Statistics for Engineering

Course Description

The course is concerned with the quantification of uncertainty, which is present in several engineering applications, and the understanding of random variables which model such random events. The comprehension, modeling, control and application of random quantities. The course is focused in the exploitation of such concepts in telecommunication systems and networks.


Knowledge of calculus and linear algebra is required.

Course Goal

To provide students with the concepts and the comprehension of the probabilistic models and statistical characterization of model of random quantities. Tests and statistical measures on random variable functions (both discrete and continuous) in the context of an engineering course, specially in Telecommunications and Computer Engineering.

Program / Syllabus

  • Introduction to Probability
  • Random Variables
  • Pseudorandom Numbers Generation
  • Estimation of PDF and CDF
  • Hypothesis Tests
  • Linear Regression


  1. Steven M. Kay, Intuitive Probability and Random Processes using MATLAB. Springer, 2006.
  2. Alberto Leon-Garcia, Probability and Random Processes for Electrical Engineering. Prentice Hall, 3rd edition, 2007.
  3. José Paulo de Almeida e Albuquerque, José Mauro Pedro Fortes and Weiler Alves Finamore, Probabilidade, Variáveis Aleatórias e Processos Estocásticos, Editora PUC-Rio, 2008.

Material (in Portuguese)