Spring 2013 CSCI 334

= Course Description = A course covering data mining concepts, methodologies, and programming. Topics include decision tables and trees, classification and association rules, clustering, pattern analysis, and linear and statistical modeling. Additional topics may include data cleaning and warehousing and techniques for text and web mining.

= Syllabus = [[Media:CSCI_334_Syllabus_Spring_2013.pdf|Download PDF version here]]

= Facebook Group = https://www.facebook.com/groups/475661622480402/

= Department of Computer Science = [[Media:Computer_Science_Guide.pdf|Guide to the Computer Science Department]]

= Videos = Folder containing all of the videos

= Schedule = You are responsible for reading the chapters covered in lecture.

Week 1 (Jan 9, 11)

 * Chapter 1 - Introduction

Week 2 (Jan 14, 16, 18)

 * Chapter 2 - Linear Discriminants

Week 3 (Jan 21, 23, 25)

 * Chapter 2 - Linear Discriminants

Week 4 (Jan 28, 30, Feb 1)

 * Chapter 3 - Multi-Layer Perceptron

Week 5 (Feb 4, 6, 8)

 * Chapter 3 - Multi-Layer Perceptron

Week 6 (Feb 11, 13, 15)

 * Chapter 6 - Learning with Trees

Week 7 (Feb 18, 20, 22)

 * Chapter 7 - Decision by Committee: Ensemble Learning

Week 8 (Feb 25, 27, Mar 1)

 * Chapter 8 - Probability and Learning

Week 9 (Mar 4, 6, 8)
Spring break

Week 10 (Mar 11, 13, 15)

 * Chapter 8 - Probability and Learning

Week 11 (Mar 18, 20, 22)

 * Chapter 9 - Unsupervised Learning

Week 12 (Mar 25, 27, 29)

 * Chapter 10 - Dimensionality Reduction

Week 13 (Apr 1, 3, 5)

 * Chapter 11 - Optimization and Search

Week 14 (Apr 8, 10, 12)

 * Chapter 12 - Evolutionary Learning

Week 15 (Apr 15, 17, 19)

 * Chapter 14 - Markov Chain Monte Carlo (MCMC) Methods
 * Chapter 15 - Graphical Models

Week 16 (Apr 22, 24, 26)

 * Student driven review
 * Last day of class on April 24th
 * Reading day on April 25th
 * Final exams begin on April 26th

Final Exam
Friday, April 26 from 12 PM - 3 PM

= Assignments =
 * You must also read each chapter before lecture
 * Due Friday, January 25th by 5 PM
 * Problems 2.1 - 2.8
 * Due Friday, February 8 by 5 PM
 * Problems 3.1, 3.3 - 3.10
 * Due Friday, February 15 by 5 PM
 * https://docs.google.com/document/d/1mNYKnLXKhp3bLbbIoo7Rw1z2zCP6xqlKgjcT_fLJ9xY/edit?usp=sharing
 * Due Friday, February 22 by 5 PM
 * Problems 6.1 - 6.7
 * Due Friday, March 1 by 5 PM
 * Problems 7.3 - 7.5
 * Due Friday, March 15 by 5 PM
 * See Facebook group for the rest of the homework