1. DISCRETE MATHEMATICS (weeks 1-8)
Laszlo Babai
The course covers topics in number theory,
combinatorial structures, linear algebra and discrete
probability, finite groups, the theory of algorithms
and combinatorial models in the theory of computing.
The course will highlight surprising interactions
among these areas. Students will discover each
field through solving sequences of challenging problems.
A number of open problems will be discussed.
The course will be divided into two modules. The first module (weeks 1-4) will focus on the interaction between linear algebra, combinatorics, and algorithms.
The second module (weeks 5-8) will focus on combinatorial and algorithmic aspects of finite groups.
The two modules will be sufficiently independent that if you missed the first module, you can still join the second. Returning students will not be bored.
PQ: Consent of instructor. CS-17400 (Discrete Math)
or CS-27000 (Algorithms) helpful but not required.
Basic linear algebra and finite fields desirable.
Interested students are encouraged to take Math-28400,
a.k.a. CS-27400, Honors Combinatorics and
Probability, offered in Spring, see
http://www.cs.uchicago.edu/courses/descriptions.php.
2. KNOTS AND LINKS (weeks 1-4)
Benson Farb (1-2), Chris Hruska (3-4)
Abstract: How can we tell when a loop in space is knotted?
How can we tell one knot from another? How knotted is a
"random" loop in space? How can we tell when two (or
more) loops in space are linked?
In this course we will address these and many other
questions. In order to do so we will use tools from a
number of areas of mathematics. Topics might include:
fundamental groups, Reidemeister moves, knot projections,
Seifert surfaces and the Alexander polynomial. We also
hope to explore some still unkown questions (like the
third question above), collecting evidence via computer
and other experiments.
3. INTRODUCTION TO GROUPS AND GEOMETRY (weeks 1-2)
Diane Herrmann
This course is intended as a condensed introduction to group theory
via geometry and symmetry. We will begin with the symmetries of
regular polygons, develop the basics of group theory and work toward
problems to work on to prepare for work in the YSP geometry courses.
Topics may also include symmetries of regular polyhedra, symmetries of
infinitely repeating patterns, and generators and relations.
4. INVITATION TO PROBABILITY THEORY (week 1)
Robert Fefferman
This will be a series of lectures about the most basic ideas of
this theory: sample spaces, probability of events, random variables,
expectation and variance, and independence. We shall
discuss the laws of large numbers and present some beautiful
applications of
these results such as the approximation of continuous functions by
polynomials. Finally, we shall discuss the central limit theorem and such
related topics as characteristic functions and Brownian motion.
5. TOPICS IN ODE'S (week 2)
Eduard Kirr
This will give basic background material that
will be used in the following course.
6. MATHEMATICS IN INDUSTRIAL APPLICATIONS (weeks 3-4)
Fadil Santosa
This problem-solving session involves mathematical modeling, analysis and
computer simulation. Students will break up into two teams and work on a
problem for the two-week period. The first problem has to do with path
planning for multiple vehicles (on-land and flying). The vehicles must
avoid each other as well as static obstacles put in their way. The
mathematics involved include ordinary differential equations and optimal
control. The second problem concerns the design of opthalmic lenses.
The goal is to assign power correction to different areas of the lens
while minimizing the undesirable effects of astigmatism. The mathematics
involved include differential geometry of surfaces in addition to
optimization.
The teams will be supervised by the instructor who will act as project
manager and consultant. Basic mathematical background will be provided
prior to the project but during the project's duration, student will learn
other techniques on-the-job similar to what occurs in an industrial
research environment. Regular progress reports will be expected, and a
final presentation is expected in the eighth week.
7. FOLLOW UP ON AN INTIVATION TO PROBABILITY THEORY:
MARKOV CHAINS, MARTINGALES, AND MORE 
(weeks 5-6)
Peter Constantin
We will start with a quick introduction to the theory of
discrete-time Markov chains. We will discuss also Markov
processes with continuous time but discrete state space
(such as Poisson processes). We will discuss then discrete
time martingales, Markov (stopping) times, convergence theorems and
inequalities for discrete time martingales. If time permits
we will talk a little about continuous time martingales and
Brownian motion.
8. FINITE TOPOLOGICAL SPACES (weeks 5-7)
Peter May
There are some strange and intriguing papers in the
literature that show that finite simplicial complexes,
which are the familiar polyhedrally decomposed spaces,
can in fact be approximated ``for all purposes of algebraic
topology'' by finite topological spaces, that is finite sets
with suitable topologies. At first sight, this seems quite
counterintuitive. Nevertheless, it is not too hard to prove.
We shall explain the arguments, introducing many basic ideas
in homotopy theory along the way. No previous knowledge of
topology, algebraic or otherwise, will be assumed. There is
lots of unexplored territory here. For example, how can one
describe models for surfaces as finite topological spaces?
9. INTRODUCTION TO TOPOLOGICAL DEGREE IN EUCLIDEAN SPACES (weeks 7-8)
Marta Lewicka
This course aims to provide a self-contained introduction to the theory
of topological degree (the Brouwer degree) in Euclidean spaces. It is
intended for students most interested in analysis and topology. We will
define the Brouwer degree using analytic techniques, prove its basic
properties, and apply it to several classical theorems, such as the
Brouwer fixed point theorem, the Poincaré-Bohl theorem, the
fundamental theorem of algebra, the odd-mapping theorem, the
antipodal theorem, the Lusternik-Schnirelmann theorem, and the
ham sandwich theorem. Many exercises and problems will be offered.
10. STUDENT PRESENTATIONS (week 8)