This course features various probability-related simulations in the
tools section. A complete set of
lecture notes and
assignments with solutions are also available.
This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 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.
Technical Requirements
Special software is required to use some of the files in this course: .java, .m, .wmv, and .zip.