ECE 272A: MACH LEARN DES TEST
University of California, Santa Barbara
A introduction to design and test automation processes and how machine lear ning can be applied to improve certain steps in those processes. Basic mach ine learning concepts and practices to apply machine learning in those desi gn and test automation steps are discussed. Graduate students are are expec ted to be able to explore an assignment and discover a problem and then fin d a way to improve the outcome, hence developing their research ability.
Average GPA: 3.72
Grade distribution records: 107 students across 6 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 17 | 15.9% |
| A | 30 | 28.0% |
| A- | 39 | 36.4% |
| B+ | 13 | 12.1% |
| B | 6 | 5.6% |
| B- | 1 | 0.9% |
| C+ | 1 | 0.9% |
Based on 107 student grade records across 6 terms and 1 professor.
Instructors
- Wang L C 107 students, Average GPA 3.72