Time Schedule:
James Bassingthwaighte
BIOEN 599
Seattle Campus
Offered at a graduate level periodically by faculty members within the Department of Bioengineering; concerns areas of research activities with current and topical interest to bioengineers. Prerequisite: undergraduate or graduate courses (or equivalent) determined individually for each special topic.
Class description
Biostatistics for Bioengieneering
Student learning goals
Background principles for statistics
Understanding probabilistics apporaches to data analysis or making distinctions when the answer is unknown
Learning tests for differentiating populations
understanding the characteriztics of different probability density functions
Bayes theorem approaches
Analysis of estimates, confidence limits of parameters in model fitting to data
General method of instruction
2 lecture/discussions per week 1 3 hr lab per week
Develop problem solving skill in R, Matlab or JSim
Recommended preparation
MATH 307Introduction to Differential Equations MATH 308Introduction to Linear Algebra CSE 142Computer Programming BIOEN 303Signal Processing
Textbook is: Brani Vidakovch, Statistics for Bioengineering Sciences Buy it at http://springer.bme.gatech.edu/ for about $25 Data sets for the book are available at the same site.
Class assignments and grading
Assignments will include student presentations of selected topics within-Class discussion is expected and contributes to grade
Class participation 15% Homework Problems 30% Presentation to class 15% Final Exam 40%
