University of Florida, Department of Electrical and Computer Engineering

EEL 6825 -- Pattern Recognition and Intelligent Systems

Spring 2022 Calendar

  Monday Wednesday Friday
Week 1
January 3
 
January 5
Topic: Introduction to Pattern Recognition
Reading Assignment: Chap. 1
January 7
Topic: Introduction to Pattern Recognition
Reading Assignment: Chap. 1
Week 2
January 10
Topic: MoCA Principle for AI
January 12
Topic: MoCA Principle for AI
January 14
Topic: Deep Learning
Week 3
January 17
No class
Martin Luther King, Jr. Day
January 19
Topic: Deep Learning
January 21
Topic: Deep Learning
Week 4
January 24
Topic: Deep Learning
January 26
Topic: Bayesian Decision Theory Part I
Reading Assignment: Chap. 2
January 28
Topic: Bayesian Decision Theory Part I
Reading Assignment: Chap. 2
Week 5
January 31
Topic: Bayesian Decision Theory Part I
Reading Assignment: Chap. 2
February 2
Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
February 4
Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
Week 6
February 7
Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
February 9
Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
February 11
Topic: Bayesian Decision Theory Part II
Reading Assignment: Chap. 2
Written Assignment: Homework 1
Week 7
February 14
Topic: Maximum Likelihood Estimation
Reading Assignment: Chap. 3
February 16
Topic: Maximum Likelihood Estimation
Reading Assignment: Chap. 3
February 18
 Topic: Expectation Maximization (EM)
Reading Assignment: Chap. 3
Written Assignment: Homework 2
Homework 1 due
Week 8
February 21
Topic: Bayesian Estimation
Reading Assignment: Chap. 3
February 23
Topic: Bayesian Estimation
Reading Assignment: Chap. 3
February 25
Topic: Bayesian Estimation
Reading Assignment: Chap. 3
Homework 2 due
Week 9
February 28
Topic: Bayesian Estimation
Reading Assignment: Chap. 3
March 2
Topic: Bayesian Estimation
Reading Assignment: Chap. 3
March 4
Topic: Bayesian Estimation
Reading Assignment: Chap. 3
Written Assignment: Homework 3
Week 10
March 7
Spring Break
No Class
March 9
Spring Break
No Class
March 11
Spring Break
No Class
Week 11
March 14
Topic: Graphical Models
Reading Assignment: Chap. 3
Homework 3 due
March 16
Topic: Graphical Models
Reading Assignment: Chap. 3
March 18
Topic: Graphical Models
Reading Assignment: Chap. 3
Project proposal due
Week 12
March 21
Topic: Graphical Models
Reading Assignment: Chap. 3
March 23
Topic: Graphical Models
Reading Assignment: Chap. 3
March 25
Topic: Graphical Models
Reading Assignment: Chap. 3
Week 13
March 28
Topic: Causal Inference
March 30
Topic: Causal Inference
April 1
Topic: Causal Inference
Week 14
April 4
Topic: Regression
Reading Assignment: Chap. 3 (Bishop)
April 6
Topic: Regression
Reading Assignment: Chap. 3 (Bishop)
April 8
Topic: Nonparametric Techniques
Reading Assignment: Chap. 4
Week 15
April 11
Topic: Clustering
Reading Assignment: Chap. 10
April 13
Topic: Clustering
Reading Assignment: Chap. 10
April 15
Topic: Clustering
Reading Assignment: Chap. 10
Written Assignment: Homework 4
Week 16

April 18

Topic: Support Vector Machines
Reading Assignment: Chap. 6 (Bishop)

April 20

Quiz

April 22

No Class
Homework 4 due
Week 17
April 25
No class
April 27

No class

Project report due at 4pm
April 29
No class