BSc in Computer science (Università degli Studi di Milano)

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 |
---|---|

21/02/2022 |
February oral tests (2nd session) of Statistics and data analysis The Statistics and data analysis oral tests for february (2nd session) will take place on 23/2 at 15:30 and on 24/2 at 14:30. Students interested in attending to the tests can connect using zoom. The public correction of the written test will take place online after the oral tests of 24/2. |

13/02/2022 |
Place and time of the Statistics and data analysis
written test of February 15th, 2022 The Statistics and data analytics written test of 15/2 will take place in the classroom Gamma of the computer science department, starting at 9:30. To avoid gatherings, students are summoned according to the initial of their surname: A-K 9:30, L-Z 9:40. Participants may bring a book and a notebook for consultation and must wear a face mask (the use of FFP2 masks is strongly advised). |

08/02/2022 |
February oral tests of Statistics and data analysis The Statistics and data analysis oral tests for february will take place on 8 and 11/2 at 15:30. Students interested in attending to the tests can connect using zoom. The public correction of the written test will take place online after the oral tests of 11/2. |

27/01/2022 |
Place and time of the Statistics and data analysis
written test of February 1st, 2022 The Statistics and data analytics written test of 1/2 will take place in the classroom Delta of the computer science department, starting at 9:30. To avoid gatherings, students are summoned according to the initial of their surname: A-F 9:30, G-Z 9:40. Participants may bring a book and a notebook for consultation and must wear a face mask (the use of FFP2 masks is strongly advised). |

25/01/2022 |
January oral tests of Statistics and data analysis and public correction The Statistics and data analysis oral tests for january will take place on 26 and 27/1 at 9:30. Students interested in attending to the tests can connect using zoom. The public correction of the written test will take place online after the oral tests of 27/1. |

12/01/2022 |
Place and time of the Statistics and data analysis
written test of January 17th, 2022 The Statistics and data analytics written test of 17/1 will take place in the classroom Delta of the computer science department, starting at 14:30. To avoid gatherings, students are summoned according to the initial of their surname: A-C 14:30, D-N 14:40, P-Z 14:50. Students must wait outside the department for the convocation time. Participants may bring a book and a notebook for consultation and must wear a face mask (the use of FFP2 masks is strongly advised). Eligible students who have sent the corresponding request will be able to catch up the round in a special session organized before 31/1. |

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. |

30/03/2021 |
Access to recorded lectures 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, room 5015 of the Computer Science Department.
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 lecture 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.

## Lectures calendar

## 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 |