| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 4326 |
Lecture 4.4: Photon (M-I-T)
|
Chapter 4. QED (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4327 |
Lecture 4.5: Feynman Rules for QED (M-I-T)
|
Chapter 4. QED (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4328 |
Lecture 4.6: Examples (M-I-T)
|
Chapter 4. QED (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4329 |
Lecture 4.7: Casimir's Trick (M-I-T)
|
Chapter 4. QED (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4330 |
Lecture 5.1: Hadron Production (M-I-T)
|
Chapter 5. QCD (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4331 |
Lecture 4.8: Cross Sections (M-I-T)
|
Chapter 4. QED (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4332 |
Lecture 5.2: Elastic Electron-Positron Scattering (M-I-T)
|
Chapter 5. QCD (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4333 |
Lecture 5.3: Feynman Rules in QCD (M-I-T)
|
Chapter 5. QCD (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4334 |
Lecture 4.9: Renormalization and Higher-Order QED Diagrams (M-I-T)
|
Chapter 4. QED (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4335 |
Lecture 5.4: Deep Inelastic Scattering (M-I-T)
|
Chapter 5. QCD (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4336 |
L12.10 Interpreting the Correlation Coefficient (M-I-T)
|
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4337 |
Lecture 5.5: Asymptotic Freedom (M-I-T)
|
Chapter 5. QCD (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4338 |
L12.11 Correlations Matter (M-I-T)
|
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4339 |
Lecture 5.6: Hadron Collider (M-I-T)
|
Chapter 5. QCD (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4340 |
L12.1 Lecture Overview (M-I-T)
|
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4341 |
L12.2 The Sum of Independent Discrete Random Variables (M-I-T)
|
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4342 |
L13.10 Mean of the Sum of a Random Number of Random Variables (M-I-T)
|
Lecture 13: Conditional Expectation & Variance Revisited; Sum of a Random Number of Independent R.V.s (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4343 |
Lecture 6.1: Feynman Rules (M-I-T)
|
Chapter 6. Weak Interactions (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4344 |
L12.3 The Sum of Independent Continuous Random Variables (M-I-T)
|
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4345 |
L13.11 Variance of the Sum of a Random Number of Random Variables (M-I-T)
|
Lecture 13: Conditional Expectation & Variance Revisited; Sum of a Random Number of Independent R.V.s (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4346 |
Lecture 6.2: Electroweak Unification (M-I-T)
|
Chapter 6. Weak Interactions (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4347 |
L12.4 The Sum of Independent Normal Random Variables (M-I-T)
|
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4348 |
L13.1 Lecture Overview (M-I-T)
|
Lecture 13: Conditional Expectation & Variance Revisited; Sum of a Random Number of Independent R.V.s (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
| 4349 |
Lecture 6.3: Pion Decay (M-I-T)
|
Chapter 6. Weak Interactions (M-I-T)
|
MIT
|
Prof. Markus Klute
|
Basic and Health Sciences
|
| 4350 |
|
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
|
MIT
|
Prof. John Tsitsiklis, Prof. Patrick Jaillet
|
Applied Sciences
|
