| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 3226 |
3A Henderson Escher Example
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3227 |
Lecture 17 Markov Chains II
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3228 |
Lecture 18 Markov Chains III
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3229 |
3B Symbolic Differentiation; Quotation
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3230 |
Lecture 19 Weak Law of Large Numbers
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3231 |
4A Pattern Matching and Rule-based Substitution
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3232 |
Lecture 2 Conditioning and Bayes’ Rule
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3233 |
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3234 |
Lecture 20 Central Limit Theorem
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3235 |
5A Assignment, State, and Side-effects
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3236 |
Lecture 21 Bayesian Statistical Inference I
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3237 |
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3238 |
Lecture 22 Bayesian Statistical Inference II
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3239 |
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3240 |
Lecture 23 Classical Statistical Inference I
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3241 |
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3242 |
Lecture 24 Classical Inference II
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3243 |
7A Metacircular Evaluator, Part 1
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3244 |
Lecture 25 Classical Inference III; Course Overview
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3245 |
7B Metacircular Evaluator, Part 2
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3246 |
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3247 |
8A Logic Programming, Part 1
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3248 |
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
| 3249 |
8B Logic Programming, Part 2
|
Structure and Interpretation of Computer Programs (M-I-T)
|
MIT
|
Harold Abelson, Gerald Jay Sussman, Julie Sussman
|
Applied Sciences
|
| 3250 |
Lecture 5 Discrete Random Variables; Probability Mass Functions; Expectations
|
Probabilistic System Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. Dr. John Tsitsiklis
|
Applied Sciences
|
