This course aims at introducing the bases of descriptive statistics, probability theory and inferential statistics.
|16/10/2017||Additional lectures of the laboratory of Statistics and data analysis will start from Friday, october 20th.|
|04/10/2017||Computer science students who are not enrolled in the second year will have the choice between R and python as language to be used during the written test. Among those students, who has already followed a R laboratory or have already studied R, it is advisable to stay on R; instead, students not yet haviing studied any language for data analysis are advised to start directly with python. For the students of the other degrees, the R language remains the only option.|
|28/09/2017||The lecture notes are available also in interactive form.|
|28/09/2017||The starting date of lab lectures will be communicated later on.|
Lectures will take place at the educational sector of Città studi, according to the following provisional schedule:
|Monday||10:30 - 12:30||V3|
|Tuesday||9:30 - 12:30||V3|
Any change to the schedule will be announced in class and published in paragraph News of this page. There will be additional, non-compulsory, lab lectures each Friday, starting mid-october. The starting date will be communicated later on.
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
studenti.unimi.it) signing with name and student ID number and recalling that the response time may vary depending on the teacher commitments.
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).
Some lecutre notes for topics not covered by the textbooks are available.
The course explains the topics listed in the lecture calendar.
The exam consists in a written test, including problems to be solved through basics of the R language, followed by an oral test.