Industrial and Systems Engineering 529:
Engineering Data Analytics (3.0 units)
Theory and methods of data analytics emphasizing engineering applications: multivariate statistics, supervised learning, classification, smoothing and kernel methods, support vector machines, discrimination analysis, unsupervised learning.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31529D | 048 | Lecture | 3:30-6:20pm | Friday | 40 of 40 | Cesar Acosta-Mejia | KAP156 | PDF (473686 KB) |   |