EEL6825: Syllabus

EEL 6825 - Pattern Recognition - Fall 2001

Instructor: John G. Harris
Office: NEB 453
Phone: (352) 392-2652
Email: harris@cnel.ufl.edu
Office hours: MTW 2pm

TA: Signe Redfield
Office: Benton 332
Phone: N/A
Email: signe@cnel.ufl.edu
Office hours: Thursdays, periods 8-9 (3pm-4:55)

Prerequisite: The course assumes previous programming experience and some familiarity with linear algebra and statistics (normally obtained through undergraduate coursework).
Class Meeting: MWF 6th period (12:50pm-1:40pm), NEB 102
Class Homepage: http://www.cnel.ufl.edu/hybrid/courses/EEL6825
Required textbook: Pattern Classification, by Richard O. Duda, Peter E. Hart, David G. Stork 2nd edition (November 2000), John Wiley & Sons; ISBN: 0471056693
Reference Books:

• 
  Introduction to Statistical Pattern Recognition
  by Keinosuke Fukunaga, Academic Press 1990.
• 
  Neural Networks for Pattern Recognition
  by Christopher M. Bishop, Oxford University Press, 1995.
• 
  Pattern Recognition
  by Sergios Theodoridis and Konstantinos Koutroumbas, Academic Press, 1998.

Course Objectives: This class provides an introduction to classical pattern recognition. Pattern recognition is the assignment of a physical object or event to one of several prescribed categories. This semester will include sections on neural networks and provide links to the classical statistical pattern recognition techniques. Applications include automated speech recognition, fingerprint identification and optical character recognition. Major topics include:

• 
  Bayesian decision theory.
• 
  Parametric estimation and supervised learning.
• 
  Linear discriminant functions.
• 
  Nonparametric methods.
• 
  Feature extraction for representation and classification.
• 
  Neural networks for pattern recognition

Grade Determination:

• 
  25% Homework
• 
  25% Exam 1
• 
  25% Exam 2
• 
  25% Final Project

Exam Dates:

• 
  Exam 1, Monday, October 1, period E1-E3 (7:20pm-10:10pm), room LAR 310
• 
  Exam 2, Tuesday, November 19, period E1-E3 (7:20pm-10:10pm), room NEB 101