CS-6814: Science-Guided Machine Learning
Description: Addresses specific advanced topics in science-guided machine learning (SGML). Seminal papers, book chapters, and recent developments in the field will be used as a source of material too new to yet be in a textbook. Detailed study of science-guided learning, science-guided model design, science-guided initialization, and hybrid-science-machine learning modeling. Student participation is in a seminar style format. Pre: Graduate standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 1
Average GPA: 3.96 (A)
Strict A Rate (No A-) : 87.00%
Average Withdrawal Rate: 0.00%
| Anuj Karpatne | 2023 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.96 | 1 |