2020-21 2019-20 2018-19 2017-18 2016-17 2015-16

The course aim at introducing the fundamentals of descriptive statistics, probability and parametric inferential statistics.

## Expected results

Students will be able to carry out basic explorative analyses and inferences on datasets, they will know the main probability distributions and will be able to understand statistical analyses conducted by others; moreover, they will know simple methods for the problem of binary classification, and will be able to evaluate their performances. The students will also acquire the fundamental competences for studying more sophisticated techniques for data analysis and data modeling.

## News

Date Info
14/09/2021 Place and time of the Statistics and data analysis written test of September 22nd, 2021
The Statistics and data analytics written test of 22/9 will take place in the classrooms Delta and Gamma computer science department, starting from 9:30. Participants may bring a book and a notebook with them for consultation.
03/09/2021 Place and time of the Statistics and data analysis written test of September 8th, 2021
The Statistics and data analytics written test of 8/9 will take place in the classrooms Delta, Gamma, and Lambda at the computer science department, starting from 9:30. Participants may bring a book and a notebook with them for consultation.
12/07/2021 Public correction of the Statistics and data analysis written test of July, 2nd 2021
The public correction of the written test of 2/7 will take place on Friday 23/7 at 14:30, using the same zoom link of the remote oral tests.
04/07/2021 July oral tests of Statistics and data analysis
Students enrolled in the Statistics and data analysis test of 2/7 should receive an e-mail message containing the results and the schedule of oral tests. Students interested in attending to the tests can consult the schedule, as well as the remote examination procedures.
29/06/2021 Place and time of the Statistics and data analysis written test of July 2nd, 2021
The Statistics and data analytics written test of 2/7 will take place in the classrooms 307 and 309 at the settore didattico, starting from 9:30. Participants may bring a book and a notebook with them for consultation. Remote tests will take place in the afternoon of the same day: the involved students will receive instructions at their university email address.
24/06/2021 Public correction of the Statistics and data analysis written test of June, 14th 2021
The public correction of the written test of 14/06 will take place on Tuesday 29/6 at 14:30, using the same zoom link of the remote oral tests.
18/06/2021 June oral tests of Statistics and data analysis
Students enrolled in the Statistics and data analysis test of 14/6 should receive an e-mail message containing the results and the schedule of oral tests. Students interested in attending to the tests can consult the schedule, as well as the remote examination procedures.
09/06/2021 Place and time of the Statistics and data analysis written test of June 14th, 2021
The Statistics and data analytics written test of 14/6 will take place in the classrooms 307 and 309 at the settore didattico, starting from 14:30. Participants may bring a book and a notebook with them for consultation. Remote tests will take place after the end of in-presence tests: the involved students will receive instructions at their university email address.
31/05/2021 Office hours change
Starting Monday 31/05, office hour will be handled via e-mail.
27/05/2021 Availablity of recorded lectures of «Statistics and data analysis» (B.Sc. in Computer science) and of «Algorithms for massive datasets» (Master in Computer Science)
The videorecorded lectures of the courses «Statistics and data analysis» (B.Sc. in Computer science) and of «Algorithms for massive datasets» (Master in Computer Science) will be available until June 19th.
28/04/2021 Office hours on April, 30th
The office hours of April, 30th are canceled.
01/04/2021 Office hours on April, 2nd
The office hours of April, 2nd are canceled.
Access to the recorded lectures is allowed only to students who have signed up in the course moodle page. Should this not be possible, students are asked to contact the teacher.
10/03/2021 Office hours change for the course «Statistics and data analytics»
The 12/03 office hours of the course «Statistics and data analytics» will start at 18:30.
29/09/2020 Semester for the Statistics and data analytics course
The class of Statistics and data analytics will be delivered in the spring semester.

## Language

Lectures are in italian.

## Course schedule

Lectures take place (until further notice) using a hybrid modality: in presence at the educational sector of "Città studi", and online through authentication to a zoom link published on the moodle page of the course. The provisional schedule is as follows:

Day Hour Place
Tuesday 11:30 - 13:30 303
Thursday 14:30 - 17:30 Beta

Any change to the schedule will be announced in class and published in paragraph News of this page. The recording of lectures, marked with (R) in the schedule, is available until the end of the course, through access to the corresponding moodle page.

## Office hours

By appointment (via e-mail). 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.

Specific, group-based office hours for the course will be organized on a weekly basis, each Friday at 17:30 using the same zoom link of lectures.

### 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). These chapters (from the italian edition) can be downloaded through authentication using the previously described 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 through a github repository, as well as in a form directly executable in a Web browser.

## Syllabus

The course explains the topics listed in the lecture calendar.

### Prereqs

Students shall have passed the exam of «Calculus»; besides that, the course requires knowledge of the main topics of computer programming, and having passed the exam of «Discrete mathematics» is strongly suggested.

## Exam modalities

The exam consists of a written and an oral test, both relating to the topics covered in the course. The written test takes place in a computer-based room and it lasts two hours and a half. It is based on open-ended questions and on the analysis of a dataset through the adequate application of the statistical techniques described during the classes. The evaluation, with a mark of pass/fail, takes into account the level of mastery of the topics and the correct use of mathematical formalism.

The oral test, which is accessed after passing the written test, is based on the discussion of the written test answers and on questions concerning topics covered in the course. Its evaluation, expressed on a scale between 0 and 30, takes into account the level of mastery of the topics, the clarity, the language skills, and the correct use of technical jargon.

## Exam sessions

Session Date
June 14/06/2021
July 02/07/2021
September 08/09/2021
September 22/09/2021
January N/A
February N/A