|
Timetable Information for Spring 2008
Finite Mathematics Classes
| Course |
Section |
Course
Reference Number |
Title |
| Math
124 |
A1 |
37550 |
Algebra |
| Math
124 |
B1 |
37552 |
Algebra
|
| Math
124 |
C1 |
41627 |
Algebra
|
| Math
124 |
E1 |
37556 |
Algebra
|
| Math
124 |
X1 |
37553 |
Algebra
|
All sections of Math 124 will have combined evening
exams at 7 pm on Wednesdays: Feb 13, Mar 12, and Apr 16.
Honors Calculus Sequence
| Course |
Section |
Course
Reference Number |
Title,
Instructor and Description |
| Math
231 |
D1H |
46047 |
Calculus
II
Concurrent registration in Math 249 P1H |
| Math
249 |
P1H |
37808 |
Honors Course
in Mathematics
Concurrent registration in Math 231 D1H
|
Each honors calculus course is worth
4 hours credit.
Merit Worshop Classes
| Course |
Section |
Course
Reference Number |
Title,
Instructor and Description |
| Math
220 |
AD8 |
37535 |
Calculus
|
| Math
220 |
AD9 |
37536 |
Calculus
|
| Math
231 |
CD5 |
46044 |
Calculus II
|
| Math
231 |
CD6 |
46045 |
Calculus II
|
| Math
231 |
W1 |
46050 |
Calculus
II |
| Math
231 |
W2 |
46051 |
Calculus
II |
| Math
231 |
W3 |
46052 |
Calculus
II |
| Math
241 |
AD7 |
46059 |
Calculus III
|
| Math
241 |
AD8 |
48355 |
Calculus III
|
The Merit Workshop is an interactive group
learning environment for selected students. For a detailed description
of the format of a Merit worshop class, consult the Merit
Class description. For general information regarding the Merit Workshop
Program, consult the Merit
Program Website
Registration in Merit Workshop sections requires
approval from the Merit Workshop Director (see contact information below).
Concurrent enrollment for 2 hours of credit in the Merit Section of Math
199 is required for Math 220. Concurrent enrollment for 1 hour of credit
in the Merit Section of Math 199 is required for Math 231 and Math 241.
Merit Workshop Director: Jennifer McNeilly
178 Altgeld Hall
217-244-1659
jrmcneil@math.uiuc.edu
Active Learning Calculus Classes
| Course |
Section |
Course
Reference Number |
Title
and Description |
| Math
220 |
AE1 |
37542 |
Calculus
Uses small group learning methods |
| Math
220 |
AB1 |
37543 |
Calculus
Small group learning lab concurrent with Math 220 AE1
|
| Math 220 |
BE1 |
37545 |
Calculus
Uses small group learning methods |
| Math 220 |
BB1 |
37540 |
Calculus
Small group learning lab concurrent with Math 220 BE1
|
| Math 231 |
AE1 |
46025 |
Calculus
II
Uses small group learning methods |
| Math 231 |
AB1 |
46017 |
Calculus
II
Small group learning lab concurrent with Math 231 AE1
|
| Math
231 |
BE1 |
46031 |
Calculus
II
Uses small group learning methods |
| Math
231 |
BB1 |
46030 |
Calculus
II
Small group learning lab concurrent with Math 231 BE1
|
The Active Learning Calculus sequence is
an environment open to all students. It uses guided reading assignments,
group problem solving, and graphing calculators. Each active learning
class has an associated 2 hour lab. For a detailed description of the
format of an active learning class, consult the Active
Learning Class description.
