METR 51: AI-Powered Programming for Science and Society II
San Jose State University
Expand your programming skills with AI-driven learning methods to tackle complex problems within atmospheric and environmental sciences. This course builds on core computational concepts, introducing fundamental machine-learning techniques, introduction to high-performance computing (HPC), advanced data analysis, and algorithmic problem-solving. AI tools will assist in debugging, optimizing, and improving code efficiency. Misc/Lab: Lecture 1 hours/lab 3 hours. Prerequisite: METR 50 (or equivalent).
Average GPA: 3.76
Grade distribution records: 11 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 3 | 27.3% |
| A | 5 | 45.5% |
| A- | 1 | 9.1% |
| B | 1 | 9.1% |
| B- | 1 | 9.1% |
Based on 11 student grade records across 1 term and 1 professor.
Instructors
- Qian Tan 11 students, Average GPA 3.76