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Dec 26, 2024
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CS 479 - Pattern Recognition (3 units)
Pattern recognition systems, statistical methods, discrimination functions, clustering analysis, unsupervised learning, feature extraction and feature processing.
Prerequisite(s): CS 202 with a “C” or better; STAT 352 or STAT 461 .
Grading Basis: Graded
Units of Lecture: 3
Offered: Every Spring - Even Years
Student Learning Outcomes
Upon completion of this course, students will be able to:
1. identify, formulate, analyze, and solve complex computing or engineering problems by applying principles of computing, engineering, science, and mathematics.
2. communicate effectively in a variety of professional contexts, with a range of audiences.
3. acquire and apply new knowledge as needed, using appropriate learning strategies.
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