices, vector spaces, linear transformations, determinants, eigenvalues and eigenvectors, nth order linear differential equations, systems of first order differential equations. Prerequisite: MAT 111. Staff
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3.00 Credits
Basic set theory, combinatorics (the theory of counting), finite difference equations, and graph theory with related algorithms. Staff
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3.00 Credits
Intermediate level courses.
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3.00 Credits
Reading directed by the Mathematics staff. Permission of chairperson.
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3.00 Credits
Continuation of MAT216. Multivariate distributions. Estimation and hypothesis tests for multiple parameters. Regression and correlation. Analysis of variance. Prerequisites: MAT 111, MAT 216. Levine
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3.00 Credits
Properties of stochastic processes, Markov chains, Poisson processes, Markov processes, queueing theory. Applications of stochastic modeling to other disciplines. Prerequisites: MAT 111, MAT 216. Levine
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