EE BIOL M159
Biological Modeling: Mathematical and Computational Approaches
Ecology and Evolutionary Biology · 6 units · Undergraduate upper division (100-199)
(Same as Computational and Systems Biology M150.) Students learn how to translate their biological knowledge and intuition into mathematical equations and computer simulations, and how to interpret and glean biological insights from quantitative results and predictions. Review and integration of core mathematical and computational approaches in novel ways. Students gain experience translating and intuition about systems through many examples across range of biological levels, such as predator-prey, disease transmission, cancer initiation, cell migration, neural systems, vascular networks, sleep, drug interactions, gene expression, and more. Students learn how to manipulate data, basics of coding, and how to instantiate their mathematical models and biological intuition through numerical solutions and simulations.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisites: Life Sciences 7A, 7B, 7C, Mathematics 33A and 33B, with grades of C or better. Recommended Requisites: Physics 1A, 1B, and 1C, or 5A, 5B, and 5C, with grades of C or better.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured data- all of
BruinTree reads · Recommended
needs reviewconfidence 0.75 · from text- one of
- · mixed comma-level AND/OR in "Physics 1A, 1B, and 1C, or 5A, 5B, and 5C" — grouping is a best reading
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
EE BIOL M159
- LIFESCI 7ACell and Molecular Biology
- MATH 33ALinear Algebra and Applications
- MATH 3BCalculus for Life Sciences Students
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.