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Introductory Probability

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.

Introductory Probability

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.

Intro Numerical Methods

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.

Intro Numerical Methods

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.

Matrix Algebra & Appls

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.

Matrix Algebra & Appls

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.

Matrix Algebra & Appls

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.

Matrix Algebra & Appls

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.

Matrix Algebra & Appls

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.

Matrix Algebra & Appls

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.

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