• Salvatore Ruggieri
  • Università di Pisa
  • http://pages.di.unipi.it/ruggieri/
  • salvatore [dot] ruggieri [at] unipi [dot] it
• Office hours
  • Tuesday h 14:00 - 17:00, Department of Computer Science, room 321/DO.
  • Office hours only via skype. Skype contact: salvatore.ruggieri

Students should be comfortable with most of the topics on mathematical calculus covered in:

• [P] J. Ward, J. Abdey. Mathematics and Statistics. University of London, 2013. Chapters 1-8 of Part 1.

Extra-lessons refreshing such notions may be planned in the first part of the course.

The following are mandatory text books:

• [T] F.M. Dekking C. Kraaikamp, H.P. Lopuha, L.E. Meester. A Modern Introduction to Probability and Statistics. Springer, 2005.
• [R] P. Dalgaard. Introductory Statistics with R. 2nd edition, Springer, 2008.

• R
• R Studio

• Preliminary program.
• Calendar of lessons.

• The project can be done in groups of at most 3 students.
• The project must be delivered (report + code) by end of July.
• The oral discussion must be done by the September session, and it will cover both the project and all topics of the course.
• The project replaces the written exam but students have to register for the written dates in order to fill the student's questionnaire.
• Groups ready to discuss send the project to the teacher plus availability time slots for oral discussion.
• Project presentation slides and project info audio-video (.flv) and project data audio-video (.flv).
• Google Drive project directory (accessible only to authorized students)

There are no mid-terms. The exam consists of a written part and an oral part. The written part consists of exercises on the topics of the course. Each question is assigned a grade, summing up to 30 points. Students are admitted to the oral part if they receive a grade of at least 18 points. Written exam consists of open questions and exercises. Example written texts: sample1, sample2. Oral consists of critical discussion of the written part and of open questions and problem solving on the topics of the course.
Online exams: during the COVID-19 restrictions, the written part and the oral part will be online. For the written part, students will connect to Google Meet (room code: 500PP) and will activate both microphone and web-cam. Each sheet will include name, surname, student id, and it will be signed. A picture of the sheets will be delivered to ruggieri [at] di [dot] unipi [dot] it.

Registration to exams is mandatory (look at the deadline for registering!): register here

Distance-learning lessons: see instructions for Google Meet and use the room code: 500PP.

• Statistical Methods for Data Science A.Y. 2018/19
• Statistical Methods for Data Science A.Y. 2017/18
• Statistical Methods for Data Science A.Y. 2016/17