Graduate Courses, Spring 2003

(MATH, AMSC, and STAT)

General Interest
(Most of this is new!)

• MATH/AMSC/STAT 688 Minicourses in the Mathematical Sciences (Dan Rudolph)
• MATH 689 Research Interactions in Mathematics or Statistics (various sections)
• AMSC 689 Research Interactions in Applied Mathematics (various sections)

Algebra/Algebraic Geometry/Number Theory

• MATH 601 Abstract Algebra II (Jim Schafer)
• MATH 607 Algebraic Geometry II (John Millson)
• MATH 621 Algebraic Number Theory II (Larry Washington)

Analysis

• MATH 630 Real Analysis I (Rebecca Herb)
• MATH 631 Real Analysis II (Ray Johnson)
• MATH 632 Functional Analysis (Bob Warner)
• MATH 648H Topics in Abstract and Applicable Harmonic Analysis (John Benedetto)
• MATH 648I Topics in Integration and Modern Analysis (W. Czaja)

Differential Equations/Dynamical Systems

• MATH/AMSC 671 Ordinary Differential Equations II (Dan Sweet)
• MATH/AMSC 674 Partial Differential Equations II (Georg Dolzmann)

Logic

• MATH 713 Mathematical Logic II (David Kueker)

Geometry/Topology

• MATH 669S Topics in Riemann Surfaces (Bill Goldman)
• MATH 734 Algebraic Topology (Joel Cohen)
• MATH 742 Differential Topology (Sergei Novikov)
• MATH 748G Critical Point Theory in Geometry (Karsten Grove)

Numerical Analysis/Applied Mathematics

• AMSC 614 Mathematics of the Finite Element Method (Tobias von Petersdorff)
• AMSC 661 Scientific Computing II (Howard Elman)
• AMSC 664 Advanced Scientific Computing II (William Dorland)
• AMSC 666 Numerical Analysis I (Peter Wolfe)
• AMSC 667 Numerical Analysis II (John Osborn)
• AMSC 698N Optimization and Nonlinear Programming (Steve Gabriel)
• AMSC 698Q Modern Analytic and Geometric Methods in Classical Mechanics and Control Theory II ( P.S. Krishnaprasad)

Probability/Statistics

• STAT 601 Probability Theory II (Abram Kagan)
• STAT 650 Applied Stochastic Processes (Grace Yang)
• STAT 698D Selected Topics in Probability: Stochastic Differential Equations (Mark Freidlin)
• STAT 701 Mathematical Statistics II (Ben Kedem)
• STAT 741 Linear Statistical Models II (Paul Smith)
• STAT 770 Analysis of Categorical Data (Eric Slud)
• STAT 798C Computational Methods in Statistics (Eric Slud)