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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2016/2017
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - BV (479) Management Engineering
Track FIN - FINANCE
Programme Year 2

Course Details
ID Code 097382
Course Title APPLIED STATISTICS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester First Semester
Course Description The course covers new approaches in the areas of statistical modeling and data analysis, using ideas that bridge the gap between statistics and computer science and developing tools for the statistical mining of big data. The focus is on predictive learning, with particular emphasis on recent advances in regression and classification. Topics include: linear models; dimensionality reduction; supervised learning, regression and classification; unsupervised learning and clustering; assessing uncertainty through resampling methods.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
--
SECS-S/01
STATISTICS
5.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZSecchi Piercesare
manifesti v. 3.3.7 / 3.3.7
Area Servizi ICT
09/07/2020