Calculus and Mathematica Classes
| Course |
Section |
Course
Reference Number |
Title
and Description |
| Math
220 |
D8 |
37547 |
Calculus
For a description of this course, see C&M
Math 220 |
| Math
220 |
X8 |
37548 |
Calculus
For a description of this course, see C&M
Math 220
|
| Math
225 |
T8 |
37845 |
Introductory
Matrix Theory
This is a second eight week course, meeting 10-MAR-08
- 30-APRIL-08
For a description of this course, see C&M
Math 225
|
| Math 225 |
S8 |
37844 |
Introductory
Matrix Theory
For a description of this course, see C&M
Math 225
|
| Math
231 |
B8 |
46028 |
Calculus
II
For a description of this course, see C&M
Math 230
|
| Math 231 |
C8 |
46039 |
Calculus
II
For a description of this course, see C&M
Math 230
|
| Math 231 |
D8 |
46048 |
Calculus
II
For a description of this course, see C&M
Math 230
|
| Math
241 |
C8 |
46075 |
Calculus
III
For a description of this course, see C&M
Math 242
|
| Math
241 |
X8 |
46076 |
Calculus
III
For a description of this course, see C&M
Math 242
|
| Math
285 |
F8 |
48605 |
Intro
Differential Equations
For a description of this course, see C&M
Math 385
|
| Math
285 |
G8 |
48606 |
Intro
Differential Equations
For a description of this course, see C&M
Math 385
|
| Math
415 |
E83 |
37984 |
Linear
Algebra
For a description of this course, see C&M
Math 415
|
| Math 415 |
E84 |
37986 |
Linear
Algebra
For a description of this course, see C&M
Math 415
|
| Math
415 |
Z83 |
37991 |
Linear
Algebra
This is an asynchronous course. It does not have a regular
meeting place or meeting time and is intended for students who wish
to take the course in an independent study mode. Consult Debra
Woods for further information.
For a description of this course, see C&M
Math 415
|
| Math 415 |
Z84 |
37988 |
Linear
Algebra
This is an asynchronous course. It does not have a regular
meeting place or meeting time and is intended for students who wish
to take the course in an independent study mode. Consult Debra
Woods for further information.
For a description of this course, see C&M
Math 415
|
| Math
461 |
G83 |
38063 |
Probability
Theory I
For a description of this course, see C&M
Math 461
|
| Math
461 |
G84 |
38064 |
Probability
Theory I
For a description of this course, see C&M
Math 461
|
Calculus & Mathematica courses
involve learning a subject through extensive computer interaction using
Mathematica software. For a detailed description of the format
of a Mathematica class, consult the Mathematica
Class description. For general information regarding the Calculus
& Mathematica Program, consult the Calculus
& Mathematica Program Website
Students registering in a Calculus &
Mathematica class are permitted to register in an associated
section of Math 290 on a one-time basis for an additional hour of credit.
See Math
290, Symbolic Computation Lab.
Topics Courses
| Course |
Section |
CFN |
Title
and Description |
| Math
198 |
G1H |
37820 |
Freshman
Mathematics Seminar: Hypergraphics2008.
Students in this tutorial/lab course learn basic geometrical programming
in the REU-Lab of the Mathematics Department. Novice programmers may
use fully functional real time interactive animations (RTICA) to explore
the 4th dimension, non-Euclidean geometries, fractals, cellular automata,
chaotic dynamical systems etc. Expert programmers are encouraged to
modify or (re)write these, and to create new ones for future Math
198 students. Previous programming experience or advanced calculus
are not required. Good spatial intuition, some trigonometry, and much
geometrical curiosity are prerequisites. Some elementary physics and
calculus are recommended. Experienced programmers are also welcome,
but they will complete an individual course of study. Detailed tutorials
and supervised practice sessions will augment the course for novice
programmers. See more about this course at http://new.math.uiuc.edu/math198/ |
| Math
199 |
FTM |
49060 |
Undergraduate
Open Seminar: Preparing Future Teachers of Mathematics |
| Math
490 |
B13/B14 |
44789 |
Advanced
Topics in Mathematics: Mathematical Issues in National Security II.
See http://www.math.uiuc.edu/Courses/math490palmore_sp08.pdf
for more information. |
Math 595 Graduate Topics Courses
| Course |
Section |
Course
Reference Number |
Title
and Description |
| Math
595 |
BSO |
48217 |
Banach
Spaces and Operator Spaces (Z. Ruan)
In this course, we plan to spend most of time to introduce some important
results in Banach spaces. We plan to cover the following topics. 1)
Recall some fundamental theorems in functional analysis; 2) Tensor
products of Banach spaces; 3) Local Property of Banach spaces; 4)
Grothedieck's approximation property for Banach spaces; 5) Vector
measures and Radon-Nikodym property; 6) Grothendieck's inequality
Then we will discuss operator spaces, which is a natural quantization
of Banach spaces. Prerequisite: Math 541. Text: Introduction to
Tensor Products of Banach Spaces, Raymond A. Ryan, Springer Monographs
in Mathematics. |
| Math
595 |
DM2 |
49463 |
Differentiable
Manifolds II (C. Leininger)
This is the follow up course to the Differentiable Manifolds I, Math
520 course. The topics will include: Vector bundles, principal bundles,
connections and curvature from different perspectives; Laplace-Beltrami
operator on Riemannian manifolds, spectral theory and harmonic forms.
