Discrete Structure and Probability

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Here are the best resources to pass Discrete Structure and Probability. Find Discrete Structure and Probability study guides, notes, assignments, and much more.

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Lecture 08 - Recursion Lecture 08 - Recursion
  • Lecture 08 - Recursion

  • Class notes • 18 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 09 - Intro to Complexity of An Algorithm Lecture 09 - Intro to Complexity of An Algorithm
  • Lecture 09 - Intro to Complexity of An Algorithm

  • Class notes • 21 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 11 - Trail, Path and Circuit Lecture 11 - Trail, Path and Circuit
  • Lecture 11 - Trail, Path and Circuit

  • Class notes • 23 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 14 - Intro to Combinatory Lecture 14 - Intro to Combinatory
  • Lecture 14 - Intro to Combinatory

  • Class notes • 44 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 16 - Random Variable Lecture 16 - Random Variable
  • Lecture 16 - Random Variable

  • Class notes • 26 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 17 - Discrete Distribution Lecture 17 - Discrete Distribution
  • Lecture 17 - Discrete Distribution

  • Class notes • 29 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 01 - Set Theory Lecture 01 - Set Theory
  • Lecture 01 - Set Theory

  • Class notes • 24 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 02 - Relation Lecture 02 - Relation
  • Lecture 02 - Relation

  • Class notes • 43 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
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Lecture 03 - Function Lecture 03 - Function
  • Lecture 03 - Function

  • Class notes • 14 pages • 2018
  • Available in package deal
  • The outcome of this course is able to perform basic operations on discrete structures, able to interpret logic and construct proofs, able to interpret various concepts on graphs and employ related algorithms and last but not least, able to apply principles of discrete probability to calculate probabilities and expectations of simple random processes.
    (0)
  • $7.49
  • + learn more