Search for contacts, projects,
courses and publications

Probability & Statistics

Description

The class provides an introduction to probability theory, descriptive statistics (data exploration and graphical inference; measures of central tendency, dispersion, and correlation; simple and multiple linear regression), and inferential statistics (sampling distributions, confidence intervals, hypothesis testing). Theoretical concepts in the course will be illustrated with real-life examples and datasets, which students will analyse using the R software environment.

 

 

REFERENCES

  • William Feller: An introduction to probability theory and its applications. J. Wiley, 1968-1971.
  • Steven J. Miller: The Probability Lifesaver. Princeton University Press, 2017.
  • Darrell Huff: How to lie with statistics. W.W. Norton & Co, 1954.
  • Hogg, Tanis, Zimmerman: Probability and Statistical Inference, Ninth Edition. Pearson, 2015.

People

 

Eynard D.

Course director

Verzelli P.

Assistant

Zambon D.

Assistant

Additional information

Semester
Fall
Academic year
2018-2019
ECTS
6
Language
English
Education
Bachelor of Science in Informatics, Core course, Lecture, 2nd year

Master of Science in Management and Informatics, Management track, Lecture, 1st year