Prerequisites: Differentiable Manifolds I. |
| Math
595 |
RT |
43500 |
Ramsey
Theory: Finite or Infinite (S. Solecki)
This will be a course on Ramsey theory and its connections with logic
(model theory and set theory). Recent years have seen a number of
applications of finite and infinite dimensional Ramsey theory to dynamics
of topological groups and to the structure of Banach spaces that have
been of interest to logicians. In turn, these applications have been
stimulating development in Ramsey theory. Furthermore, finite Ramsey
theory has found connections with finite model theory, while infinite
dimensional Ramsey theory have been using methods and notions of set
theory, in particular, descriptive set theory. The aim of the course
will be to present elements of classical Ramsey theory, structural
Ramsey theory (as developed by Nesetril, Rödl, Prömel and
Voigt), and infinite dimensional Ramsey theory with an eye on applications
to dynamics and to Banach spaces. |
| Math
595 |
IHF |
48719 |
Introduction
to Hypergeometric Functions with Applications to Number Theory and
Combinatorics (B. Berndt)
This course is an introduction to hypergeometric series. No previous
acquaintance with them is necessary. For the first portion of the
course, I will most often follow the presentation of the subject in
the book, Special Functions. In particular, we will prove classical
theorems due to Euler, Gauss, Kummer, Sears, Saalschiitz, Whipple,
Dougall, Bailey, and others. We also will prove several results due
to Ramanujan, primarily from his notebooks. Both Ramanujan and the
lecturer love infinite series and closed form evaluations of them.
Thus, we shall evaluate several infinite series, mostly from Ramanujan's
notebooks, in closed form. The automated WZ-method of summing series
due to H.S. Wilf and D. Zeilberger will be a topic. Hypergeometric
series arise in countless applications, and so applications to combinatorics
and to number theory will be given. In particular, connections with
elliptic functions will be made. The only prerequisite is Math 448.
However, Math 453 may be helpful on very rare occasions. |
| Math
595 |
LC |
39575 |
Local
Cohomology (S. Dutta)
This course will be a study of Local Cohomology introduced by Grothendieck
and its various applications. The main topics will include: Cohen-Macaulay
Rings and Modules, Injective Modules over noethierian rings, Gorenstein
rings, local cohomology -- connection with dimension and depth, local
duality theorem of Grothendieck, Cohomology of quasi-coherent and
coherent sheaves, Serre's Theorem on coherent sheaves on projective
spaces, classification of Line-bundles on Pn, Hartshorne - Lichtenbaum
Theorem and Faltings Connectedness Theorem. Prerequisite: Math 403
Text: Local Cohomology by Brodmann and Sharp, Cambridge University
Press. |
| Math
595 |
MI |
48222 |
Motivic
Integration (L. van den Dries)
This course is about a new type of measures: they are finitely additive
under disjoint union, multiplicative under cartesian products, but
take values in a ring that is usually not the field of real numbers.
Here is an elementary example indicating what kind of things can be
measured in this way. With R the field of real numbers, let B(n) be
the boolean algebra of sets in n-dimensional affine space R^n generated
by the affine subspaces (points, lines, planes,...). Then we have
the motivic measure on B(n) that takes values in the polynomial ring
Z[T] and assigns "volume" T^d to each d-dimensional affine subspace
of R^n. Given sets X in B(m) and Y in B(n) one can show that X and
Y have the same motivic volume iff there is a piecewise affine bijection
between X and Y. A related fact is that a piecewise affine map from
X to itself is injective iff it is surjective. (All this is true for
any infinite field instead of R.) More generally, for certain nice
categories of sets and maps between them we wish to determine the
most general (motivic) measure that makes isomorphic sets have equal
volume. A key example is the category of algebraic varieties over
the field of rational numbers, with several possible notions of "isomorphism".
