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Course Criteria
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1.00 Credits
Exploratory data analysis, sampling distributions, regression, sampling designs, confidence intervals, hypothesis testing, ANOVA. Statistical software is used and applications, including projects, are undertaken.
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3.00 Credits
Exploratory data analysis, design of experiments and inference emphasizing applications in biology and environmental science. Includes multiple linear regression, analysis of variance, categorical data analysis, nonparametric statistics. Prerequisite: MATH 216 or equivalent.
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0.50 Credits
First order differential equations, second order linear equations, higher order linear equations, numerical approximations. Not open to students who have taken MATH 212.
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3.00 Credits
Descriptive modeling and statistics, sampling and experimental design, discrete and continuous random variables, central limit theorem, and elementary inference. Prerequisite: MATH 202 or 206. Open only to engineering students and students in computer science. Not open to students who have taken MATH 216.
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0.50 Credits
Combinatorics (permutations, combinations) and graph theory (Eulerian paths, trees, directed graphs). Open only to students seeking certification in secondary mathematics who have not taken MATH 241. Does not count toward the mathmatics major. Students will join a section of MATH 241 mid-semester.
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3.00 Credits
Sets, logic, and relations, mathematical induction, functions, combinatorics, graph theory. Does not count toward the mathematics major. Corequisite: MATH 211 or MATH 213.
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3.00 Credits
Logic, sets; proof techniques; relations, functions, sequences and convergence; cardinality. Skills and tools for independent reading, problem solving, and exploration. Prerequisite: Corequisite: MATH 211 or MATH 213.
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0.50 - 2.00 Credits
Readings and research in special topics at an intermediate level.
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3.00 Credits
Elementary probability, random variables, moments, central limit theorem, conditional expectation, statistical distributions derived from the normal distribution. Probability simulations and applications from various fields. Prerequisite: MATH 211.
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3.00 Credits
Point and interval estimation, hypothesis testing, theory of least squares and its relation to the design and analysis of experiments. Prerequisites: MATH 216 or equivalent and MATH 303 or permission of the instructor.
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