'Ordered selection' diaporamas de présentation

Reminder

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Chapter 6 Counting

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Sets and Counting

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CS1022 Computer Programming & Principles

CS1022 Computer Programming & Principles. Lecture 1 Combinatorics. Plan of lecture. Motivation Addition principle Multiplication principle Analysing selection problems k -Samples k -Permutations k -Combinations k -Selections Examples. Why combinatorics ?.

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Counting and Probability

Counting and Probability. The outcome of a random process is sure to occur, but impossible to predict. Examples: fair coin tossing, rolling a pair of dice, card drawing from a well shuffled card deck, etc . Sample space is the set of all possible outcomes of a random process.

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Discrete Structures Chapter 4 Counting and Probability

Discrete Structures Chapter 4 Counting and Probability. Nurul Amelina Nasharuddin Multimedia Department. Outline. Rules of Sum and Product Permutations Combinations: The Binomial Theorem Combinations with Repetition: Distribution Probability. Example: Lotto.

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