Topics from classical number theory, including discussions of mathematical induction, prime numbers, division algorithms, congruences, and quadratic reciprocity.

Heuristics of problem solving. Practice in solving problems from algebra, number theory, geometry, calculus, combinatorics, and other areas. Primarily for middle school teachers. This course may not be counted towards a mathematics major or minor.

Heuristics of problem solving. Practice in solving problems from algebra, number theory, geometry, calculus, combinatorics and other areas. Primarily for middle and secondary school teachers.

Set theory; fundamental concepts of probability, including conditional and marginal probability; random variables and probability distributions moments; moment-generating and characteristic functions; random experiments; distribution of random variables and functions of random variables; limit theorems.

Set theory; fundamental concepts of probability, including conditional and marginal probability; random variables and probability distributions moments; moment-generating and characteristic functions; random experiments; distribution of random variables and functions of random variables; limit theorems.

Set theory; fundamental concepts of probability, including conditional and marginal probability; random variables and probability distributions moments; moment-generating and characteristic functions; random experiments; distribution of random variables and functions of random variables; limit theorems.

Floating point arithmetic. Numerical linear algebra: elimination with partial pivoting and scaling. Polynomial and piecewise interpolation. Least squares approxmiation. Numerical integration. Roots ofots nonlinear equations. Ordinary differential equations. Laboratory exercises using software packages available at computer center.

Algebra of matrices, elementary theory of vector spaces and inner product spaces, the solution of simultaneous linear equations using Gaussian elimination and triangular factorization. Orthogonal projections, pseudo inverse and singular value decomposition, least squares approximation. Determinants, eigenvalues and eigenvectors, diagonalization.

Algebra of matrices, elementary theory of vector spaces and inner product spaces, the solution of simultaneous linear equations using Gaussian elimination and triangular factorization. Orthogonal projections, pseudo inverse and singular value decomposition, least squares approximation. Determinants, eigenvalues and eigenvectors, diagonalization.

Algebra of matrices, elementary theory of vector spaces and inner product spaces, the solution of simultaneous linear equations using Gaussian elimination and triangular factorization. Orthogonal projections, pseudo inverse and singular value decomposition, least squares approximation. Determinants, eigenvalues and eigenvectors, diagonalization.