Teaching Issues
- Teaching Numerical Analysis/Numerical Methods/Scientific
Computing
at Undergraduate Level
-
Speakers and Talks at Minisymposium on Teaching Issues:
- Mei Chen, Dept. of Mathematics and Computer Science, The Citadel
session Introduction(Abstract)
- Robert E. White, Dept. of Mathematics, North Carolina State
University
Computational Mathematics or Science for Undergraduates
(Abstract)
- Prashant Sansgiry, Coastal Carolina University
Teaching Numerical Analysis at a Liberal Arts College
(Abstract)
- Bob Funderlic, Dept. of Computer Science, NCSU
Numerical Computing for the Computer Science Student
(Abstract)
- Jurgen Gerlach, Dept. of Mathematics and Statistics, Radford
University
A Look at Numerical Analysis Texts throughout the times
(Abstract)
- Martha L. Abell and Stuart Davidson, Dept. of Mathematics and
Computer Science, Georgia Southern Univ.
Introducing Numerical Methods in Lower Level Mathematics
Courses
(Abstract)
- Shan Manickam and Michael Dolan, Dept of Mathematics and Computer
Science,
Western Carolina University
Teaching Generalized Inverses of Matrices using MATLAB
(Abstract)
- Meghan Burke, Dept. of Mathematics, Kennesaw State University
Mathematics Projects in Biology and Chemistry
(Abstract)
- Teaching Issues:
- Curriculum changes
- from numerical analysis to numerical methods
- students with different background: math and cs students
- Topics covered in
- an one-semester course
- floating-point computation
- finding zeros of functions
- direct methods for solving systems of linear equations
- interpolation
- numerical differentiation and integration
- a two-semester sequence
- approximation
- numerical solutions of ordinary differential equations
- iterative methods for solving systems of linear equations
- eigenvalue problems
- error analysis
- Should topics listed below be added? Is there time for new topics?
- wavelets
- parallel computing
- scientific computing
Teaching: analysis, methods, implementation, applications
- derivation
- implementation
- error analysis
- convergence analysis
- applications
Textbooks
Programming language and Technology
- Fortran
- MatLab, Maple or Mathematica
- C, C++
- Java
Applications
- real-world problems
- projects