851-0586-03L  Applied Network Science: Sports Networks

SemesterSpring Semester 2021
LecturersU. Brandes
Periodicityevery semester recurring course
Language of instructionEnglish
CommentNumber of participant limited to 20



Courses

NumberTitleHoursLecturers
851-0586-03 SApplied Network Science: Sports Networks
Tagesseminar: Freitag, 11.6.,2021

Anfangszeiten:
Freitag 16:15
Tagessemianr: 09:15
28s hrs
Fri/2w16:00-18:00ON LI NE »
11.06.09:00-19:00ON LI NE »
U. Brandes

Catalogue data

AbstractWe study applications of network science methods, this time in the domain of sports.
Topics are selected for diversity in research questions and techniques
with applications such as passing networks, team rankings, and career trajectories.
Student teams present results from the recent literature, possibly with replication, in a mini-conference shortly before the start of EURO 2020 [sic].
Learning objectiveNetwork science as a paradigm is entering domains from engineering to the humantities but application is tricky.
By examples from recent research on sports, sports administration, and the sociology of sports, students learn to appreciate that, and how, context matters.
They will be able to assess the appropriateness of approaches
for substantive research problems, and especially when and why quantitative approaches are or are not suitable.
LiteratureOriginal research articles will be introduced in the first session. General introduction:

Wäsche, Dickson, Woll & Brandes (2017). Social Network Analysis in Sport Research: An Emerging Paradigm. European Journal for Sport and Society 14(2):138-165. DOI: 10.1080/16138171.2017.1318198

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersU. Brandes
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without 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

Places20 at the most
Waiting listuntil 13.03.2021

Offered in

ProgrammeSectionType
Data Science MasterInterdisciplinary ElectivesWInformation
Doctoral Department of Humanities, Social and Political SciencesDoctoral and Post-Doctoral CoursesWInformation
GESS Science in PerspectiveSociologyWInformation