| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 4251 |
L08.3 Uniform & Piecewise Constant PDFs (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4252 |
L07.4 Independence of Random Variables (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4253 |
L08.4 Means & Variances (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4254 |
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4255 |
L08.5 Mean & Variance of the Uniform (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4256 |
L07.6 Independence & Expectations (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4257 |
L08.6 Exponential Random Variables (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4258 |
L09.10 Joint CDFs (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4259 |
L07.7 Independence, Variances & the Binomial Variance (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4260 |
L08.7 Cumulative Distribution Functions (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4261 |
L07.8 The Hat Problem (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4262 |
L09.1 Lecture Overview (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4263 |
L08.8 Normal Random Variables (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4264 |
S07.1 The Inclusion-Exclusion Formula (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4265 |
L09.2 Conditioning A Continuous Random Variable on an Event (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4266 |
L08.9 Calculation of Normal Probabilities (M-I-T)
|
Lecture 8: Continuous Random Variables Part I (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4267 |
S07.2 The Variance of the Geometric (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4268 |
L09.3 Conditioning Example (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4269 |
S07.3 Independence of Random Variables Versus Independence of Events (M-I-T)
|
Lecture 7: Discrete Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4270 |
L09.4 Memorylessness of the Exponential PDF (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4271 |
L09.5 Total Probability & Expectation Theorems (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4272 |
L09.6 Mixed Random Variables (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4273 |
Lecture 0.1: Course Overview (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4274 |
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4275 |
Lecture 0.2: Course Organization (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
