Math Comps Preferences
Math and math/stats majors in the class of 2016 should return this form to Gail Nelson by noon on Friday, May 1. All of
the information on this form will be kept confidential. While we will try to honor everyone’s preferences, there may be
situations in which we cannot.
Name: __________________________________________________
Which upper-level math courses have you taken? Circle all taken.
241 Ordinary Differential Equations
331 Real Analysis II
244 Geometries
332 Advanced Linear Algebra
245 Applied Regression Analysis
333 Combinatorial Theory
251 Chaotic Dynamics
341 Fourier Series
261 Functions of Complex Variable
342 Abstract Algebra I
265 Probability
344 Differential Geometry
275 Introduction to Statistical Inference
349 Methods of Teaching Math
280 Statistical Consulting
351 Functions of a Complex Variable
295 Cryptography, Coding Th., and Comp. (Occhipinti)
352 Topics in Abstract Algebra
295 Set Theory Seminar (Nelson)
(Spring ’15 Egge)
295 Differential Forms and Vector Calculus (Patterson)
352 Topics in Abstract Algebra
295 Topics in the History of Mathematics (Kennedy)
(Spring ’14 Krusemeyer)
312 Elementary Number Theory
352 Topics in Abstract Algebra
315 Topics in Probability and Statistics: Stochastic
(Spring ’13 Krusemeyer)
Processes (Dobrow)
354 Topology
315 Introduction to Sampling Techniques (St. Clair)
365 Stochastic Processes (Dobrow)
315 Statistical Computing (Chihara)
395 Topics in Algebraic Number Theory (Jones)
321 Real Analysis I
Will you be away from campus for one or more terms next year? Which terms? Why?
Are there students you would have great difficulty working with?
Name: __________________________________________________
Please indicate the order in which you prefer these projects, with 1 being your first choice. Please rank all choices until
you rank Independent Comps and then you may stop. Descriptions and prerequisite information are available online.
_____ Projects in Stochastic Processes and Probability, Bob Dobrow, Fall-Winter
Prerequisites: Math 265. Math 365 is recommended, but not necessary.
_____ Statistical Learning, Laura Chihara, Fall-Winter
Prerequisites: Math 245 and Math 275
_____ Empirical Bayes, Dave Watson, Winter-Spring
Prerequisites: Math 265 and Math 275
_____ Industrial Strength Mathematics, Rob Thompson, Winter-Spring
Prerequisite: Math 241 and programming experience recommended.
_____ Counting Pattern-Avoiding Linear Extensions of Posets, Eric Egge, Fall-Winter
Prerequisites: Math 333 or equivalent experience.
_____ The Mathematics of Origami, Deanna Haunsperger, Fall-Winter
No prerequisites
_____ Cantor Sets, Gail Nelson, Fall-Winter
Prequisite: Math 321
_____ Directed Reading in Algebraic Geometry, Homological Algebra, or Another Algebraic Topic
Mark Krusemeyer, Winter-Spring
Prerequisite: Math 342
_____ Voting Theory, Peri Shereen, Winter-Spring
Prerequisite: Math 342
_____ Elastic Curves, Allison Tanguay, Winter-Spring
No prerequisites
_____ Independent Comps
Circle: 3 credits or 6 credits
If 6 credits, circle Fall/Winter or Winter/Spring
If 3 credits, circle Fall or Winter or Spring
Is there anything else we should know about your comps preferences?