logo-polimi
Loading...
Degree programme
Programme Structure
Show/Search Programme
Course Details
Save Document
Degree Programme
Read Degree Programme
Faculty
Infrastructures
Quantitative data
International context
Customized Schedule
Your customized time schedule has been disabled
Enable
Search
Search a Professor
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English

Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2018/2019
School School of Industrial and Information Engineering
Name (Bachelor of Science degree)(ord. 270) - MI (358) Engineering of Computing Systems
Track IT1 - Ingegneria Informatica e Comunicazioni
Programme Year 2

Course Details
ID Code 099320
Course Title THEORY OF STOCHASTIC PROCESSES
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 10.0
Semester Second Semester
Course Description Random experiments, and relative frequency. Events. Probability of an event. Joint probabilities. Statistical independence. Conditional probabilities. Theorem of total probability. Bayes' theorem. Combinatorics. Random variables. Probability distribution and probability density function. Continuous and discrete random variables. Moments, mean value, variance. Joint, marginal, and conditional distributions and probability densities. Independence. Joint moments. Distribution, probability density, and mean value of functions of random variables. Law of large numbers, central limit theorem. Continuous and discrete random processes. Probability density, auto-correlation, auto-covariance. Stationary processes, ergodic processes. Sampling of a population, sample moments. Least squares and maximum likelihood estimation. Filtering, prediction, decision. Information measure. Source coding. Transmission channels.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/03
TELECOMMUNICATIONS
10.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZBarletta Luca
manifesti v. 3.2.0 / 3.2.0
Area Servizi ICT
29/01/2020