Unit PROBABILITY THEORY
- Course
- Computer science and electronic engineering
- Study-unit Code
- 70A00056
- Curriculum
- In all curricula
- Teacher
- Paolo Carbone
- Teachers
-
- Paolo Carbone
- Hours
- 54 ore - Paolo Carbone
- CFU
- 6
- Course Regulation
- Coorte 2021
- Offered
- 2022/23
- Learning activities
- Caratterizzante
- Area
- Ingegneria elettronica
- Academic discipline
- ING-INF/07
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Introduction to statistics: continuous, discrete and mixed random variables. Probability density functions. Probability distribution functions. Joint random variables.
- Reference texts
- Roy. D. Yates, David J. Goodman, Probability and Stochastic Processes, John Wiley & Sons Inc; 2nd International Edition, 2004.
Handouts by the instructor. - Educational objectives
- The ability to use basic tools of statistics in the framework of engineering applications.
- Prerequisites
- Nessuno
- Teaching methods
- Classical
- Other information
- None
- Learning verification modality
- Oral and written examination
- Extended program
- Descriptive statistics: measures of location and variation, frequency tables, bar diagrams, histograms, other diagrams and tools for visualisation. Introductory combinatorics and probability theory. Probability distributions: binomial, Poisson, normal, exponential. Engineering applications, selected examples.