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CPE 542 Pattern Recognition Course Introduction. Dr. Gheith Abandah. Outline. Course Information Textbook and References Course Outline Grading Policies Important Dates. Course Information. Instructor: Dr. Gheith Abandah Email: abandah@ju.edu.jo
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CPE 542 Pattern Recognition Course Introduction Dr. Gheith Abandah
Outline • Course Information • Textbook and References • Course Outline • Grading • Policies • Important Dates CPE 432, 1-Intro
Course Information • Instructor: Dr. Gheith Abandah • Email: abandah@ju.edu.jo • Home page: http://www.abandah.com/gheith • Office: Computer Engineering 405 • Prerequisites: 1901473: Operating Systems • Office hours • Mon 11:00 - 12:00 • Tue 12:00 - 1:00 • Thu 10:00 - 11:00 CPE 432, 1-Intro
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. CPE 432, 1-Intro
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 CPE 432, 1-Intro
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% CPE 432, 1-Intro
Policies Attendance is required. All submitted work must be yours. Cheating will not be tolerated. This course requires significant effort. CPE 432, 1-Intro
Important Dates CPE 432, 1-Intro