CHEM 105: Computational Data Analysis in Chemistry
San Jose State University
Computational methods for analyzing and storing chemical data sourced from both experiments and molecular simulations. Emphasis on the use of Excel and Python; no previous coding experience needed. Lecture 2 hours/activity 2 hours. Prerequisite(s): CHEM 55 and MATH 30 (with a grade of "C" or better; "C-" not accepted). Note(s): Offered online.
Average GPA: 3.67
Grade distribution records: 39 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 5 | 12.8% |
| A | 22 | 56.4% |
| A- | 2 | 5.1% |
| B | 7 | 17.9% |
| B- | 1 | 2.6% |
| C | 2 | 5.1% |
Based on 39 student grade records across 2 terms and 1 professor.
Instructors
- Gianmarc Grazioli 39 students, Average GPA 3.67