BSCI374

Mathematical Modeling in Biology

Students will learn empowering mathematical techniques through the understanding of biological models. Models are chosen from a variety of biological disciplines. Mathematical skills that will be developed along the way include: solving non-linear difference equations, eigenvector analysis, and the implementation of these algorithms as computer models.

Sister Courses: BSCI374H

Fall 2025

Jonathan Simon

1 review
Average rating: 5.00

Past Semesters

Jonathan Simon

1 review
Average rating: 5.00

Jonathan Simon

1 review
Average rating: 5.00

Jonathan Simon

1 review
Average rating: 5.00

Shelby Wilson

0 reviews
Average rating: N/A

Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.33 between 39 students*

A-: 12.82%

A: 23.08%

A+: 33.33%

B: 2.56%

B+: 10.26%

C-: 2.56%

C: 2.56%

C+: 2.56%

D+: 2.56%

F: 2.56%

W: 5.13%

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.