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Current Graduate Offerings

Current Graduate Offerings

Fall 2017

You are welcome to contact the instructor for more information about any course below. E-mail addresses can be obtained from the Math Department Directory Page.

Roughly speaking, 500-level courses are intended as first-year M.S. courses, 600-level are more advanced M.S. level courses, and 700-level courses are doctoral courses. With the exception of Math 452, most 400-level courses do not count toward program requirements.

Note: Except as noted, all courses below the 600-level that are listed below are now planned on being offered annually.

Links with further information will be added as provided by the instructor. Comments on this page represent brief remarks by the Graduate Director as to how each course fits into the graduate program. Catalog descriptions of the courses are available through the University’s website or at Available Math Courses.

Math 793E. SPTP: Combinatorial Optimization

Credit Hours: 
3
Semester Offered: 
Comments From Graduate Director: 
This course is generally offered every other year, alternating with the Matroids sequence. This is a full-year course, with research-level topics in the spring.

Math 793F. SPTP: Introduction to Infinite Combinatorics

Credit Hours: 
3
Semester Offered: 

Math 793G. SPTP: Research in Undergraduate Mathematics Education 4

Credit Hours: 
3
Semester Offered: 
Comments From Graduate Director: 
The fourth in a series of courses on the research literature and practice in undergraduate mathematics education.

Math 793I. SPTP: Spatial Simulation in Bio-Molecular Systems

Credit Hours: 
3
Semester Offered: 
Comments From Graduate Director: 
A course on spatial stochastic (Monte Carlo) simulations of molecular processes in living cells. The course might be of interest to those who took one or both semesters of Mathematical Systems Biology in the past years. However, this course is meant to be self contained, and pre-requisite knowledge is some familiarity with dynamical systems, basic multivariate calculus and probability. We will spend a few classes on basic models in systems biology and (a superficial) summary of chemical reaction systems. The core course focuses on the connection between the continuum picture (reaction-diffusion systems represented by PDE) and the behavior of individual particles. The ideas behind these simulation methods are quite general, and might be useful in other applications. Students proficient in programming will have the option of choosing projects that center on writing simulation programs.

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