Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Add a tutorial series on Bayesian models-- e.g. a tutorial on probability distributions, another on putting them together to build models, and a third on inference. Possibly using Stan.