CMPM 147: Generative Design
University of California, Santa Cruz
Introduces generative methods for design. Uses algorithmic techniques to generate and evaluate game content (images, sounds, map designs) along with mechanics and progression systems. Search-based and learning-based techniques with connections to artificial intelligence are also covered.
Average GPA: 3.49
Grade distribution records: 311 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 18 | 5.8% |
| A | 125 | 40.2% |
| A- | 58 | 18.6% |
| B+ | 19 | 6.1% |
| B | 25 | 8.0% |
| B- | 12 | 3.9% |
| C+ | 8 | 2.6% |
| C | 6 | 1.9% |
| C- | 2 | 0.6% |
| D | 3 | 1.0% |
| F | 9 | 2.9% |
| P | 9 | 2.9% |
| NP | 6 | 1.9% |
| W | 11 | 3.5% |
Based on 311 student grade records across 5 terms and 3 professors.
Instructors
- Wes Modes 168 students, Average GPA 3.61
- Adam Marshall Smith 116 students, Average GPA 3.32
- Julin Asiiah Song 27 students, Average GPA 3.39