CSCI 567
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CSCI-567 Schedule (fall 2007)

DateDescriptionChaptersSlidesComments
Aug 28Lecture 1
Overview/Introduction
1, 2.1 lecture1a.pdf 
Aug 30Lecture 2
Hypothesis spaces
2.7-2.10 lecture1b.pdf 
Sep 4Lecture 3
Space of Algorithms
Linear Threshold Classifiers
2.7-2.10
10.1-10.4
lecture2a.pdf 
Sep 6Lecture 4
Project details
Perceptrons
Logistic Regressipon
11.1-11.4
10.6-10.7
lecture2b.pdfHW 1 given out
Sep 11Lecture 5
Linear Discriminant Analysis
6.6
5.1-5.5
lecture3a.pdf 
Sep 13Lecture 6
Off-The-Shelf Learning Algorithms
Decision Trees
9.1-9.3 lecture3b.pdf 
Sep 18Lecture 7
Decision Trees (cont)
  lecture4a.pdfHW 1 due
HW 2 given out
Sep 20Lecture 8
Nearest Neighbor
8.1-8.5 lecture4b.pdfProject pre-proposals due (1 page)
Sep 25Lecture 9
Neural networks
11.5-11.7 lecture5a.pdfHW 3 given out
Sep 27Lecture 10
Neural networks (cont)
  lecture5b.pdfHW 2 due
Oct 2Lecture 11
Bayesian Learning
Appendix A lecture6a.pdf 
Oct 4Lecture 12
Bayesian Learning (cont)
3.1-3.4, 3.7
4.4-4.51
lecture6b.pdf 
Oct 9Lecture 13
Support Vector Machines
10.9 lecture7a.pdfHW 3 due
Project proposals due
Oct 11Lecture 14
Support Vector Machines (cont)
  lecture7b.pdf 
Oct 16MIDTERM     
Oct 18Lecture 15
Learning Theory
2.2-2.3 learning-theory.pdf 
Oct 23NO CLASS - MAKEUP CLASS ON OCT 26     
Oct 25NO CLASS - (tentative makeup class on Nov 9)     
Oct 26
(make up class)
3:30pm-4:50pm
GFS 116
Lecture 16
Learning Theory (cont)
    
Oct 30Lecture 17
Learning Theory finished
Bias/Variance Theory & Ensemble Methods
4.3
15.1-15.5
bias-variance.pdfHW 4
Nov 1Lecture 18
Bias/Variance Theory & Ensemble Methods (cont)
    
Nov 6Lecture 19
Bias/Variance Theory & Ensemble Methods finished
Preventing Overfitting: Penalty and Hold-out methods
4.7-4.9 overfitting.pdf 
Nov 8Lecture 20
Overfitting finished
Hold-Out and Cross-validation Methods
14.1-14.2  HW 4 due
HW 5
adult-train-small.arff
Nov 9 (make up class)
3:30-4:50pm
GFS 101
Lecture 21
Penalty methods: decision trees, neural nets, SVMs
8.6-8.8 penalty-methods.pdf 
Nov 13Lecture 22
Evaluating and Comparing Classifiers
14.3-14.9 evaluation-of-classifiers.pdf 
Nov 15Lecture 23
Unsupervised Learning
7 unsupervised-learning.pdf 
Nov 20Lecture 24
Unsupervised Learning (cont)
7  HW 5 due
Nov 22Thanksgiving - No class     
Nov 27No class - saved for presentations (Dec 4)     
Nov 29No class - saved for presentations (Dec 6)     
Dec 4
3:30-4:50pm GFS 116
5:00-6:20pm GFS 118
Lecture 25-26
Project Presentations 1 (double class)
    
Dec 6
3:30-4:50pm GFS 116
5:00-6:20pm GFS 118
Lecture 27-28
Project Presentations 2 (double class)
    
Dec 13FINAL: 7-9pm     
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