Course Unit Page
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Teacher Elena Loli Piccolomini
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Credits 6
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SSD MAT/08
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Teaching Mode Traditional lectures
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Language Italian
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Campus of Bologna
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Degree Programme First cycle degree programme (L) in Information Science for Management (cod. 8014)
Academic Year 2017/2018
Learning outcomes
At the end of the course the student has acquired:
-the knowledge of software instruments for the data analysis
- the definition and the main characteristics of continuous and
discrete distributions with their moments
- some numercial methods for linear regression and its application
in economy
- the Page Rank algorithm for data mining.
Course contents
Definitions and examples on probability. Discrete and
continuous distributions. Descriptive statistics. Points and
interval estimations. Hypothesis test. Least squares data
approximation: linear regression and polynomial functions of higher
order. Numerical methods for the solution of the discrete linear
least squares problem.
Simulations and programming environment R. Principal functions for
graphics and data analysis. Guided exercises on examples with
simulated and real data.
Readings/Bibliography
1) E. Loli
Piccolomini, A. Messina, Statistica e calcolo con R, McGraw-Hill
Education, settembre 2015
2)J. K. Kerns, Introduction to probability and statistics using R,
download from CRAN
Teaching methods
Lessons and guided exercises on laptop.The exercises consist in small programs in the R environment on the main topics dealed with in the lessons.
Assessment methods
Written and oral exam with the discussion of the exercises proposed by the
teacher during the course.
Teaching tools
Links to further information
http://www.dm.unibo.it/~piccolom/statnum
Office hours
See the website of Elena Loli Piccolomini