University of Washington Courses
Relevant to the RFPK Mission

The realization that a paradigm shift in the biomedical sciences like the one we are pursuing at RFPK needs to permeate educational efforts at multiple levels has led us to take an active role in the development and planning of the Computational Bioengineering thrust area at the Department of Bioengineering at the University of Washington Resource personnel played an active role in organizing and teaching the following courses. This is expected to positively influence the design of Resource workshop and training sessions and improve the visibility of RFPK within the campus community.

• BIOEN 485: Computational Bioengineering
  Introduction to computational, mathematical, and statistical approaches to the analysis of biological systems, including systems and control theory, molecular models and bioinformatics. Lectures and laboratory sessions emphasize practical problems in kinetics, metabolism, and genomics.
  Prerequisite: CSE 143; BIOEN 305; MATH 308.
  
  
• BIOEN 540: Biosystem Identification
  Fundamentals of mathematical modeling in medicine and biology. Introduction to compartmental models: a priori and a postpriori identifiability. Data measurement error and parameter estimation. Maximum likelihood and least squares. Introduction to tracer-tracee models, pharmacokinetics, and pharmacodynamics. Use of models to test hypotheses. Hands-on computer experience. Prerequisite: consent of instructor.
  
  
• BIOEN 584: Computational and Integrative Bioengineering
  Advanced computational, mathematical, and statistical approaches to the analysis of biological systems, including molecular models, time series, fractal systems, population kinetic analysis, and stochastic simulation. Lectures and laboratory sessions emphasize practical problems in kinetic analysis, metabolism, and genomics. Final project, written and oral reports.
  Prerequisite: BIOEN 485
  
  
• ENVH 590A / PCEUT 591: Advanced Toxicokinetics
  This two-unit course explores elements of toxicant absorption, distribution, metabolism, and excretion relevant to health risks. Consideration will be given to factors such as genotype, ventilation rate, and age, which affect kinetics. The extrapolation of dose-reponse information from test animals to humans will be explored using compartmental, allometric, mechanistic, and physiologically-based tools. Contemporary applications of uncertainty, population kinetics, and sparse sampling will be used to interpret this information in the definition of exposure guidelines.
  Prerequisite: One of ENVH 514, ENVH 577, P 405, P 506, or consent of instructor.