HLSC374
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.
Fall 2025
2 reviews
Average rating: 4.50
Past Semesters
2 reviews
Average rating: 4.50
2 reviews
Average rating: 4.50
2 reviews
Average rating: 4.50
0 reviews
Average rating: N/A
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 3.65 between 140 students*
* "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.