Courses
MATH 111 - Calculus
This includes a treatment of limits, continuity, derivatives, mean value theorem, integration-including the fundamental theorem of calculus, and definitions of the trigonometric, logarithmic, and exponential functions.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 112 - Introduction to Analysis
Field axioms, the real and complex fields, sequences and series. Complex functions, continuity and differentiation; power series and the complex exponential.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 113 - Discrete Structures
Sets, cardinality, number theory, combinatorics, probability. Proof techniques and problem solving. Additional topics may include graph theory, finite fields, and computer experimentation.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 201 - Linear Algebra
A brief introduction to field structures, followed by presentation of the algebraic theory of finite dimensional vector spaces. Topics include linear transformations, determinants, eigenvalues, eigenvectors, diagonalization. Geometry of inner product spaces is examined in the setting of real and complex fields.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 202 - Vector Calculus
The derivative as a linear function, partial derivatives, optimization, multiple integrals, change of variables, Stokes's theorem.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 291 - Probability
See STAT 291听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 311 - Complex Analysis
A study of complex valued functions: Cauchy's theorem and residue theorem, Laurent series, and analytic continuation.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 321 - Real Analysis
A careful study of continuity and convergence in metric spaces. Sequences and series of functions, uniform convergence, normed linear spaces.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 322 - Ordinary Differential Equations
An introduction to the theory of ordinary differential equations. Existence and uniqueness theorems, global behavior of solutions, qualitative theory, numerical methods.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 332 - Abstract Algebra
An elementary treatment of the algebraic structure of groups, rings, fields, and/or algebras.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 341 - Topics in Geometry
Topics in geometry selected by the instructor. Possible topics include the theory of plane ornaments, coordinatization of affine and projective planes, curves and surfaces, differential geometry, algebraic geometry, and non-Euclidean geometry.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 342 - Topology
An introduction to basic topology, followed by selected topics such as topological manifolds, embedding theorems, and the fundamental group and covering spaces.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 361 - Number Theory
A study of integers, including topics such as divisibility, theory of prime numbers, congruences, and solutions of equations in the integers.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 372 - Combinatorics
Emphasis is on enumerative combinatorics including such topics as the principle of inclusion-exclusion, formal power series and generating functions, and permutation groups and P贸lya theory. Selected other topics such as Ramsey theory, inversion formulae, the theory of graphs, and the theory of designs will be treated as time permits.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 382 - Algorithms and Data Structures
See CSCI 382听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 383 - Advanced Algorithms
See听CSCI 383听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 386 - Private and Fair Data Analysis
See CSCI 386听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 387 - Computability and Complexity
See CSCI 387听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 388 - Cryptography
See CSCI 388听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 392 - Mathematical Statistics
See听STAT 392听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 411 - Topics in Advanced Analysis
Topics vary, and are selected by instructor.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 412 - Topics in Algebra
Topics vary, and are selected by the instructor, for example, commutative algebra, Galois theory, algebraic geometry, and group representation theory.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 421 - Computer Science Theory Topics Seminar
See听CSCI 421听for description.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
MATH 442 - Algebraic Topology
An introduction to algebraic topology, concentrating on homology of topological spaces as a coarse, yet highly computable algebraic invariant. Topics include singular and simplicial homology, homological algebra, and cohomology.
- Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
- Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.