Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: rob.JPG

DR. MUGIZI ROBERT RWEBANGIRA

-INSTRUCTOR


 

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Ade

David

Kristian

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Rhonda

Robert

Seun

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Shawna

Sulaimon

Tonique

 

Syllabus

Grades

 

SPRING 2010 CLASS

SPRING 2011 CLASS

 

Date

Day

Lec #

Topic

Materials

1/9

M

1

What is Machine Learning? Probability Review. Bayes Rule

1/11

W

2

Introduction to Octave/Matlab(variables, colon notation)

1/16

M

MARTIN LUTHER KING JR DAY

1/18

W

3

More on Octave (matrix operations)

1/23

M

4

Simple Linear Regression

1/25

W

5

Linear Regression (one variable)

 

1/30

M

6

Linear Regression (one variable)

 

2/1

W

7

Linear Regression (multiple variables, polynomial regression)

2/6

M

8

NaÔve Bayes Classifier

 

2/8

W

9

NaÔve Bayes Classifier (continued)

 

2/13

M

10

Perceptron

 

2/15

W

11

Perceptron (continued)

2/20

M

PRESIDENTíS DAY

 

2/22

W

!!! TEST 1!!!

2/27

M

12

Perceptron (continued)

2/29

W

13

Gradient Descent

3/5

M

14

Gradient Descent (continued)

 

3/7

W

MIDTERM

3/12

M

SPRING BREAK

 

3/14

W

SPRING BREAK

 

3/19

M

15

Artificial Neural Networks

3/21

W

16

Artificial Neural Networks (continued)

 

3/26

M

!!CLASS CANCELLED!!

3/28

W

!!CLASS CANCELLED!!

4/2

M

17

Project Presentations

4/4

W

!!CLASS CANCELLED!!

 

4/9

M

18

Project Presentations

4/11

W

19

Project Presentations

4/16

M

20

Project Presentations

4/18

W

21

Project Presentations