Mathematics 549:
Foundations of Mathematical Data Science (4.0 units)
An introduction to the principles behind and algorithms employed in data science including methods of linear algebra, probability theory and optimization theory; data science applications.
- Prerequisite: 1 from (MATH 225 or MATH 235) and 1 from (MATH 226 or MATH 229) and 1 from (MATH 307 or MATH 407)
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39743D | 001 | Lecture | 10:00-11:50am | Mon, Wed | 0 of 30 | THH119 |  |