Data Analysis For The Biomedical Laboratory Scientist, A Practical Approach

Catalog description

Biology is becoming increasingly computational as new technologies are producing massive amounts of data. The quantitative data need to be organized, graphed, and interpreted. This course will teach students the theoretical and practical aspects of experimental design, hypothesis testing, statistical analysis, and linear and non-linear curve fitting. This course will pair lectures describing theory with applications involving problem solving. Students will learn to program so they can analyze complex data sets. The students will increase their understanding of statistics and have the wherewithal to analyze big data seta. The course will end with a final project involving image analysis in which the students will create scripts and functions to analyze the colocalization of fluorescent proteins in cells.