Probability and Random Variables OpenCourseWare: MIT's Free Bachelor Level Math Class on Probability and Random Variables
'Probability and Random Variables' introduces undergraduate students to some of the core distribution forms and functions pertaining to probability theory. This free OpenCourseWare class is offered online by MIT. It analyzes mathematical theorems, functions and equations in search of order amidst random elements.
Probability and Random Variables: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Probability and Random Variables: Course Description
This course is taught by Professor Richard Dudley, a Guggenheim fellow and prolific writer on probability theory and developer of the Dudley entropy integral. In 'Probability and Random Variables', Dudley focuses his lectures and assigned readings on various forms of distribution, also known as generalized functions. Such distributions are applicable to other fields, including engineering and physics. Topics studied include the law of large numbers, Chebyshev inequalities, random variables and limit theorems. The material in this class is tailored to undergraduate Mathematics majors who are familiar with multivariable calculus.
Downloadable course materials include problem sets, notes and some readings. To find out more about this free OpenCourseWare class, visit the probability and random variables course page.
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