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Newest Discrete Mathematics with Applications summaries

Lecture 06 - Formal Reasoning Lecture 06 - Formal Reasoning

  • Lecture 06 - Formal Reasoning

  • Lecture 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 18 - Normal Distribution Lecture 18 - Normal Distribution

  • Lecture 18 - Normal Distribution

  • Lecture 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 01 - Set Theory Lecture 01 - Set Theory

  • Lecture 01 - Set Theory

  • Lecture 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 11 - Trail, Path and Circuit Lecture 11 - Trail, Path and Circuit

  • Lecture 11 - Trail, Path and Circuit

  • Lecture 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 09 - Intro to Complexity of An Algorithm Lecture 09 - Intro to Complexity of An Algorithm

  • Lecture 09 - Intro to Complexity of An Algorithm

  • Lecture 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 12 - Tree Lecture 12 - Tree

  • Lecture 12 - Tree

  • Lecture 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 07 - Induction Lecture 07 - Induction

  • Lecture 07 - Induction

  • Lecture 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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  • £6.08
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Lecture 08 - Recursion Lecture 08 - Recursion

  • Lecture 08 - Recursion

  • Lecture 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 03 - Function Lecture 03 - Function

  • Lecture 03 - Function

  • Lecture 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.
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Discrete Structure and Probability

  • Discrete Structure and Probability

  • Package deal • 18 items • 2018
  • A bundle pack that consisted all notes of the entire course.
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  • £105.69
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