MUSC 80L: Artif Intell & Musc
University of California, Santa Cruz
An introduction to basic concepts in music and artificial intelligence, and to algorithmic composition (composition by a set of explicit instructions, often using the computer). Other topics include basic introductions to related concepts in linguistics, mathematics, neural nets, pattern matching, genetic algorithms, fuzzy logic, and interactive systems. Previous experience in one or more of these topics is helpful but not required. Students produce a project based on one of the models presented in class.
Average GPA: 3.76
Grade distribution records: 626 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 190 | 30.4% |
| A | 208 | 33.2% |
| A- | 60 | 9.6% |
| B+ | 22 | 3.5% |
| B | 11 | 1.8% |
| B- | 3 | 0.5% |
| C+ | 2 | 0.3% |
| C | 2 | 0.3% |
| D- | 1 | 0.2% |
| F | 16 | 2.6% |
| P | 80 | 12.8% |
| NP | 18 | 2.9% |
| S | 1 | 0.2% |
| W | 12 | 1.9% |
Based on 626 student grade records across 3 terms and 2 professors.
Instructors
- David Andrew Kant 482 students, Average GPA 3.86
- Jeff Stone 144 students, Average GPA 3.43