Principles and design of pattern recognition systems. Statistical classifiers: discriminant functions; bayes, minimum risk, k-nearest neighbors, perceptrons. Clustering and estimation; criteria; k-means, fuzzy, hierarchal, graph- theoretic, simulated and determininstic annealing; maximum likelihood and bayesian methods: nonparametric methods. Overview of applications.

Prerequisites: ECE 130C and 139.

4

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Engineering

College
These majors only ece
T B A
No info found
Image for ACM Leetcode Workshop Series
UCSB Association for Computing Machinery logo
UCSB Association for Computing Machinery
We are the largest computer science club at UCSB
Promoted

ACM Leetcode Workshop Series

Level up your Leetcode skill for SWE internship interview questions

Phelps Hall, Room 3526
Winter 2025 . Rose K Deng Z
PHELP1431
T R
10:00 AM - 11:50 AM
Spring 2026 . Rose K
ARTS 1356
M W
12:00 PM - 13:50 PM
See All
ECE 277 Rose K Winter 2025 Total: 32
ECE 277 Rose K Winter 2022 Total: 11
ECE 271A
19 / 30 Enrolled
Principles of Optimization
T B A
M W
10:00 AM - 11:50 AM
ECE 272A
31 / 38 Closed
Machine Learning in Design and Test Automation
Li-C Wang 4.3
M W
17:00 PM - 18:15 PM
ECE 273
0 / 30 Closed
TENSOR COMPUTATION FOR MACHINE LEARNING AND BIG DATA
Zheng Zhang 3.5
T R
12:30 PM - 13:45 PM
ECE 278C
15 / 20 Enrolled
Imaging Systems
Hua Lee 2.8
M W
16:00 PM - 17:50 PM
ECE 278A
32 / 45 Enrolled
Digital Image Processing
T B A
T R
16:00 PM - 17:50 PM
ECE 282
16 / 20 Enrolled
Error Correcting Codes
Yu Q
T R
16:00 PM - 17:50 PM