Overview
Description
Pattern recognition systems, statistical methods, discrimination functions, clustering analysis, unsupervised learning, feature extraction and feature processing.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring - Even Years
Terms
spring
Attributes
Standard
Learning Outcomes
- identify, formulate, analyze, and solve complex computing or engineering problems by applying principles of computing, engineering, science, and mathematics.
- communicate effectively in a variety of professional contexts, with a range of audiences.
- acquire and apply new knowledge as needed, using appropriate learning strategies.
- apply engineering and computer science research and theory to advance the art, science, and practice of the discipline.