| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 4226 |
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
|
| 4227 |
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
|
| 4228 |
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
|
| 4229 |
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
|
| 4230 |
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
|
| 4231 |
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
|
| 4232 |
L06.1 Lecture Overview (M-I-T)
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4233 |
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
|
| 4234 |
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4235 |
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
|
| 4236 |
L06.3 The Variance of the Bernoulli & the Uniform (M-I-T)
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4237 |
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
|
| 4238 |
L06.4 Conditional PMFs & Expectations Given an Event (M-I-T)
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4239 |
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
|
| 4240 |
L06.5 Total Expectation Theorem (M-I-T)
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4241 |
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
|
| 4242 |
L06.6 Geometric PMF Memorylessness & Expectation (M-I-T)
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4243 |
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
|
| 4244 |
L06.7 Joint PMFs and the Expected Value Rule (M-I-T)
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4245 |
L06.8 Linearity of Expectations & the Mean of the Binomial (M-I-T)
|
Lecture 6: Discrete Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4246 |
L07.1 Lecture Overview (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4247 |
L07.2 Conditional PMFs (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4248 |
L08.1 Lecture Overview (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4249 |
L07.3 Conditional Expectation & the Total Expectation Theorem (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4250 |
L08.2 Probability Density Functions (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
