Date 
Main Topic ... Supplementary Material 
Assignments 
Thu, Sep 17 
Course mechanics, introduction to modeling
 
Tue, Sep 22 
Simulation, population genetics
notes (epidemics)
notes (pop. genetics) 

Thu, Sep 24 
Using random numbers
notes (RNGs)
plotting
workshop/epidemiology


Tue, Sep 29 
Interpreting results, descriptive statistics
notes (statistics)
notes (binomial)
 
Thu, Oct 1 
Simulation: some examples
 
Tue, Oct 6 
Integration*
notes (integ.)
notes (Simpson)
BlackScholes73
symbolic computation
666 
Assignment 1 due 
Thu, Oct 8 
Root finding, 1d*
notes (root finding)
Press et al. example
zoom
zoom
NR basins
lots of zeros


Tue, Oct 13 
Optimization (1d)*
notes (Optimization) 

Thu, Oct 15 
higher dimensions (con't)
animation (wikipedia)
examples:
umich
IIR filters 

Tue, Oct 20 
Constrained optimization, linear programming
examples:
diet$
portfolio$
FIR filters 

con't 
NPcompleteness (sketch)
local search applications:
mincost networks 

con't 
nat. gas pipelines
flowshop problem
gatech/proctor & gamble 

Thu, Oct 22 
ODEs, basics
notes (ODEs)
notes (ODEs)
ODEs in Matlab and Maple
ditto
H1N1 study


Tue, Oct 27 
notes (accuracy and stability) 
Assignment 2 due 
Thu, Oct 29 
Chaos
notes (chaos)
chaos
Phillips curve
Barry Adams site
CAs
sonification
nonlinear pendulum


Tue, Nov 3 
No class  fall break 

Thu, Nov 5 
No class  fall break 

Tue, Nov 10 
PDEs
notes (PDEs)


Thu, Nov 12 
PDEs cont., heat & wave eqns.
notes (PDEs)
more
Dan Russell
2 waves
string
membrane


Tue, Nov 17 
Solitons¶
FPU 55
Dauxois08
Soliton computing:
up to 2001
up to 2008
soliton collision


Thu, Nov 19 
Sampling, DFT, FFT¶
notes (sampling, etc.)
sampling and aliasing*
Northern Cardinal


Tue, Nov 24 
using the FFT¶
notes (using the FFT, etc.)
matlab intro§
Cardinal II

Assignment 3 due 
Thu, Nov 26 
No class  Thanksgiving break 

Tue, Dec 1 
more on using the FFT¶


Thu, Dec 3 
Signal processing*
notes (2D FFT and image processing)
two dies
Brayer/unm
goofy
jpg (Smith)


Tue, Dec 8 
Local search¶
Solving linear systems*
examples
Great Lakes


Thu, Dec 10 
Data modeling and least squares fitting*
more least squares*


Tue, Dec 15 
More approaches to "intractable" problems¶
Linear systems: iterative and sparse methods*
Lord Kelvin¶
Japan

Assignment 4 due 
Thu, Dec 17 
Discussion of student term paper proposals

Project prop. due 
Reading per. 
Term paper presentations, click
here for schedule 
Presentation due 
Tue, Jan 12 
Dean's date 
Project due 