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Discrete Structure and Probability

Multimedia University

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 06 - Formal Reasoning Lecture 06 - Formal Reasoning

  • Lecture 06 - Formal Reasoning

  • Class notes • 45 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 07 - Induction Lecture 07 - Induction

  • Lecture 07 - Induction

  • Class notes • 15 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 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 10 - Intro to Graph Lecture 10 - Intro to Graph

  • Lecture 10 - Intro to Graph

  • Class notes • 17 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 12 - Tree Lecture 12 - Tree

  • Lecture 12 - Tree

  • 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 13 - Finite State Automata Lecture 13 - Finite State Automata

  • Lecture 13 - Finite State Automata

  • Class notes • 17 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 15 - Intro to Probability Lecture 15 - Intro to Probability

  • Lecture 15 - Intro to Probability

  • 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 18 - Normal Distribution Lecture 18 - Normal Distribution

  • Lecture 18 - Normal Distribution

  • 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.
    (0)
  • $7.49
  • + learn more