University of Florida, Department of Electrical and Computer Engineering

EEL 6825 -- Pattern Recognition

Spring 2016 Calendar


  Monday Wednesday Friday
Week 1
January 4

No Class
January 6

Topic: Introduction to Pattern Recognition
Reading Assignment: Chap. 1
January 8

Topic: Introduction to Pattern Recognition
Reading Assignment: Chap. 1
Week 2
January 11

Topic: Bayesian Decision Theory Part I
Reading Assignment: Chap. 2
January 13

Topic: Bayesian Decision Theory Part I
Reading Assignment: Chap. 2
January 15

Topic: Bayesian Decision Theory Part I
Reading Assignment: Chap. 2
Week 3
January 18
No class
Martin Luther King, Jr.'s Birthday
January 20

Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
January 22

Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
Week 4
January 25

Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
January 27

Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
January 29

Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
Written Assignment: Homework 1
Week 5
February 1

Topic: Maximum Likelihood Estimation
Reading Assignment: Chap. 3
February 3

Topic: Maximum Likelihood Estimation
Reading Assignment: Chap. 3
February 5

Topic: Expectation Maximization (EM)
Reading Assignment: Chap. 3
Written Assignment: Homework 2
Homework 1 due
Week 6
February 8

Topic: Bayesian Estimation
Reading Assignment: Chap. 3
February 10

Topic: Bayesian Estimation
Reading Assignment: Chap. 3
February 12

Topic: Bayesian Estimation
Reading Assignment: Chap. 3
Homework 2 due
Week 7
February 15

Topic: Bayesian Estimation
Reading Assignment: Chap. 3
February 17

Topic: Bayesian Estimation
Reading Assignment: Chap. 3
February 19

 Topic: Bayesian Estimation
Reading Assignment: Chap. 3
Week 8
February 22

Topic: Bayesian Estimation
Reading Assignment: Chap. 3
Written Assignment: Homework 3
February 24

   Topic: Graphical Models
Reading Assignment: Chap. 3
February 26

 Topic: Graphical Models
Reading Assignment: Chap. 3
Week 9
February 29

Spring Break
No Class
March 2

Spring Break
No Class
March 4

Spring Break
No Class
Week 10
March 7

Topic: Graphical Models
Reading Assignment: Chap. 3
Homework 3 due
March 9

Topic: Graphical Models
Reading Assignment: Chap. 3
March 11

Topic: Graphical Models
Reading Assignment: Chap. 3
Project proposal due
Week 11
March 14

 Topic: Graphical Models
Reading Assignment: Chap. 3
March 16

Topic: Graphical Models
Reading Assignment: Chap. 3
March 18

Topic: Graphical Models
Reading Assignment: Chap. 3
Week 12
March 21
Topic: Regression
Reading Assignment: Chap. 3 (Bishop)
March 23
Topic: Regression
Reading Assignment: Chap. 3 (Bishop)
March 25
Topic: Regression
Reading Assignment: Chap. 3 (Bishop)
Week 13
March 28

Topic: Regression
Reading Assignment: Chap. 3 (Bishop)
March 30

Topic: Regression
Reading Assignment: Chap. 3 (Bishop)
April 1

Topic: Nonparametric Techniques
Reading Assignment: Chap. 4
Week 14
April 4
Topic: Nonparametric Techniques
Reading Assignment: Chap. 4
April 6
Topic: Clustering
Reading Assignment: Chap. 10
April 8
Topic: Clustering
Reading Assignment: Chap. 10
Week 15
April 11

Topic: Clustering
Reading Assignment: Chap. 10
April 13

Topic: Clustering
Reading Assignment: Chap. 10
Written Assignment: Homework 4
April 15

Topic: Kernel Methods
Reading Assignment: Chap. 6 (Bishop)
Week 16
April 18

Topic: Kernel Methods
Reading Assignment: Chap. 6 (Bishop)
April 20

Topic: Deep Learning
Homework 4 due
April 22

No class
Week 17
April 25

No class

 

April 27

No Class

Project report due at 4pm

April 29

No Class