BIOENGR CM286
Computational Systems Biology: Modeling and Simulation of Biological Systems
Bioengineering · 5 units · Graduate courses (200-299)
(Same as Computer Science CM286.) Dynamic biosystem modeling and computer simulation methods for studying biological/biomedical processes and systems at multiple levels of organization. Intermediate linear and nonlinear control system, multicompartmental, epidemiological, pharmacokinetic, and other biomodeling methods applied to life sciences problems at molecular, cellular, organ, and population levels. Both theory- and data-driven modeling, with focus on translating biomodeling goals and data into dynamical mathematical models, and implementing them for simulation, quantification, and analysis. Numerical simulation, optimization, and parameter identifiability and search algorithms, with model discrimination and analysis and software exercises in PC laboratory assignments. Concurrently scheduled with course CM186.
Letter grading.
Requisites
Official UCLA wording
Requisites: Life Sciences 30A, 30B, Mathematics 32A or M32T, 33A, and 33B; or Mathematics 31A, 31B, 32A or M32T, 33A, and 33B.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOENGR CM286
- LIFESCI 30AMathematics for Life Scientists
- MATH 31ADifferential and Integral Calculus
- MATH 1Precalculus
- LIFESCI 30BMathematics for Life Scientists
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
BIOENGR CM286
- 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
- BIOMATH M270Optimal Parameter Estimation and Experiment Design for Biomedical Systems
- MED M270DOptimal Parameter Estimation and Experiment Design for Biomedical Systems





