Probability & Statistics

  • Information Systems |
  • English

Description

This course aims to provide an understanding of the basic concepts in probability theory and Statistical analysis and its applications for decision-making in economics, business, and other fields of social sciences. The course is heavily oriented towards the formulation of mathematical concepts on probability and probability distributions and densities with practical applications.

Program

Bachelor in IS

Objectives

  • • Use statistical methodology and tools in the problem-solving process.
    • Compute and interpret descriptive statistics using numerical and graphical techniques.
    • Understand the basic concepts of probability, random variables, probability distribution, and joint probability distribution.
    • Compute point estimation of parameters, explain sampling distributions, and understand the central limit theorem.

Textbook

Ronald E. Walpole and Raymond H. Myers, Probability & Statistics for Engineers & Scientists , Person

Course Content

content serial Description
1An introduction to statistics and statistical analysis on data observation.
2Statistical measurements.
3Elementary Probability- Probability theorems.
4Conditional probability --Independent and dependent events.
5Total probability rule – Bayes’ Theorem and applications.
6Discrete probability distribution – probability mass function.
7Continuous probability distribution – probability density function. 7th week exam.
8Mathematical expectation, mean and variance.
9Special discrete distribution: Bernoulli , Binomial, Hypergeometric and Poisson distributions.
10Special continuous distribution: Uniform and exponential distribution.
11Special continuous distribution: normal distribution.
12Normal distribution.
13Discrete joint probability distribution.
14Continuous joint probability distribution.
15Final Revision.

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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