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Course Criteria
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3.00 Credits
Regression and analysis of (co)variance. Model diagnosis and remediation. Generalized linear models and nonlinear regression. Multicollinearity and ridge regression. Use of advanced statistical software. Prerequisites: MATH 216 or equivalent, and either MATH 213 or MATH 303 or permission of the instructor.
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1.00 Credits
Sampling, design of experiments and observational studies. Includes completely randomized, block, factorial, and nested designs. Simple random, stratified, systematic, and cluster sampling. Estimation procedures and sample size calculations.
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1.00 Credits
Real numbers and elementary topology of Cartesian spaces, convergence, continuity, differentiation, and history of the development of analysis.
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1.00 Credits
Continuation of MATH 308. Integration theory and advanced topics in analysis.
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3.00 Credits
Classical number theory in an algebraic setting. Topics include unique factorization, diophantine equations, and linear and quadratic congruences. Advanced topics from algebraic or analytic number theory. Prerequisites: MATH 213 and MATH 280, or permission of the instructor.
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3.00 Credits
Special topics, to be selected from algebra, analysis, geometry, statistics, etc.
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3.00 Credits
Groups and rings; homomorphisms and isomorphism theorems; history of the development of algebra. Additional selected topics. Prerequisites: MATH 213 and MATH 280.
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3.00 Credits
Topological spaces, connectedness, compactness, continuity, separation, and countability axioms. Metric, product, function, and uniform spaces. Prerequisites: MATH 211 and MATH 280, or permission of the instructor.
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3.00 Credits
Historical and axiomatic foundations of geometry. Euclidean and non-Euclidean geometries. Prerequisite: MATH 280 or permission of the instructor.
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1.00 Credits
Finite automata, regular sets, pushdown automata, context-free grammars. Turing machines, recursive functions, and undecidability. Crosslisted as CSCI 341.
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