| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 4276 |
L09.8 From The Joint to the Marginal (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4277 |
L10.10 Detection of a Binary Signal (M-I-T)
|
Lecture 10: Continuous Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4278 |
Lecture 0.3: Teaching Staff (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4279 |
L09.9 Continuous Analogs of Various Properties (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4280 |
L10.11 Inference of the Bias of a Coin (M-I-T)
|
Lecture 10: Continuous Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4281 |
Lecture 0.4: Literature (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4282 |
S09.1 Buffon's Needle & Monte Carlo Simulation (M-I-T)
|
Lecture 9: Continuous Random Variables Part II (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4283 |
Lecture 0.5: Early History and People in Nuclear and Particle Physics (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4284 |
L10.1 Lecture Overview (M-I-T)
|
Lecture 10: Continuous Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4285 |
Lecture 1.1: Quantum Field and Matter (M-I-T)
|
Chapter 1. Fermions, Bosons, and Fields (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4286 |
Lecture 0.6: Particles (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4287 |
Lecture 1.2: Feynman Diagram (M-I-T)
|
Chapter 1. Fermions, Bosons, and Fields (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4288 |
L11.1 Lecture Overview (M-I-T)
|
Lecture 11: Derived Distributions (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4289 |
L10.2 Conditional PDFs (M-I-T)
|
Lecture 10: Continuous Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4290 |
Lecture 0.7: Units (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4291 |
Lecture 1.3: Ranges of Forces (M-I-T)
|
Chapter 1. Fermions, Bosons, and Fields (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4292 |
L11.2 The PMF of a Function of a Discrete Random Variable (M-I-T)
|
Lecture 11: Derived Distributions (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4293 |
L10.3 Comments on Conditional PDFs (M-I-T)
|
Lecture 10: Continuous Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4294 |
Lecture 0.8: Relativistic Kinematics (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4295 |
Lecture 1.4: Decays (M-I-T)
|
Chapter 1. Fermions, Bosons, and Fields (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4296 |
L10.4 Total Probability & Total Expectation Theorems (M-I-T)
|
Lecture 10: Continuous Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4297 |
Lecture 0.9: Spin (M-I-T)
|
Chapter 0. Introduction (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4298 |
Lecture 1.5: Reactions (M-I-T)
|
Chapter 1. Fermions, Bosons, and Fields (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4299 |
Lecture 2.1: Introduction (M-I-T)
|
Chapter 2. Symmetries (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4300 |
L10.5 Independence (M-I-T)
|
Lecture 10: Continuous Random Variables Part III (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
