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 |
---|---|

26/02/2024 |
February oral tests of Statistics and data
analysis (2nd session) Students enrolled in the Statistics and data analysis test of 20/2 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the meeting room on the fifth floor of the Computer Science Department, on Thursday 29/2 at 9:30 and on Friday 1/3 at 14:30. The public correction of the exam will take place on 1/3 at the end of the oral exams. |

14/02/2024 |
Place and time of the Statistics and data analysis
written test of February 20th, 2024 The Statistics and data analytics written test of 20/2 will take place in the classroom sigma of the computer science department, at 8:30. Participants can bring a book and a notebook for consultation. |

08/02/2024 |
February oral tests of Statistics and data
analysis (1st session) Students enrolled in the Statistics and data analysis test of 5/2 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the Computer Science Department, on Monday 12/2 at 14:30 (lab. laurea magistrale, 5th floor) and on Tuesday 13/2 at 9:30 (meeting room, 3rd floor). The public correction of the exam will take place on 13/2 at the end of the oral exams. |

01/02/2024 |
Place and time of the Statistics and data analysis
written test of February 5th, 2024 The Statistics and data analytics written test of 5/2 will take place in the classroom sigma of the computer science department, at 8:30. Participants can bring a book and a notebook for consultation. |

23/01/2024 |
January oral tests of Statistics and data analysis Students enrolled in the Statistics and data analysis test of 19/1 should receive an e-mail message containing the results and the schedule of oral tests, which will take place on the fifth floor of the Computer Science Department, at 9:30 and 14:30 on Friday 26/1 (sala riunioni) and at 9:30 on Monday 29/1 (lab. magistrale). The public correction of the exam will take place on 29/1 at the end of the oral exams. |

16/01/2024 |
Place and time of the Statistics and data analysis
written test of January 19th, 2024 The Statistics and data analytics written test of 19/1 will take place in the classroom omega of the computer science department, at 8:30. Participants can bring a book and a notebook for consultation. |

20/11/2023 |
Date change for the written test of Statistics and data analytics of January 2024 The written test of Statistics and data analytics of January has been postponed to 19/01/2024. |

17/09/2023 |
September oral tests of Statistics and data analysis Students enrolled in the Statistics and data analysis test of 13/9 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the meeting room on the fifth floor of the Computer Science Department, at 14:30 on Tuesday 19/9 and at 14:30 on Thursady 20/9. |

10/09/2023 |
Place and time of the Statistics and data analysis
written test of September 13th, 2023 The Statistics and data analytics written test of 13/9 will take place in the classrooms omega and sigma of the computer science department, at 8:30. Participants can bring a book and a notebook for consultation. |

11/07/2023 |
July oral tests of Statistics and data analysis Students enrolled in the Statistics and data analysis test of 6/7 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the fifth floor of the Computer Science Department on Thursday 13/07 (14:30, meeting room), Friday 14/07 (9:30, meeting room and 14:30, lab. magistrale), and Monday 17/07 (9:30 and 14:30, meeting room). The public correction of the written test will take place on 17/7 at the end of the oral tests. |

11/07/2023 |
Office hours change Starting Tuesday 11/07, office hour will be by appointment, to be organized via e-mail. |

30/06/2023 |
Date change for the written test of Statistics and data analytics of September 2023 The written test of Statistics and data analytics of September has been postponed to 13/09/2023. |

30/06/2023 |
Place and time of the Statistics and data analysis
written test of July 6th, 2023 The Statistics and data analytics written test of 6/7 will take place in the classrooms omega and sigma of the computer science department, at 8:30. Participants may bring a book and a notebook for consultation. |

26/06/2023 |
June oral tests of Statistics and data analysis Students enrolled in the Statistics and data analysis test of 22/6 should receive an e-mail message containing the results and the schedule of oral tests, which will take place in the Compunter Science Department on Wednesday 28/06 (14:00, lab. magistrale 5th floor), Thursday 29/06 (9:00, sala riunioni 4th floor, 14:00, sala riunioni 5th floor), Friday 30/06 (9:00, lab. magistrale 5th floor) and Monday 03/07 (9:00 e 14:30, lab. magistrale 5th floor). The public correction of the written test will take place on 3/7 at the end of the oral tests. |

21/06/2023 |
Place and time of the Statistics and data analysis
written test of June 22nd, 2023 The Statistics and data analytics written test of 22/6 will take place in the classrooms delta and gamma of the computer science department, at 8:30. Participants may bring a book and a notebook for consultation. |

14/06/2023 |
Office hours on June, 15th The office hours of June, 15th are canceled. |

07/06/2023 |
Office hours on June, 8th The office hours of June, 8th will take place remotely, using the address https://meet.jit.si/ricevimento-malchiodi. |

03/04/2023 |
Cancellation of the Statistics and data analytics lecture of 13/4 The Statistics and data analytics lecture of 13/4 is canceled. It will be held later during the course. |

31/03/2023 |
Date change for the written test of Statistics and data analytics of June and July 2023 The written test of Statistics and data analytics of June and July have been postponed to 22/06/2023 and to 06/07/2023. |

28/03/2023 |
Schedule change for the Apr, 4th lecture of
«Statistics and data analytics» The «Statistics and data analytics» lecture of 04/04 will start at 11:00. |

16/03/2023 |
Office hours on March, 23rd The office hours of March, 23rd are canceled. |

03/03/2023 |
Date change for the written test of Statistics and data analytics of June 2023 The written test of Statistics and data analytics of June has been postponed to 16/06/2023. |

## Language

Lectures are in italian.

## Course schedule

Lectures take place in presence, during the spring semester, at the "Città studi" educational sector. The schedule is as follows:

Day | Hour | Place |
---|---|---|

Tuesday | 10:30 - 12:30 | V3 (didatteca) |

Thursday | 13:30 - 16:30 | Aula magna (Dip. di Informatica) |

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

### 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.

The book Wess McKinney, Python for Data Analysis, third edition, O'Reilly 2022, which is also available online, can be used for strenghtening the knowledge of Python.

## 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

Students **should** sign up for the examination session in order
to be admitted at the exam.

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 | 15/06/2023 22/06/2023 | |

July | 03/07/2023 06/07/2023 | |

September | 12/09/2023 13/09/2023 | |

January | 17/01/2024 19/01/2024 | |

February | 05/02/2024 | |

February | 20/02/2024 |