CS 143M: Num Analy Sci Comp
San Jose State University
Development and comparison of important algorithms for scientific computing in terms of efficiency, accuracy and reliability. Topics include systems of linear equations-direct and iterative methods, least squares problems, eigenvalues and eigenvectors, numerical stability and error analysis. Substantial assignments using contemporary software packages and professional subprogram libraries. Prerequisite(s): MATH 39; and one of CS 22A, CS 46A, CS 49, or MATH 50 (each with a grade of "C-" or better). Or instructor consent. Allowed Declared Major: Mathematics major/minor or Computer Science.
Average GPA: 2.65
Grade distribution records: 17 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 4 | 23.5% |
| B | 4 | 23.5% |
| C | 8 | 47.1% |
| D | 1 | 5.9% |
Based on 17 student grade records across 1 term and 1 professor.
Instructors
- Mohammad Saleem 17 students, Average GPA 2.65