This course is offered both to graduates, but the assignments differ. it introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

It includes  assignments and answers every week and every lecture,
there are 144 pdf files. Hope you will like it.