MUC250 AI/Machine Learning in Arts I
Covers theories and frameworks related to computational or artificial creativity and approaches to endowing machines with creative behaviors. Involves examination of artificial intelligence (AI) and machine learning (ML) in connection with a comprehensive range of arts and creative enterprises such as musical composition and interpretation, sound design, video game creation, drawing, painting, image generation, writing, storytelling, poetry, and design-related tasks. Recommended: MUC 272. Audit available. (See course content and outcomes.)
Credits: 4
| CRN | Class type | Location | Days & time | Dates | Seats available | Faculty | More info |
|---|---|---|---|---|---|---|---|
| 23498 | In-person | Cascade JH 112 | Tuesday and Thursday from 2 to 3:50pm | From April 2 through June 13, 2024 | Ravi Kittappa | Books for CRN 23498 $0 Class details for CRN 23498 |
Class schedule definitions
- Cost:
- cost is based on the number of credits – see tuition and fees
- Books:
- $0 or <$40 means low cost books (doesn't include other supplies like calculators)
- Register:
- use the CRN to register in MyPCC – see how to register
- Class types:
- see more about class types
- In-person: classes take place at specific times and locations. Attendance in person is required.
- Online: classes do not have meeting times. Regular online interaction is required and there are weekly assignments.
- Remote: classes take place at specific times online. Students must be logged in during class meeting times.
- In-person and remote: classes meet both in-person and remotely. Attendance at both is required.
- In-person and online: classes meet in-person with additional online activities required.
- Remote and online: classes meet remotely with additional online activities required.