BME 130: Numerical Methods in Biomedical Engineering
San Jose State University
Course applies computational and numerical analysis techniques to myriad Engineering problems. The course focus is on application of numerical analysis to BME topics ranging from image analysis to nonlinear systems. We will employ various computational tools, including MATLAB/Simulink and ImageJ. Lab/Act: Lecture 2 hours/Lab 3 hours. Prerequisite(s): MATH 32 with a grade of C- or better. Corequisite(s): MATH 33A or MATH 33LA.
Average GPA: 2.78
Grade distribution records: 540 students across 13 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 50 | 9.3% |
| A | 61 | 11.3% |
| A- | 58 | 10.7% |
| B+ | 45 | 8.3% |
| B | 63 | 11.7% |
| B- | 59 | 10.9% |
| C+ | 50 | 9.3% |
| C | 56 | 10.4% |
| C- | 44 | 8.1% |
| D+ | 18 | 3.3% |
| D | 16 | 3.0% |
| D- | 4 | 0.7% |
| F | 16 | 3.0% |
Based on 540 student grade records across 13 terms and 4 professors.
Instructors
- Matthew J Leineweber 233 students, Average GPA 2.53
- Abdulmelik Nesru Mohammed 203 students, Average GPA 3.16
- Eveline J Bellegarda 82 students, Average GPA 2.65
- Linh Duy Tran 22 students, Average GPA 2.34