CHE 114: Data Science in Chemical and Materials Engineering
San Jose State University
Statistical and/or Machine learning methods applied to acquiring, cleaning, analyzing, exploring, and visualizing large-scale data and making data-driven inferences and decisions. Computational tools focus on Python programming with specific applications to Chemical and Materials Engineering problems. Prerequisite(s): CHE 110B or ME 30 or or a similar course with Python programming with a grade C- or better. Or instructor consent. High Impact Practice: Collaborative Assignments and Projects.
Average GPA: 3.72
Grade distribution records: 29 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 21 | 72.4% |
| B | 8 | 27.6% |
Based on 29 student grade records across 1 term and 1 professor.
Instructors
- Naoki Matsumura 29 students, Average GPA 3.72