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

Office hours on 14 May 2019 are canceled.

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.

• Project can be done in groups of at most 3 students.
• Project must be completed by end of July, including oral discussion (on project and all topics of the course).
• Project replace the written exam but students have to register for the written dates in order to fill the student's questionnaire.
• Project presentation slides.
• 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. Oral consists of critical discussion of the written part and of open questions and problem solving on the topics of the course. Registration to exams is mandatory: register here

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