EBME 519. Parameter Estimation for Biomedical Systems
Description
Linear and nonlinear parameter estimation of static and dynamic
models. Identifiability and parameter sensitivity analysis.
Statistical and optimization methods. Design of optimal
experiments. Applications to cells, tissues, and organs.
Course Goals
1. To optimally estimate parameters of physiological models
of biomedical systems based on simulation and comparison
with experimental data
2. To develop background in various nonlinear optimization
methods for application to biomedical estimation problems
3. To apply identifiability and sensitivity analyses for
determining quantitative limitations of optimal parameter
estimation
4. To apply optimization to the design of biomedical experiments
based on the estimation of parameters in physiological models
Prerequisites
Basic familiarity with differential equations, matrix methods,
probability and statistics, numerical methods
Class/laboratory Schedule
Two 75 minute lectures per week.
Typical Class Size
6
Semesters and Years Offered
Alternate spring semesters
Computer Usage
Weekly assignments include numerical solution of one problem
by applying special programs to solve differential equations.
Laboratory Projects
All computer problems and half of the other problems done
in teams of 2 or 3. Individual semester projects involve
model development and simulation.
Course Objectives
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