Date 
Lecture 
Topic 
Lecture
Notes 
Videos 
Jan.
28 
1 

Feb.
4 
2 
Simple
Examples. Canonical Information 

Feb.
11 
3 
Simple
Linear Regression 

Feb.
18 
4 
Curve
Fitting. 

Feb.
25 
5 
Introduction
to Optimal Linear Estimation. HW #2 Comments, 

Mar.
3 
6 
Linear
Experiment. Optimal
Estimation. 

Mar.
10 
7 
Optimal
Estimation Examples. Combining
Linear Experiments. Canonical Information. 

Mar.
17 
8 
Optimal
Estimation with a Priori Information. Updating
a Priori Information. 

Mar.
24 
9 
Manipulating
Information in Various Forms. Intro to HW#4. GaussMarkov Theorem. 

Mar.
31 
10 
Linear
Estimation with Unknown Scale of Noise. Optimal
Estimation with Uncertainty in A. 

Apr.
7 

Spring Break. Have a good time! 


Apr.
14 
11 
Calibration
Problem. 

Apr.
21 
12 
Canonical
Calibration Information. Real
Time Signal Processing Intro. 

Apr.
28 
13 
Real
Time Signal and Image Processing. Topics
for Final Projects. 

May
5 
14 
Real
Time Signal and Image Processing Summary. Parallel
Computations. Final
Projects Tech Comments. 






Final
Project Topics 

May 12 (Th) 1:403:40, Math 311 1.
Project #1 Calibration 2.
Project #2 Signal Processing 


Last modified: May 8, 2016
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to: peter.golubtsov@umontana.edu