DESIGNATION: Required
DESCRIPTION: Application of modern computing methods to the numerical and statistical analysis of bioengineering systems.
PREREQUISITE: BIOL 2170; MATH 3860
TEXTBOOK: Probability and Statistics for Engineers and Scientists; R. Walpole, R. Myers, S. Myers and K. Ye; Prentice Hall
OBJECTIVES: To apply statistical analysis to biological data
To investigate experiment design involving biological systems.
To formulate and solve problems in statistics
To use computational tools to analyze and model biological data
To analyze and interpret data from biological systems.
TOPICS COVERED: Introduction
Rules of probability
Random variables, distribution and density functions
Expectation - mean and variance
Discrete and continuous distribution functions
Applications of the normal distribution; specifications and quality control
Random sampling and sampling distributions
Confidence intervals
Hypothesis testing
ANOVA
SCHEDULE: 3 - 50 minute lectures per week
CONTRIBUTION: Engineering Topics
OUTCOMES: This course will develop the following skills that are required of bioengineering graduates:
(a) An ability to apply knowledge of mathematics, science, and engineering
(b) An ability to design and conduct experiments, as well as to analyze and interpret data
(e) An ability to identify, formulate, and solve engineering problems
(k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
(8b) The capability to apply advanced mathematics (including differential equations and statistics), science, and engineering to solve the problems at the interface of engineering and biology
PREPARED BY: Scott Molitor (smolitor@eng.utoledo.edu) and Tamara Phares (tphares@eng.utoledo.edu)