Lecture 1:  Flow Cytometric Data
           In this lecture, we will discuss and review how data is generated on a flow cytometer, what that data looks like and how it is stored.  We will cover issues related to linear/log transformation, binning vs channels
 
Lecture 2:  The three C’s – Controls, Compensation and Calibration
           This lecture will cover three major aspects of generating good data, and sources of error in flow cytometry data.  The proper use of controls (both biological and gating), compensation and calibration of the instrument are critical to understand to be able to generate good, reproducible data.
 
Lecture 3:  Gating and Data Display
           Having generated the data, this lecture will cover how to display the data via uni- and bi-variant histogram so that you can perform analysis.  Practical aspects of gating your data using the proper controls will be discussed.
 
Lecture 4:  Statistics
           With data properly analyzed, what can we get out of it?  From simple statistics, like percent of positive cells and mean fluorescent intensity, this lecture will discuss the different types of statistics you can get from flow cytometric data, and how to use them to answer your hypothesis.  
 
Lecture 5: Reporting Your Data
           This lecture brings all the previous lectures together.  What good is proper data analysis if it is not reported properly?  This lecture will cover how to present your data to the scientific community.
 
Lecture 6:  The Future of Data Analysis
           Where is flow cytometic analysis going? This lecture will give a review of some of the exciting work on new methods of data analysis.