Rawdon, Eric portrait

Rawdon, Eric

Associate Professor
Ph.D., University of Iowa
OSS 216
(651) 962-5558
Toll Free
(800) 328-6819, Ext. 2-5558
OSS 201

Dr. Rawdon is a knot theorist with specific interest in understanding
knotting in physical systems.  He is currently focusing on knotting
in open arcs, like those found in knotted proteins.

  1992-1997 The University of Iowa, Mathematics PhD, August 1997

  Thesis advisor: Jonathan Simon
  Dissertation title: Thickness of Polygonal Knots
  1988-1992 St. Olaf College, Mathematics, BA, May 1992
Awards and Distinctions

 National Science Foundation Grant, RUI: Theory and simulations of
 knotting in physical and biological systems ranging from proteins to
 glueballs, DMS #1115722 (2011-2014).

 National Science Foundation Grant, RUI: Structure of Entanglement  in Macromolecules, DMS #0810415 (2008-2011).

 Distinguished Faculty Mentor of Undergraduate Mathematics  Students Award, Allegheny Mountain Section of the MAA (2006)

Research Interests
 Physical knot theory, polymers, knotted proteins, random knots,
 tight knots, ropelength, knotting in physical systems.

Spring 2016 Courses

Spring 2016 Courses
Course - Section Title Days Time Location
MATH 128 - 01 Intro to Discrete Math - T - R - - - 0955 - 1135 OSS 227
CRN: 20197 4 Credit Hours Instructor: Eric J. Rawdon A survey of basic discrete mathematical concepts. Topics include: Boolean algebra, logic, analysis of algorithms, mathematical induction and matrices. Focus on applications to computer science. Prerequisite: MATH 111 or 113 or 109 (may be taken concurrently with consent of the instructor)

Schedule Details

Location Time Day(s)

Summer 2016 Courses

Summer 2016 Courses
Course - Section Title Days Time Location

Fall 2016 Courses

Fall 2016 Courses
Course - Section Title Days Time Location
MATH 100 - 01 Mathematical Sampler - T - R - - - 0955 - 1135
CRN: 40188 4 Credit Hours Instructor: Eric J. Rawdon This survey of basic mathematical concepts includes both modern and historical perspectives. Emphasis is on the development and appreciation of mathematical ideas and their relationship to other disciplines. Topics include, among others: mathematical problem-solving, set theory, graph theory, an introduction to randomness, counting and probability, statistics and data exploration, measurement and symmetry, and recursion. This course satisfies the core curriculum requirement for a core-area course in mathematics. Prerequisite: A satisfactory score on the mathematics placement exam

Schedule Details

Location Time Day(s)

Undergraduate Admissions

Graduate Admissions

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