This course is offered both to, 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.

there are 144 pdf files, including assignment and answers in every week, and lecture notes.