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 ECE7252
Spring 2008 News Update

• Jan. 7: Lecture 1
  (Introduction)
• Jan. 9: Lecture 2
  (Probability
  and Statistics
  Essentials)
• Jan. 14: Lecture 3
  (Information
  Theory Esentials)
• Homework1
  (text_0116 assigned
  on 1/14, due on 1/23, solution1): 3.75%
  
• Jan. 16: Lecture 4
  (Optimization
  Theory
  Esentials)
  
• Jan. 21: MLK Holiday, no class
• Jan. 23: Lecture 5
  (Overview on Supervised Learning)
• Jan. 28: Lecture
  6 (WEKA tutorial,
  Machine Learning tools and web resources)
• Homework2 (hw2-binormal, assigned
  on 1/28, due on 2/6, solution2):
  3.75%
• Jan. 30: Lecture
  7 (Class
  Project List)
• Feb. 4: Lecture
  8 (Linear Methods for Regression, Part I)
• Feb. 6: Lecture
  9 (Linear Methods for Regression, Part II)
• Homework3 
  (hw3-prostate with information assigned
  on 2/6, due on 2/16, solution3):
  3.75%
• Feb. 11: Lecture
  10 (Linear Methods for Classification, Part I)
• Multivariate Gaussain:
  Matrix Algebra
• Feb. 13: Lecture
  11 (Linear Methods for Classification, Part II)
• Feb.
  18: Lecture
  12 (Linear Methods for Classification, Part III)
• Homework4 
  (hw4-train1, hw4-train2, hw4-test, assigned 2/18,
  due
  2/25, solution4):
  3.75%
• Feb.
  20: Lecture
  13 (Artificial Neural Networks, Part I)
• Feb.
  25: Lecture
  14 (Artificial Neural Networks, Part II)
• Feb.
  27:  Quiz 1 (solution)
  (15%)
• March
  3: Lecture
  15 (Support Vector Machines, Part I)
• Homework5 
  (hw5-zip-train, hw5-zip-test, hw5-zip-info, assigned
  on 3/3, due on 3/10): 3.75%
• March
  5: Lecture
  16 (Support Vector Machines, Part II)
• March
  10: Lecture
  17 (Kernel Methods, Part I)
• Homework6 
  (assigned
  on 3/10, due on 3/24, solution6): 3.75%
• March
  12: Lecture
  18 (Kernel Methods, Part II)
• Homework7 
  (hw7-gmm.txt, assigned
  on 3/14, due on 3/26, solution7):
  3.75%
  
• March
  17-21: Spring Break
• March
  24: Lecture
  19 (Kernel Methods, Part III)
• March
  26: Lecture 20 (Basis Expansion for Regularization, Part I)
• March
  31: Lecture 21 (Basis Expansion for Regularization, Part II)
• April
  2: Quiz
  2 (solution)
  (15%)
• April
  7: Lecture 22 (Classification and Regression
  Trees, Part I)
• April
  9: Lecture 23  (Classification and Regression
  Trees, Part II)
• Homework8 
  (assigned
  on 4/9, due on 4/16, solution8)
• April
  14: Lecture 24 (Unsupervised Learning)
• April
  16: Lecture 25 (Summary)
• April
  21 & 23: Project Presntation
  (Reports due before April 27):
  5%+35%
• 4/21: Ilseo, Aleem, Rana, Chris, Mert,
  You-Chi
• 4/23: Vanessa, Antonio, Trteza, Carson,
  Maria, Peter/Peter
• April
  28 – May 1: Finals Week (No
  Finals for ECE7252)
  

(Last Update: April 19, 2008)

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