BME 147: Quantitative and Statistical Methods for Biomedical Engineers
San Jose State University
Principles of experimental design; types of data and variables; descriptive statistics; elements of probability; probability distributions; sampling distributions and the Central Limit Theorem; hypothesis testing: ANOVA, one-sample and two-sample t-test, multiple comparisons, confidence intervals; power analysis; linear regression; statistical approach to medical device design; statistical process control; programming for statistical analysis (R); discrete vs continuous random variables; independence of variables; expectation and variance of random variables; conditional probability; joint and marginal probability distributions; covariance matrices; Bayes' theorem. Lecture 3 hours/Lab 3 hours. Prerequisite(s): MATH 32 (with a grade of "C-" or better) and BIOL 30.
Average GPA: 3.08
Grade distribution records: 637 students across 13 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 74 | 11.6% |
| A | 128 | 20.1% |
| A- | 79 | 12.4% |
| B+ | 72 | 11.3% |
| B | 94 | 14.8% |
| B- | 41 | 6.4% |
| C+ | 26 | 4.1% |
| C | 56 | 8.8% |
| C- | 15 | 2.4% |
| D+ | 9 | 1.4% |
| D | 18 | 2.8% |
| D- | 6 | 0.9% |
| F | 19 | 3.0% |
Based on 637 student grade records across 13 terms and 6 professors.
Instructors
- Jacques Ginestet Araki 157 students, Average GPA 2.81
- Alessandro Bellofiore 153 students, Average GPA 3.12
- Thuytien le 142 students, Average GPA 3.60
- Gabriella Paige Sugerman 89 students, Average GPA 3.29
- Riad Mohammad Nada 69 students, Average GPA 2.73
- Mi Hyun Choi 27 students, Average GPA 1.85