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Intro To Pattern Recognition 000 |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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17920 | |
Enrollment Capacity:
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35 |
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Section:
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000 |
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Enrollment Total:
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27 |
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Credits:
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3.00 credits
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Seats Available:
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8 |
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Dates:
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01/31/2022 - 05/13/2022 |
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Status:
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OPEN |
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Days, Time:
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T R , 8:00 AM - 9:20 AM |
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Nsc 201 |
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North Campus |
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| Comments |
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| CS minors will need to use the force registration system (https://academics.eng.buffalo.edu/force-registration/request) for their upper level CSE courses and will be enrolled during open enrollment. |
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| Enrollment Requirements |
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Prerequisites: Pre-Requisites: (CSE 250 or EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP) and EAS 305 or STA 301 or MTH 411; Approved CS, CE, Bioinformatics/CS Majors Only. Students must complete a mandatory advisement session with their faculty advisor. |
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| Course Description |
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| Foundations of pattern recognition algorithms and machines, including statistical and structural methods. Data structures for pattern representation, feature discovery and selection, classification vs. description, parametric and non-parametric classification, supervised and unsupervised learning, use of contextual evidence, clustering, recognition with strings, and small, sample-size problems. |
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| Instructor(s) |
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Dong |
look up |
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| On-line Resources |
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| Other Courses Taught By: Dong |
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