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Home » Courses » Electrical Engineering and Computer Science » Mathematics for Computer Science » Video Lectures » Lecture 21: Random Variables
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Description: Introduces partitioning of the probabilistic sample space using random variables. Distribution functions, notably, the binomial distribution, are discussed.
Speaker: Tom Leighton
Lecture 1: Introduction and...
Lecture 2: Induction
Lecture 3: Strong Induction
Lecture 4: Number Theory I
Lecture 5: Number Theory II
Lecture 6: Graph Theory and...
Lecture 7: Matching Problems
Lecture 8: Graph Theory II:...
Lecture 9: Communication Ne...
Lecture 10: Graph Theory III
Lecture 11: Relations, Part...
Lecture 12: Sums
Lecture 13: Sums and Asympt...
Lecture 14: Divide and Conq...
Lecture 15: Linear Recurrences
Lecture 16: Counting Rules I
Lecture 17: Counting Rules II
Lecture 18: Probability Int...
Lecture 19: Conditional Pro...
Lecture 20: Independence
Lecture 21: Random Variables
Lecture 22: Expectation I
Lecture 23: Expectation II
Lecture 24: Large Deviations
Lecture 25: Random Walks