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Lecture 5: Discrete Random Variables Part I (M-I-T)

S#	Lecture	Course	Institute	Instructor	Discipline
1	L05.10 The Expected Value Rule (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
2	L05.11 Linearity of Expectations (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
3	L05.1 Lecture Overview (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
4	L05.2 Definition of Random Variables (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
5	L05.3 Probability Mass Functions (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
6	L05.4 Bernoulli & Indicator Random Variables (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
7	L05.5 Uniform Random Variables (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
8	L05.6 Binomial Random Variables (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
9	L05.7 Geometric Random Variables (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
10	L05.8 Expectation (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
11	L05.9 Elementary Properties of Expectation (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
12	S05.1 Supplement: Functions (M-I-T)	Lecture 5: Discrete Random Variables Part I (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences