Computational Science and Applied Mathematics
Courses for Fall 1997
- Math 417 Complex Variables with Applications
Time=12MWF Room=310TH Call=62955 Instructor=S. Friedlander
Complex numbers, analytic functions, complex integration, Taylor and
Laurent series, residue calculus, branch cuts, conformal mapping,
argument principle, Rouche's theorem, Poisson integral formula,
Grade C or better in Math 210.
Click Here for Math 417 Syllabus page
- CANCELLED: Math 419 Models in Applied Math
Introduction to mathematical modeling; scaling, graphical methods,
optimization, computer simulation, stability, differential equation models,
elementary numerical methods, applications in biology, chemistry, engineering
Grade of C or better in MCS 190 or 260; and Math 220.
Click Here for MCS 419 Class Page
Click Here for MCS 419 Generic Syllabus Page
- Math 480 Applied Differential Equations
Time=2MWF Room=305TH Call=63017 Instructor=E. M. Barston
Linear first-order systems. Numerical methods. Nonlinear
differential equations and stability. Introduction
to Partial differential equations. Sturm-Liouville theory. Boundary
value problems and Green's functions.
Grade of C or better in Math 220 Elementary Differential Equations.
Click Here for Math 480 Syllabus page
- Math 494 Survival Models (Special Topics in Mathematics)
Time=3MWF Room=312TH Call=16297 Instructor=G. V. Ramanathan
See Prof. Ramanathan about this Actuarial Mathematics course.
Approval of the department.
- Math 580 Physical Principles of Applied Mathematics I
Time=10MWF Room=316TH Call=63271 Instructor=N. E. Berger
Development of concepts and techniques basic to key mathematical models
of physical phenomena; particularly discrete and continuum mechanics;
derivation of the equations of fluid mechanics and elasticity.
Math 410 and 417 and 481.
Core course: Mathematical Sciences Preliminary Examination.
Click Here for Math 580 Syllabus page
- MCS 572 Introduction to Supercomputing
Time=2MWF Room=320TH Call=64119 Instructor=F. B. Hanson
Introduction to supercomputing on vector, parallel and massively parallel
processors; architectural comparisons, parallel algorithms, vectorization
techniques, parallelization techniques, actual implementation on real machines
(Crays, Convex Exemplar and others).
Experience in Numerical Methods or consent of the instructor.
Core course: High Performance Computing Preliminary Examination.
Click Here for MCS 572 Homepage
- MCS 590 Math and Information Sciences for Industry (MISI) Workshop
(Special Topics in Computer Science)
Time=2F Room=700SEO Call=64153 Instructor=R. L. Grossman
This course is centered around one or more "industrial" problems. The goal of
the course is to provide an opportunity for students to use mathematics to work
on problems arising from industrial applications. The course will cover:
mathematical modeling, problem formulation, problem analysis, problem solution,
developing software to implement the solution, validating the software,
analyzing the results, documenting the problem and its solution, and
communicating the results.
Prerequisites: Prior coursework in algorithms, applied
mathematics, and C programming, or consent of instructor.
Core course: Proposed Industrial Mathematics (MISI) Program.
Click Here for MCS 590 Homepage
Web Source: http://www.math.uic.edu/~hanson/CSAM-F97Courses.html
Email Comments or Questions to Professor Hanson