University of Illinois at Urbana-ChampaignDepartment of Mathematics
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Timetable Information for Spring 2008

Topics Courses

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


Department of Mathematics
273 Altgeld Hall, MC-382
1409 W. Green Street, Urbana, IL 61801 USA
Telephone: (217) 333-3350    Fax: (217) 333-9576     Email: office@math.uiuc.edu