Special Topics in Food Engineering: Statistics in Food Science

Course content

Food science and engineering data structures, data analysis and visualization; statistical inference; sensory data analysis, shelf-life evaluation; epidemiological principles in foodborne disease; study designs; multivariate methods; practical applications using R; interpretation and critical evaluation of data in food systems.