Math 430 (Mathematical Modeling)

Syllabus
My schedule
Homework list
JS page


data files

A Matlab intro

Notes: notes parts 1 and 2   notes part 3   Math 382 textbook  

Some advice on presentations


Week
T
R
1
Curve-fitting (OM/JS)
Homework 1   Class 1
Some modeling examples (OM)   Class 2
Project 1
2
Curve-fitting (OM)
Homework 2   Class 3
Project 1 preliminary
3

Dimensional analysis (OM)
Project 1 presentations
4

DE modeling (JS)
DE modeling (JS)
5

DE modeling (JS)
DE modeling (JS)
6
DE modeling (JS)
Project 2 preliminary
7
Stochastic modeling (OM): simulation   Class 13
Project 2 presentations
8
Stochastic modeling (OM): CI and fitting   Class 15   Homework 5
Stochastic modeling (OM): fitting and checking
Project 3
9
Stochastic modeling (OM): difference equations and wildlife simulation   Class 17  
Markov Chains(OM). Homework 6
Class 18
10
Project 3: preliminary reports  
Work day
11
Project 3 presentations  
KL decomposition
12
KL deco. cont'd
Time delay embedding
13
Project 4   Fitting DA to data   Hw7 (due 11/18) 
Continue VF reconstruction
14
Classification (OM) Class 27
Classification/ Neural Networks Class 28
15
Project4 preliminary
Txgiving
16
TBA
Project 4 final presentation. Reports due December 7


Maintained by Oleg Makhnin (olegm att nmt edu)