Class Time: TF 1011:50AM
Room: Darrin 337
Instructor Office Hours: Lally 307, Tue 122pm
TA: Amr Elsisy
TA Office Hours: AE 217, Mon & Thurs 2:303:30pm
TA Contact:
Table of Contents (hide)

A tentative sequence of topics to be covered in the classes; changes are likely as the course progresses.
Day: Date  Topic  Readings  Lectures 

F: Sep 1  NO CLASS (Religious Holiday)  
T: Sep 5  Data Mining and Analysis: Algebraic and Probabilistic Views  Chapter 1  Attach:lecture1.pdf 
F: Sep 8  Numeric Attributes  Chapter 2  Attach:lecture2.pdf 
T: Sep 12  Numeric Attributed & Dimensionality Reduction I  Chapters 2 & 7  Attach:lecture3.pdf 
F: Sep 15  Principal Component Analysis  Chapter 7  Attach:lecture4.pdf 
T: Sep 19  High Dimensional Data Analysis & Kernel Methods  Chapters 6, 5  Attach:lecture5.pdf 
F: Sep 22  Kernel Methods & Kernel PCA  Chapter 5, 7  Attach:lecture6.pdf 
T: Sep 26  Linear Discriminant Analysis & Regression  Chapter 20; see Attach:regression.pdf  Attach:lecture7.pdf 
F: Sep 29  Regression  Read: Attach:regression.pdf  Attach:lecture8.pdf 
T: Oct 3  Ridge, Kernel and Logistic Regression  Read: Attach:logistic_regression.pdf  Attach:lecture9.pdf 
F: Oct 6  EXAM I  
T: Oct 10  NO CLASS (Mon Schedule)  
F: Oct 13  SVMs  Chapter 21  Attach:lecture10.pdf 
T: Oct 17  Bayes Classifier  Chapter 18  Attach:lecture11.pdf 
F: Oct 20  KNN & Decision Trees  chapters 19  Attach:lecture12.pdf 
T: Oct 24  Classifier Evaluation  Chapter 22  Attach:lecture13.pdf 
F: Oct 27  Classifier Evaluation II  Chapter 22  Attach:lecture14.pdf 
T: Oct 31  Emsembles  Chapter 22  Attach:lecture15.pdf 
F: Nov 3  Neural Networks  See Piazza Resources  Attach:lecture16.pdf 
T: Nov 7  EXAM II  
F: Nov 10  Deep Learning  Attach:lecture17.pdf  
T: Nov 14  Kmeans/EM Clustering  Chapter 13  Attach:lecture18.pdf 
F: Nov 17  Hierarchical Clustering, Density Clustering  Chapters 14, 15  Attach:lecture19.pdf 
T: Nov 21  Density Clustering, Spectral & Graph Clustering  Chapters 15,16  Attach:lecture20.pdf 
F: Nov 24  NO CLASS (Thanksgiving Break)  
T: Nov 28  Spectral/Graph Clustering  Chapter 16  Attach:lecture21.pdf 
F: Dec 1  Cluster Evaluation  Chapter 17  Attach:lecture22.pdf 
T: Dec 5  Itemset Pattern Mining  Chapter 8  Attach:lecture23.pdf 
F: Dec 8  Itemset Pattern Mining  Chapter 8  Attach:lecture24.pdf 
T: Dec 12  EXAM III 