Informatics 561:
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. Prerequisite: DSO 529.
- Prerequisite: DSO 529
- Crosslist: This course is offered by the ISE department but may qualify for major credit in INF. To register, enroll in ISE 529.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31529D | 048 | Lecture | 3:30-6:20pm | Friday | 11 of 20 | Cesar Acosta-Mejia | KAP134 | PDF (16684 KB) |   |