Probability and Statistics

  • Basic and Applied Science Engineering |

Description

Statistical analysis on statistical data. Statistical measurements. Elementary probability – Conditional probability. Independent and dependent events –Bayes Theorem. Combinatorial analysis. Discrete probability distribution – density .Continuous probability distribution – density . Mathematical expectation, mean and variance. Special discrete distribution Bernoulli. Geometric and Poisson distributions. Special continuous distribution: Uniform – negative exponential. Normal distribution. The exponential model in reliability. The exponential model in life testing.

Program

Mathematics

Objectives

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Textbook

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Course Content

content serial Description

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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