Aerospace and Mechanical Engineering 505:
Machine Learning for Engineering Applications (3.0-4.0 units)
Modeling engineering challenges, supervised and unsupervised learning, reinforcement learning, evolutionary algorithms, support vector machines, Bayesian learning, large language models, transform engineering with machine learning.
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 28864D | 048 | 3.0 | Lecture | 12:00-1:50pm | Mon, Wed | 3 of 1 | Yan Jin | OHE100B | PDF (477313 KB) |  |
| 28865D | 034 | 3.0 | Lecture | 12:00-1:50pm | Mon, Wed | 2 of 1 | Yan Jin | DEN@Viterbi | | |
| 28976R | 048 | 4.0 | Lecture | 12:00-1:50pm | Mon, Wed | 6 of 40 | Yan Jin | OHE100B | | |
| 28980D | 034 | 4.0 | Lecture | 12:00-1:50pm | Mon, Wed | 0 of 40 | Yan Jin | DEN@Viterbi | |