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COM SCI M296B

Optimal Parameter Estimation and Experiment Design for Biomedical Systems

University of California, Los Angeles 4 credits Computer Science

Course Description

(Same as Bioengineering M296B, Biomathematics M270, and Medicine M270D.) Lecture, four hours; outside study, eight hours. Requisite: course CM286 or M296A or Biomathematics 220. 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.

Code
COM SCI M296B
Credits
4
Subject
Computer Science

Programs That Include This Course

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