Lectures¶
Week 
Day 
Date 
Topic 
Due 

1 
R 
26Aug 
Signal Processing Review (PDF) 

2 
T 
31Aug 
Linear Prediction (PDF) 

R 
2Sep 
LPC10 Speech Coding (PDF) 

3 
T 
7Sep 

R 
9Sep 
Multidimensional Signal Processing (PDF; onenote; ipynb; html) 

4 
T 
14Sep 

R 
16Sep 

5 
T 
21Sep 

R 
23Sep 
Exam 1 Review (PDF) 

6 
T 
28Sep 
Exam 1 

R 
30Sep 
Gaussian and Mixture Classifiers (PDF) 

7 
T 
5Oct 
PCA (PDF) 

R 
7Oct 
Expectation Maximization (PDF) 

8 
T 
12Oct 

R 
14Oct 

9 
T 
19Oct 
Numerical Issues (PDF) 

R 
21Oct 
Neural Nets (PDF) 

10 
T 
26Oct 
Backpropagation (PDF) 

R 
28Oct 
Exam 2 Review (PDF; Problem 3 solution) 

11 
T 
2Nov 
Exam 2 

R 
4Nov 
Convolutional Neural Networks (PDF; forward.gif; backward.gif; onenote ) 

12 
T 
9Nov 
Faster RCNN (PDF ) 

R 
11Nov 

13 
T 
16Nov 
MP5 due Wednesday 

R 
18Nov 
LSTM (PDF) 

14 
T 
30Nov 
Pytorch Intro & MP6 Walkthrough 

R 
2Dec 

15 
T 
7Dec 
MP6 due Wednesday 

13Dec 
Final Exam 