Simulation of Microbiological Growth and Inactivation 

Junior/senior students in an engineering curriculum or graduate students in food science with sufficient engineering background. The general content consists of kinetic models representing microbiological growth and inactivation, techniques for managing such growth and inactivation, and the implications of variability in biological data.

Learning Outcomes

1) Analyze data and estimate parameters for microbiological growth and inactivation that has significant variability

2) Assess, for a given dataset, when a kinetic model is more accurate and whether such accuracy translates into more accurate safety predictions

3) Utilize primary and secondary models in representing microbiological growth and inactivation kinetics and predict how environmental parameters affect such kinetics.