Data Mining and Computational Statistics

A.Y. 2017/2018
Lesson for
9
Max ECTS
60
Overall hours
Language
English
Learning objectives
Course objectives are:
· To introduce students to the expanding world of big data analysis.
· To introduce students to basic concepts, techniques and applications of computational statistics & data mining to be used in finance and economics.
· To develop skills for using the R software in order to solve practical problems
· To achieve skills for doing independent study and research.

Course structure and Syllabus

Active edition
Yes
Responsible
Lessons: 60 hours
Professor: Manzi Giancarlo
Lesson period
Second trimester
Lesson period
Second trimester
Assessment methods
Esame
Assessment result
voto verbalizzato in trentesimi
Professor(s)
Reception:
Wed 4.30PM-7.30PM.
Room 37, 3rd Floor.