MATH M32TEssential Calculus for Mathematical Biologists
Mathematics · 4 units · Undergraduate lower division (0-99)
(Same as Computational and Systems Biology M32 and Life Sciences M32.) Not open to students with credit for course 31A, 31B, 32A, or 32B. Designed for life sciences students. Methods and results of single and multivariable calculus essential for quantitative training in biology. Limits, differentiation (single and several variables), optimization, integration and methods of integration, Taylor polynomials and applications to approximation, Taylor and other power series, vector valued functions, gradients, and Lagrange multipliers.
P/NP or letter grading.
When it runs
- Fall 2025
- Fall 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisites: Life Sciences 30A, 30B.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
MATH M32T
- LIFESCI 30AMathematics for Life Scientists
- LIFESCI 30BMathematics for Life Scientists
2 direct requisites. The whole upstream is here — 3 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
MATH M32T
- BIOENGR CM186Computational Systems Biology: Modeling and Simulation of Biological Systems
- BIOENGR CM187Research Communication in Computational and Systems Biology
- BIOENGR M296DIntroduction to Computational Cardiology
- C&S BIO M186Computational Systems Biology: Modeling and Simulation of Biological Systems
- C&S BIO M187Research Communication in Computational and Systems Biology
- COM SCI CM186Computational Systems Biology: Modeling and Simulation of Biological Systems
- COM SCI CM187Research Communication in Computational and Systems Biology
- COM SCI M296DIntroduction to Computational Cardiology
- EE BIOL M178Computational Systems Biology: Modeling and Simulation of Biological Systems
- BIOENGR CM286Computational Systems Biology: Modeling and Simulation of Biological Systems
- BIOMATH M270Optimal Parameter Estimation and Experiment Design for Biomedical Systems
- MED M270DOptimal Parameter Estimation and Experiment Design for Biomedical Systems
- MED M270EAdvanced Topics and Research in Biomedical Systems Modeling and Computing
- BIOENGR CM287Research Communication in Computational and Systems Biology
- BIOENGR M296BOptimal Parameter Estimation and Experiment Design for Biomedical Systems
- BIOENGR M296CAdvanced Topics and Research in Biomedical Systems Modeling and Computing
- COM SCI CM286Computational Systems Biology: Modeling and Simulation of Biological Systems
- COM SCI CM287Research Communication in Computational and Systems Biology
- COM SCI M296BOptimal Parameter Estimation and Experiment Design for Biomedical Systems
- COM SCI M296CAdvanced Topics and Research in Biomedical Systems Modeling and Computing
6 courses list this as a requisite. The whole downstream is here — 20 courses over 3 levels. Every course here opens its own tree.