MAT 357  Numerical Analysis 
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This course covers the numerical techniques arising in many areas of computer science and applied mathematics. Such techniques provide essential tools for obtaining approximate solutions to nonlinear equations arising from the construction of mathematical models of realworld phenomena. Topics of study include rootfinding, interpolation, approximation of functions, cubic splines, integration, and differential equations. Further topics may include stability, iterative methods for solving systems of equations, eigenvalue approximation, and the fast Fourier transform. Prerequisites: MAT 250, MAT 258 
Fall 2018  semester details 

schedule  WF 3:304:50PM in AVERY (SR 4D) 
text  Numerical Methods in Engineering with Python 3 by Jaan Kiusalaas 
documents  updated uploads 
course docs  contains the syllabus, project 1 and 2 specifications, notes on interpolation and finite difference schemes, solutions to homework 1 through 7 
contact  meeting by appointment 
mat357@mdvsamson.work  please send me your available times when requesting a meeting 
office hours  where and when I am in office 
announcements  
8 november 2018  This is a reminder that the second examination will be given tomorrow, November 9, in Van Gogh (SR 4E), from 3:30 to 5:00. The coverage will be numerical differentiation methods:

The second project is also due tomorrow. The specifications for the third project will be given next week.  
9 october 2018  This is a reminder that the first examination will be given tomorrow, October 10, in Van Gogh (SR 4E), from 3:30 to 5:00. The coverage will be interpolation methods:

The first project is also due tomorrow. The specifications for the second project will be given tomorrow. 