Linda T. Boyle
Special topics in civil and environmental engineering offered occasionally by permanent or visiting faculty members.
This course will demonstrate the use of different analytical techniques (e.g., ANOVA, multivariate techniques, econometric models) to answer research questions that come up in human factors and transportation research. These techniques have been used across many different disciplines including Engineering (Industrial, Civil), Public Health (Epidemiology, Biostatistics), Business (Economics, Marketing and Behavioral Sciences), and Psychology (Experimental Psychology). The purpose of this class is therefore, to show students different ways to analyze data as it relates to human factors and transportation and how the techniques can complement each other to provide more meaningful results. Case studies from different journals will be reviewed in class to provide examples of the statistical techniques. To further demonstrate the use of these techniques, a survey will be designed in class from research questions generated by the students who will then help distribute and analyze the surveyed data.
Student learning goals
General method of instruction
Class assignments and grading