First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
DATA SCIENCE
Course unit
STATISTICAL LEARNING (C.I.)
SCP7079226, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course Second cycle degree in
DATA SCIENCE
SC2377, Degree course structure A.Y. 2017/18, A.Y. 2018/19
N0
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Number of ECTS credits allocated
Type of assessment Mark
Course unit English denomination STATISTICAL LEARNING (C.I.)
Website of the academic structure http://datascience.scienze.unipd.it/2018/laurea_magistrale
Department of reference Department of Mathematics
Mandatory attendance No
Language of instruction English
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge ALBERTO ROVERATO SECS-S/01

Modules of the integrated course unit
Course unit code Course unit name Teacher in charge
SCP7079227 STATISTICAL LEARNING 1 (MOD. A) ALBERTO ROVERATO
SCP7079228 STATISTICAL LEARNING 2 (MOD. B) ALBERTO ROVERATO

Course unit organization
Period  
Year  
Teaching method frontal

Calendar
Start of activities 01/10/2018
End of activities 28/06/2019

Examination board
Examination board not defined

Syllabus
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)