2023_24
Educational guide 
School of Engineering
A A A 
english 
Bachelor's Degree in Computer engineering (2010)
 Subjects
  STATISTICS
   Learning outcomes
Type A Code Learning outcomes
 A2 Calculate the descriptive statistical parameters of a population.
Use the most common probability distribution models to model real situations.
Know the situations modelled by stochastic processes.
Be able to analyse a situation from the point of view of statistical inference.
Understand the descriptive statistical parameters of a population.
 FB1 Understand binomial, normal, exponential and Poisson probability distributions.
Use the most common probability distribution models to model real situations.
Understand the fundamentals of queuing theory.
Be able to apply the fundamentals of queuing theory to IT.
Understand the basis of statistical inference.
Type B Code Learning outcomes
 B2 Master the central limit theorem.
Use the stochastic process techniques in specific problems.
Understand the fundamentals of queuing theory.
Know the techniques of regression.
Type C Code Learning outcomes