Description
In this course, students will learn principles and practices of basic numerical computation. This is a key aspect of scientific computation. Topics include:
- numerical error and stability
- floating point number systems
- interpolation
- approximation by splines
- differential equations
- fast Fourier transforms
- solution of linear equations
These topics will be presented in the context of specific applications to image processing, analysis of data, and scientific modeling and visualization.
- numerical error and stability
- floating point number systems
- interpolation
- approximation by splines
- differential equations
- fast Fourier transforms
- solution of linear equations
These topics will be presented in the context of specific applications to image processing, analysis of data, and scientific modeling and visualization.
General Information
Lecture Section 1
Instructor: Christopher Batty
Date/time: MWF 11:30-12:20pm, MC4040
Date/time: MWF 11:30-12:20pm, MC4040
Lecture Section 2
Instructor: George Labahn
Date/time: MWF 9:30-10:20am MC2035
Date/time: MWF 9:30-10:20am MC2035
Lecture Section 3
Instructor: Christopher Batty
Date/time: MWF 4:30-5:20pm, MC2034
Date/time: MWF 4:30-5:20pm, MC2034
Name | Office Hours | |
---|---|---|
George Labahn | When? Where? | |
Li Liu | When? Where? | |
Christopher Batty | When? Where? | |
Junnan Chen | When? Where? | |
Yongqi An | When? Where? | |
Yuhao (Kyle) Xie | When? Where? | |
Ellen Arteca | When? Where? |