Work for Winter Quarter 2018 UCSD Masters of Data Science and Engineering Program Probability and Statistics class, DSE 210.
The course covered: distribution over the real line; independence, expectation, variance, correlation. Central limit theorem, Statistical tests, modeling data with distributions, generative models, bayes theorem, clustering, PCA, singular value decomposition, and more.
The homeworks included both written assignment and programming assignments.