Motivic integration is a rapidly growing area of research, starting
with a lecture by Kontsevich in 1995, and then developed by Denef
and Loeser. For a brief overview and further motivation, see the article
"What is motivic measure" by Thomas Hales, Bull. AMS 42 (2005). I
plan to start from scratch and first work out some basic examples
dealing with "nice" sets and maps in (ordered) vector spaces. Next,
I will introduce a very general setting for motivic integration, following
a recent fundamental paper by Hrushovski and Kazhdan: "Integration
in valued fields". While this paper does not use deep results from
logic, it is imbued by a model-theoretic viewpoint. My aim is to cover
a substantial part of this long paper (> 140 pages) in the best way
I can manage. |
| Math
595 |
TV |
40654 |
Toric
Varieties (H. Schenck)
Course Description. Toric varieties are objects at the interface of
algebra, geometry and combinatorics. They can be studied from any
one of these viewpoints, but it is the interplay between viewpoints
that makes them so interesting. This course will be an introduction
to algebraic geometry, which uses toric varieties as the main examples.
To be particularly down-to-earth, in modern algebraic geometry, a
variety is constructed by gluing together affine varieties. In the
toric case, an affine variety corresponds to a polyhedral cone, and
gluing affine torics simply corresponds to gluing two cones together
along a common facet. Another key concept in algebraic geometry is
that of a divisor (a codimension one subvariety); in the toric case
a divisor corresponds to an edge of the cone. In short, there is a
beautiful dictionary between discrete geometric objects (cones, polytopes,
etc.) and toric varieties. The prerequisite of the class is a class
in commutative algebra, at the level of Atiyah-Macdonald, although
motivated students who know undergraduate algebraic geometry at the
level of Cox, Little, O'Shea ``Ideals,varieties, and algorithms''
may be able keep up. The main objective of the class is to bring the
abstract concepts of modern algebraic geometry to life with lots of
examples. Text. Toric Varieties (notes to be handed out), Cox,
Little, Schenck. |
595 Mini Courses
| Course |
Section |
Course
Reference Number |
Title
and Description |
| Math
595 |
BSP |
48254 |
Basics
of Stochastic Processes (R. Sowers)
This is a short course which quickly introduces the basics of the
modern theory of stochastic processes. We shall emphasize those parts
of the theory which are useful in a wide variety of disciplines. Our
intended audience is not only mathematicians, but students from engineering,
physics, and finance. We assume that the students will either be willing
to accept, ex cathedra, basic aspects of measure theory, or have the
ability to understand them on their own. See http://www.math.uiuc.edu/~r-sowers/595S08/announce.html
for more information about this course. Meets Jan 14 - Mar 7, 2008. |
| Math
595 |
FM |
48983 |
Financial
Mathematics (R. Gorvett)
Description to be posted. Meets 14-Jan-08 - 07-Mar-08. |
| Math
595 |
GF |
48262 |
Computer
Graphics and Geometrical Visualization (G. Francis)
We present the geometry of computer graphics, emphasizing real-time
interactive computer animation (RTICA)
for
mathematical visualization, in particular for an immersive virtual
environment(IVE), such as the CUBE, CAVE, and CANVAS. of the Integrated
Systems Lab (ISL) at the Beckman Institute.
Topics include the structure of the OpenGL graphical pipeline,
the polyhedral encoding of surfaces as triangular meshes, the geometry
of linear and aerial perspective (ligh and shade), the representation
of the 3-D affine group in 4-D homogeneous coordinates, the algebra
of 3-D rotations in terms of unit quaternions, projective spaces
and their Euclidean, spherical and Minkowski (hyperbolic) metrics.
We will explore non-Euclidean splines and morphing techniques, real
time interactive texture mapping, and other advanced graphics techniques
for innovative mathematical application. The course also includes
a survey of classical topics including binocular optics and color
theory, Haussdorff dimension and fractals, chaos and strange attractors,
Wolfram's cellular automata, Barnsley's iterated function systems,
Julia and Mandelbrot sets, discrete and continuous logistic equations,
and the Lienard-VanderPol dynamical system.
Prospective students should have a good spatial intuition, some
artistic abilities or ambitions, and a solid grounding in linear
algebra and vector calculus. Students may participate in a tutorial
on useful line and surface graphics tools that do not require programming.
