Statistics and data analytics 2017-18

BSc in Computer science

Academic year

This course aims at introducing the bases of descriptive statistics, probability theory and inferential statistics.

Course schedule

Lectures will take place at the educational sector of Città studi, according to the following provisional schedule:

Day Hour Place
Monday 10:30 - 12:30 TBA
Tuesday 9:30 - 12:30 TBA

Any change to the schedule will be announced in class and published in paragraph News of this page.

Office hours

By appointment. It is possible contact the teacher by e-mail, taking care to read in advance the guide prepared by Prof. Sebastiano Vigna and clearly specifying in the message the course name and the academic year. In particular, students are encouraged to always use their academic address (i.e. based on the domain signing with name and student ID number and recalling that the response time may vary depending on the teacher commitments.

Course material

The parts on descriptive statistics are taken from the first three chapters of the textbook Ross, Introductory statistics, Academic press, 2010, ISBN 9780123743886 (marked by PS in the lectures calendar). Students enrolled in the course can download these chapters of the italian edition through authentication using their academic credentials.

The remaining part course is mainly based on the following textbook: Ross, S., Introduction to Probability and Statistics for Engineers and Scientists, Academic press, 2014, ISBN 978-0-12-394811-3 (marked by RPS in the lectures calendar).


The course explains the topics listed in the lecture calendar.

Lectures calendar


The lectures calendar is based on Google calendar and is accessible also through feed, iCal and Web.

Exam modalities

The exam consists in a written test, including problems to be solved through basics of the R language, followed by an oral test.

Exam sessions

Session Date