• 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.

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 completed by end of July, including oral discussion (on 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.
• 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. 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. 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