Students with experience programming in some computer language,
such as BASIC, Pascal, C/C++, Java, Python, or Mathematica, may
gain 2 credits of independent study for a graphics programming project
appropriate to the course and tailored to the proficiency of the
student. Text: Francis, A Topological Picturebook, Springer Paper
Back, 2006. Meets Jan 14 - Mar 7, 2008
|
| Math
595 |
IPC |
49352 |
Introduction
to Pseudoholomorphic Curves (E. Kerman)
Pseudoholomorphic curves were first introduced and applied by Gromov
in his remarkable paper of 1986. They have revolutionized the field
of symplectic topology and have significantly impacted many other
areas, including algebraic geometry and low-dimensional topology.
Applications of these objects are still being actively developed in
many new directions. This mini-course will be comprised of three sections.
The first will be an overview of the required results on Riemann surfaces,
the domains of pseudoholomorphic curves. This will culminate in a
discussion of the Deligne-Mumford compactness theorem. The second
section will be a rea- sonably detailed discussion of the definition
and main properties of pseudo- holomorphic curves with special emphasis
on their compactness properties. In the final section of the mini-course,
we will survey some applications to symplectic topology. Prerequisites:
Basic differential geometry and topology. References: J-holomorphic
curves and symplectic topology, by D. McDuff and D. Salamon. 1. Meets
Jan 14 - Mar 7, 2008 |
| Math 595 |
PST |
48256 |
General Point
Set Topology (E. Lerman)
The course is an experimental version of math 535, point set topology.
It will attempt to cover the essentials of point set topology in
half the semester. It will take a categorical perspective on the
subject.
- Definition
and examples of topology, topological spaces and continuous maps,
bases, subbases.
- subspaces,
products
- metrics and
pseudometrics
- quotient
topology
- nets
- separation
axioms: Hausdorff, regular, normal...
- connectedness,
local connectedness, path connectedness
- compactness,
Tychonoff theorem
- compactness
and completeness in metric spaces
- Urysohn lemma,
Tietze extension
- countability
axioms
- paracompactness
and partitions of unity
- topology
on function spaces
Recommended
texts are: General Topology by S. Willard; Topology by Munkres (any
edition); Topology and Geometry by Bredon. Meets Jan 14 - Mar 7,
2008
|
| Math
595 |
RMS |
48255 |
Introduction
to Random Fragmentation and Coagulation Processes (R. Song)
Fragmentation and coagulation are two natural phenomenon a that can
be observed in many sciences. In this half semester topics course,
we will give an theoretical account of some of the mathematical models
for situations where either phenomenon occurs randomly and repeatedly
as time passes. The fragmentation and coalescent processes we are
going to consider describe the evolution of particle systems, where
particles are characterized by their sizes. In a fragmentation process,
each particle splits at a rate which depends on its size, and independently
of the other particles. In a coalescent process, coagulations occur
at rates which depend only on the particles involved in the merging,
and not on the other particles in the system. We will start by developing
the theory of fragmentation chains, that is processes in which each
fragment remains stable for some random time and then splits; and
then we go to the general situation where each fragment may split
instantaneously. We can consider two different types of coalescent
processes: exchangeable coalescents, where rates of coagulation do
not depend on the masses in the system and coagulations may occur
simultaneously and involve an arbitrary number of components, and
stochastic coalescents, where only binary coagulations are permitted
and the rate of such coagulation may depend on the two fragments involved.
The prerequiste for this topics course is a solid background in probability
theory (like Math 561). Text: Random Fragmentation and Coagulation
Processes by Jean Bertoin. Meets Mar 10 - Apr 30, 2008 |
| Math
595 |
ZFT |
48258 |
Polytopes
and Lattice Points (Z. Furedi)
The aim of this course is twofold. First, a short introduction to
the basic methods of combinatorial geometry and computation by reviewing
important notions, results and problems, and investigate beautiful
polytopes. Second, to supply a series of research problems to interested
students on or close to thesis level. Some of the topics: We select
a few chapters from the above book: Helly, Charatheodory and Radon
theorem and their generalizations. Shelling, Upper bound theorem.
Volumes, lattice width Geometric discrepancy. Text: J. Matousek: Lectures
on Discrete Mathematics, Graduate Text in Math., Springer 2002. The
knowledge of the materials covered by the following courses is very
helpful: Math 242 (Calculus of several variables), Math 403 (Eucledian
geometry), Math 415 (Linear algebra), Math 417 (Abstract algebra),
Math 447 (Real analysis). Prerequisites: Math 580 or consent of instructor.
Meets Mar 10 - Apr 30, 2008 |
Course
Catalog | Course
Schedule
|