401-3620-69L  Student Seminar in Statistics: The Art of Statistics

SemesterAutumn Semester 2019
LecturersM. H. Maathuis
Periodicityevery semester recurring course
Language of instructionEnglish
CommentNumber of participants limited to 24

Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.



Courses

NumberTitleHoursLecturers
401-3620-00 SStudent Seminar in Statistics: The Art of Statistics2 hrs
Mon15:15-17:00HG D 7.2 »
M. H. Maathuis

Catalogue data

AbstractWe will study the book "The Art of Statistics: Learning from Data" by David Spiegelhalter. The focus of the book is not so much on technical aspects, but more on concepts, philosophical aspects, statistical thinking and communication. Chapters will be presented by pairs of students, followed by an open discussion with everyone in the class.
ObjectiveWe will study roughly one chapter per week from the book "The Art of Statistics: Learning from Data" by David Spiegelhalter. The focus of the book is not so much on technical aspects, but more on concepts, philosophical aspects, statistical thinking and communication. This will also be the focus of the class, but we may occasionally look up additional information from references that are given in the book. Besides improving your statistical thinking, you will practice your self-studying, collaboration and presentation skills.
LiteratureDavid Spiegelhalter (2019). The Art of Statistics: Learning from Data. UK: Pelican. ISBN: 978-0-241-39863-0
Prerequisites / NoticeBesides an introductory course in Probability and Statistics, we require one subsequent Statistics course. We also expect some experience with the statistical software R. Topics will be assigned during the first meeting.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersM. H. Maathuis
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places24 at the most
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupData Science MSc (261000)
Mathematics BSc (404000) starting semester 05
Statistics MSc (436000)
Mathematics MSc (437000)
Applied Mathematics MSc (437100)
Mathematics (Mobility) (448000)
Waiting listuntil 23.09.2019

Offered in

ProgrammeSectionType
Data Science MasterSeminarWInformation
Mathematics BachelorSeminarsWInformation
Mathematics MasterSeminarsWInformation
Statistics MasterSeminar or Semester PaperWInformation