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Newest Discrete Mathematics with Applications summaries

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 05 - Predicate Logic Lecture 05 - Predicate Logic

  • Lecture 05 - Predicate Logic

  • Class notes • 34 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 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 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 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 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 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.
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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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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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  • $130.24
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