An ungraded demonstration assignment that you can use to get familiar with git, markdown, and our GitHub workflow.
An initial assignment to give you practice cloning a git repository and committing a new file.
An assignment to put into play some of the discrete probability concepts discussed in class.
Problems related to probability density functions and Bayes rule with continuous random variables.
Practice with expectations and Poisson-Gamma conjugate inference.
Baseball-inspired multivariate linear-Gaussian inference and non-Gaussian MCMC sampling.
An open ended project where you can put concepts from class into practice.