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, significance testing). Theoretical concepts in the course will be illustrated with real-life examples and datasets, which students will analyse using the R software environment.
The course is exceptionally offered in the spring semester for the academic year 2016/17
REFERENCES
- Elements of information theory [Archivio elettronico] / Thomas M. Cover, Joy A. Thomas. - Hoboken, N.J. : Wiley-Interscience, 2006.
- An introduction to probability theory and its applications / William Feller. - New York [etc.] : J. Wiley, 1968-1971.
- Lecture notes will be made available on the e-learning platform.
People
Additional information
Semester
Spring
Academic year
2016-2017
ECTS
6
Education
Bachelor of Science in Informatics, Core course, Lecture, 2nd year
Master of Science in Management and Informatics, Management track, Lecture, 1st year
Master of Science in Management and Informatics, Management track, Lecture, 1st year
