6.041 | Spring 2006 | Undergraduate

Probabilistic Systems Analysis and Applied Probability

Course Description

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 …
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.
Learning Resource Types
Simulation Videos
Simulations
Problem Sets with Solutions
Exams with Solutions
Lecture Notes
Dice with assorted number of faces.
Why flip a coin? Try these instead to increase the number of outcomes. (Image courtesy of Idiolector.)