Discrete Structure and Probability
Multimedia University
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Lecture 08 - Recursion
- Class notes • 18 pages • 2018
- Available in package deal
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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
- Class notes • 21 pages • 2018
- Available in package deal
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- $7.49
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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
- Class notes • 23 pages • 2018
- Available in package deal
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- $7.49
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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
- Class notes • 44 pages • 2018
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- $7.49
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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
- Class notes • 26 pages • 2018
- Available in package deal
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- $7.49
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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.
Too much month left at the end of the money?
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Lecture 17 - Discrete Distribution
- Class notes • 29 pages • 2018
- Available in package deal
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- $7.49
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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
- Package deal • 18 items • 2018
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- $130.24
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A bundle pack that consisted all notes of the entire course.
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Lecture 01 - Set Theory
- Class notes • 24 pages • 2018
- Available in package deal
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- $7.49
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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
- Class notes • 43 pages • 2018
- Available in package deal
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- $7.49
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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
- Class notes • 14 pages • 2018
- Available in package deal
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- $7.49
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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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