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
theaters Simulation Videos
laptop_windows Simulations
assignment_turned_in Problem Sets with Solutions
grading Exams with Solutions
notes 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.)