CPE 542 Pattern Recognition Course Introduction

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CPE 542 Pattern Recognition Course Introduction

• Dr. Gheith Abandah

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Outline

• Course Information
• Textbook and References
• Course Outline
• Grading
• Policies
• Important Dates

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Course Information

• Instructor Dr. Gheith Abandah
• Email abandah_at_ju.edu.jo
• Home page http//www.abandah.com/gheith
• Office Computer Engineering 405
• Prerequisites 1901473 Operating Systems
• Office hours
• Mon 1100 - 1200
• Tue 1200 - 100
• Thu 1000 - 1100

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Textbook and References

• Theodoridis S, Koutroumbas K (2006) Pattern
  recognition, 3rd edn. Academic Press.
• References
• Pattern Classification (2nd ed.) by Richard O.
  Duda, Peter E. Hart and David G. Stork, Wiley
  Interscience, 2001.

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Course Outline

• Introduction
• Bayes Classifiers
• Linear Classifiers
• Non Linear Classifiers
• Midterm Exam
• Feature Selection
• Feature Generation
• Template Matching
• Context Dependent Classification
• System Evaluation
• Clustering Algorithms
• Final Exam

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Grading

• Mid-Term Exam 30
• Course Project 20
• To enable the students to get hands-on experience
  in the design, implementation and evaluation of
  pattern recognition algorithms.
• Teams 2-3 students
• Solve a practical pattern recognition problem of
  your choice.
• Use Matlab or a general programming language.
• Good projects involve using multiple classifiers
  and evaluating their performance in solving the
  problem. And should use preprocessing and feature
  extraction and selection.
• Final Exam 50

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Policies

• Attendance is required.
• All submitted work must be yours.
• Cheating will not be tolerated.
• This course requires significant effort.

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Important Dates
Mon 8 Feb 2010 First Lecture
Mon 22 Mar 2010 Project Proposal Due
Mon 5 Apr 2010 Midterm Exam
Mon 3 May 2010 Project Report Due
Wed 19 May 2010 Last Lecture
Sun 23 May 2010 Final Exam (1200-200)