
Course unit
STATISTICAL LEARNING (C.I.)
SCP7079226, A.A. 2018/19
Information concerning the students who enrolled in A.Y. 2018/19
Modules of the integrated course unit
Course unit organization
Period 

Year 

Teaching method 
frontal 
Start of activities 
01/10/2018 
End of activities 
28/06/2019 
Examination board
Examination board not defined
Prerequisites:

basic probability theory; multivariable calculus; linear algebra; basic computing skills 
Target skills and knowledge:

become familiar with statistical thinking; gain adequate proficiency in the development and use of standard statistical inference tools; be able to analyse datasets using a modern programming language such as R 
Examination methods:

written test 
Assessment criteria:

the successful student should show knowledge of the key concepts, skills in the analysis of data and competency in applications 
Innovative teaching methods: Teaching and learning strategies
 Lecturing
 Laboratory
 Problem based learning
 Case study
Innovative teaching methods: Software or applications used
 Moodle (files, quizzes, workshops, ...)
 Latex
 R (free download)

