Course Number
525.724
Next Offered
Fall 2022
Primary Program
Electrical and Computer Engineering
Location
Online
Mode of Study
Virtual Live

This course focuses on the underlying principles of pattern recognition and on the methods of machine intelligence used to develop and deploy pattern recognition applications in the real world. Emphasis is placed on the pattern recognition application development process, which includes problem identification, concept development, algorithm selection, system integration, and test and validation. Machine intelligence algorithms to be presented include feature extraction and selection, parametric and non-parametric pattern detection and classification, clustering, artificial neural networks, support vector machines, rule-based algorithms, fuzzy logic, genetic algorithms, and others. Case studies drawn from actual machine intelligence applications will be used to illustrate how methods such as pattern detection and classification, signal taxonomy, machine vision, anomaly detection, data mining, and data fusion are applied in realistic problem environments. Students will use the MATLAB programming language and the data from these case studies to build and test their own prototype solutions.

Course Prerequisite(s)

EN.525.614 Probability and Stochastic Processes for Engineers or equivalent. A course in digital signal or imageprocessing is recommended, such as EN.525.627 Digital Signal Processing, EN.525.619 Introduction to Digital Image and Video Processing, 525.643 Real-Time Computer Vision, or 525.746 Image Engineering.

Course Offering(s)

Open

525.724.8VL
08/29/2022 - 12/12/2022
Mon 4:30 p.m. - 7:10 p.m.
Notes: This course uses the Virtual Live format. All students participate online through live web-conferencing at the scheduled day and time. This is a live-online course in which students participate in live weekly lectures and discussions, and are able to interact extensively with the instructors. All classes are recorded for download and review.
Semester
Fall 2022
Mode of Study
Virtual Live
Location
Online
Cost
$4,920.00
Textbook
TBD