| Line 21: | Line 21: | ||
* Office hours are listed [[Open_office_hours_mboutin|here]] | * Office hours are listed [[Open_office_hours_mboutin|here]] | ||
*[[Media:syllabusECE662S10.pdf|Syllabus]] | *[[Media:syllabusECE662S10.pdf|Syllabus]] | ||
| + | *[[outlineECE662S10|Course Outline]] | ||
* Class cancellation: Jan 19, Jan 21, Feb 23, Feb 25 | * Class cancellation: Jan 19, Jan 21, Feb 23, Feb 25 | ||
* Make up classes: to be announced. Please list the times when you cannot meet [[schedule_surveyECE662S09|here]] | * Make up classes: to be announced. Please list the times when you cannot meet [[schedule_surveyECE662S09|here]] | ||
Revision as of 07:24, 9 March 2010
Contents
ECE662: "Satistical Pattern Recognition and Decision Making Processes", Spring 2010
General Course Information
- Instructor: Prof. Boutin a.k.a. Prof. Mimi
- Office: MSEE342
- Email: mboutin at purdue dot you know where
- Class meets Tu,Th 12-13:15 in EE115
- Office hours are listed here
- Syllabus
- Course Outline
- Class cancellation: Jan 19, Jan 21, Feb 23, Feb 25
- Make up classes: to be announced. Please list the times when you cannot meet here
Discussions and Students' perspectives
- Introduction and Expectations
- Is Bayes truly the best?
- Central Limit Theorem illustrations
- Hw1: Discuss the first hw here.
Feedback
Homework
References
- "Introduction to Statistical Pattern Recognition" by K. Fukunaga_OldKiwi (This is the main reference)
- "Pattern Classification" by Duda, Hart, and Stork_OldKiwi
- "Pattern Recognition: A Statistical Approach" by P.A. Devijver and J.V. Kittler_OldKiwi
- "Pattern Recognition and Neural Networks" by Brian Ripley_OldKiwi
- "Introduction to Data Mining" by P-N Tan, M. Steinbach and V. Kumar_OldKiwi
