BIOENGR M296B
Optimal Parameter Estimation and Experiment Design for Biomedical Systems
Bioengineering · 4 units · Graduate courses (200-299)
(Same as Biomathematics M270, Computer Science M296B, and Medicine M270D.) Estimation methodology and model parameter estimation algorithms for fitting dynamic system models to biomedical data. Model discrimination methods. Theory and algorithms for designing optimal experiments for developing and quantifying models, with special focus on optimal sampling schedule design for kinetic models. Exploration of PC software for model building and optimal experiment design via applications in physiology and pharmacology.
Letter grading.
Requisites
Official UCLA wording
Requisite: course CM286 or M296A or Biomathematics 220.
BruinTree reads · Prerequisite
needs reviewconfidence 0.90 · from text- · "BIOMATH 220" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOENGR M296B
- BIOENGR CM286Computational Systems Biology: Modeling and Simulation of Biological Systems
- 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 M296B
- BIOENGR M296CAdvanced Topics and Research in Biomedical Systems Modeling and Computing
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.