Explores Bayesian techniques for extreme value problems, including Markov Chain Monte Carlo and Bayesian inference, emphasizing the importance of prior information and the use of graphs.
Explores water quality modeling, focusing on reaction kinetics, equilibrium constants, and temperature effects, with practical examples of calcite precipitation and iron oxidation.