MCDB 194SM: SYSTEMS MEDICINE
University of California, Santa Barbara
Explores systems medicine through computational modeling of physiological c ircuits. Students will develop Python simulations to understand hormone cir cuits, immune system behavior, and aging processes. Combines theoretical fo undations with hands-on modeling exercises to examine how diseases emerge f rom circuit fragilities. Through mathematical modeling and computational an alysis, students will investigate complex physiological systems and learn d isease classification based on signaling topology. Students will gain both theoretical knowledge and applied computational skills while exploring how feedback, robustness, and emergent behaviors influence health and disease.
Average GPA: 3.77
Grade distribution records: 20 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 4 | 20.0% |
| A | 11 | 55.0% |
| A- | 1 | 5.0% |
| B+ | 3 | 15.0% |
| C- | 1 | 5.0% |
Based on 20 student grade records across 1 term and 1 professor.
Instructors
- Wilson M Z 20 students, Average GPA 3.76