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16 Fevereiro 2023, 11:00 • Rita Sousa

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Problem 1.27. Introduction to chapter 2. Definition of a Random Variable, Discrete Random Variables and Continuous Random Variables, Cumulative Distribution Function (CDF), and CDF of Discrete RV. Problem 2.1: example of CDF of symbols of binary information source. Introduction to Problem 2.3: errored binary symbols in a noisy channel.

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16 Fevereiro 2023, 09:30 • Rita Sousa

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Problem 1.27. Introduction to chapter 2. Definition of a Random Variable, Discrete Random Variables and Continuous Random Variables, Cumulative Distribution Function (CDF), and CDF of Discrete RV. Problem 2.1: example of CDF of symbols of binary information source. Introduction to Problem 2.3: errored binary symbols in a noisy channel.

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15 Fevereiro 2023, 11:00 • Rita Sousa

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Problem of probability of a link with six parallel sections being operational. Quizz " Prob. caminhos série e paralelo 2 ". Problems 1.18, 1.16, 1.23.

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15 Fevereiro 2023, 09:30 • Rita Sousa

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Problem of probability of a link with six parallel sections being operational. Quizz " Prob. caminhos série e paralelo 2 ". Problems 1.18, 1.16, 1.23.

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13 Fevereiro 2023, 09:30 • Rita Sousa

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Examples of application of probability relationships to the availability of network connections composed by a series and parallel of links (quizz " Prob. caminhos série e paralelo 1"). Conditional probability and dependence, extremes cases of conditional probability, physical interpretation of conditional probability, and joint occurrence probability. Problem 1.12, Total Probability (Theorem), Problem 1.14-(a), Bayes' theorem, Application of Bayes' Theorem: a Priori and a Posteriori Probabilities, Problem 1.14-(b). Statistical Independence. Statistical Independence of N events. Statistical Independence and Physical Independence.