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Lecture 4: Counting (M-I-T)

(9 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L04.1 Lecture Overview (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L04.2 The Counting Principle (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L04.3 Die Roll Example (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L04.4 Combinations (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L04.5 Binomial Probabilities (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L04.6 A Coin Tossing Example (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L04.7 Partitions (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L04.8 Each Person Gets An Ace (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
9
  • L04.9 Multinomial Probabilities (M-I-T)
Lecture 4: Counting (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences

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