19.3 Course Descriptions

All courses listed will not necessarily be offered in any given year.

MATHEMATICS

62-500. Mathematical Logic

62-501. Axiomatic Set Theory

62-510. Functions of a Real Variable I

62-511. Functions of a Real Variable II

62-512. Functional Analysis I

62-513. Functional Analysis II

62-520. Abstract Algebra I

62-521. Abstract Algebra II

62-523. Lie Algebras

62-524. Representation Theory

62-525. Matrix Algebra and Analysis

62-530. General Topology

62-533. Differential Geometry

62-536. Riemannian Geometry

62-561. Partial Differential Equations

62-568. Numerical Analysis I

62-569. Numerical Analysis II

62-570. Continuum Mechanics

62-572. Fluid Dynamics I

62-573. Perturbation Methods in Fluid Mechanics

62-575. Compressible Flow I

62-577. Numerical Techniques in Fluid Dynamics I

62-579. Visco-elasticity and Plasticity

62-582. Fluid Dynamics II

62-585. Compressible Flow II

62-587. Numerical Techniques in Fluid Dynamics II

62-590. General Relativity

62-592. Relativistic Fluid Dynamics

62-593. Introduction to Finite Element Method

62-595. Mathematical Programming

62-598. Special Topics

62-796. Major Paper

62-797. Thesis (M.Sc.)

62-798. Dissertation (Ph.D.)

STATISTICS

65-540. Theory of Probability

65-541. Stochastic Processes

65-542. Advanced Mathematical Statistics I

65-543. Advanced Mathematical Statistics II65-544. Multivariate Analysis I

65-545. Multivariate Analysis II

65-546. Statistical Data Analysis

65-548. Non-parametric Statistics

65-549. Discrete Multivariate Analysis

65-550. Linear Models

65-552. Experimental Design

65-554. Theory of Sampling and Surveys

65-555. Regression Analysis

65-556. Decision Theory

Topics in Statistics
Topics offered may include queueing theory, generalized multivariate analysis, bioassy, generalized linear models, optimal design, and Bayesian analysis.

65-796. Major Paper

65-797. Thesis (M.Sc.)

65-798. Dissertation (Ph.D.)