Arts, Technology and the Business of Innovation 449:
Applications of Machine Learning (4.0 units)
Hands-on approach to the fundamental modeling techniques and machine learning algorithms that enable students to build robust predictive models of real-world data and test their validity.
- Prerequisite: 1 from (ITP 115 or ITP 116) and ITP 249
- Crosslist: This course is offered by the ITP department but may qualify for major credit in ACAD. To register, enroll in ITP 449.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31822R | 001 | Lecture | 4:00-5:50pm | Tue, Thu | 46 of 60 | Reza Jafarkhani | THH116 | PDF (437448 KB) |   |
| 31829R | 001 | Lecture | 2:00-3:50pm | Mon, Wed | 36 of 60 | Kristof Aldenderfer | KAP160 | Word (547163 KB) | |
| 31874R | 001 | Lecture | 12:00-1:50pm | Mon, Wed | 44 of 60 | Kristof Aldenderfer | LVL17 | Word (547163 KB) | |
| 32060R | 001 | Lecture | 2:00-3:50pm | Tue, Thu | 23 of 26 | Reza Jafarkhani | KAP267 | PDF (437448 KB) | |