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Course Schedule / Reading / Assignments (Fall 2005)

This schedule is subject to change, and should be used as a guide only.

Updated 7 December 2006

WkDateTopic, Assignments
1Aug 29 Introduction and Overview of course
Aug 31 Probability, Entropy, and Inf.Th. (1)
2Sep 05 Probability, Entropy, and Inf.Th. (2)
Assignment 1 out: Statistical Foundations
Sep 07 Probability, Entropy, and Inf.Th. (3)
3Sep 12 Decision Trees (1)
Sep 14 Decision Trees (2)
4Sep 19 no class
Sep 21 Latent Variable Models for Clustering & DimReduct (1)
Assignment 1 due
Assignment 2 out: Decision Trees
5Sep 26 Latent Variable Models for Clustering & DimReduct (2)
Sep 28 Neural Networks (1)
6Oct 03 Neural Networks (2)
Oct 05 Neural Networks (3)
Assignment 2 due
7Oct 10 Midterm Review
Oct 12 class cancelled
8Oct 17 class cancelled
Oct 19 Midterm Exam
9Oct 24 Expectation-Maximization (EM) for hidden variables (1)
Oct 26 Expectation-Maximization (EM) for hidden variables (2)
Assignment 3 out: Mixture models & Dimensionality Reduction
10Oct 31 Graphical Models (1)
Nov 02 Graphical Models (2)
11Nov 07 Time Series Models (1)
Assignment 4 out: Neural Networks
Nov 09 Time Series Models (2)
Assignment 3 due
12Nov 14 Reinforcement Learning
Nov 16 Capacity of the single neuron / VC theory
Assignment 5 out: EM & Graphical Models
Project component begins
13Nov 21 Support Vector Machines (1)
Assignment 4 due
Nov 23 no lecture: Fall Recess
14Nov 28 Support Vector Machines (2)
Nov 30 Maximum-Entropy and Conditional Random Fields
15Dec 05 Project open discussion session
Assignment 5 due
Dec 07 Course Syllabus Review (LAST LECTURE)
Exam room allocation announced
16Dec 11
MONDAY Final Exam 03:30 PM - 06:30 PM ALUMNI 97
This examination dominates Prof. Scott's exam at the same time.
It is your responsibility to arrange an alternative time for Prof. Scott's examination.
Please arrive 10 minutes early to peruse the examination paper.
Dec 14 THURSDAY Projects electronically submitted by end of day .
17Dec 18
MONDAY Project examinations. Times TBA.