Social Network Analysis Visualization by MartinGrandjean CC BY-SA 3.0

Anmäl dig
18.4.2017 kl. 09:00 - 9.5.2017 kl. 23:59

Tidsschema

I den här delen hittar du kursens tidsschema. Kontrollera eventuella andra tider i kurspresentationen.

DatumTidPlats
tors 20.4.2017
14:00 - 16:00
tis 25.4.2017
10:00 - 12:00
tis 2.5.2017
10:00 - 12:00
tis 9.5.2017
09:00 - 11:00
tis 16.5.2017
10:00 - 12:00
tis 23.5.2017
10:00 - 12:00

Kurspresentation

Correspondence analysis (CA) is a versatile method of multivariate analysis for analysing and
visualizing tables of categorical data, typically cross-tabulations. Multiple correspondence analysis
(MCA) is the extension of CA to the analysis and visualization of multivariate categorical data,
typically responses to several questions in a questionnaire survey.

1) lectures: max 100 students

Thu 20.4, 14-16, F26 juhlasali (KICK-OFF / presentation lecture)

Tue 25.4 - 23.5, 10-12, F26 juhlasali (exception: Tue 9.5 at 9-11, same place)

2) computer class: max 40 students (24 computers: BYOD)

Tue 25.4 - 23.5, 16-18, SSKH IT-SAL

Credits: 1-5

KICK-OFF Thu 20 Apr 14-16! Course Tue 25 Apr - 23 May.

Enquiries: kimmo.vehkalahti@helsinki.fi (Centre for Research Methods, Faculty of Social Sciences)

Professor Michael Greenacre, Universitat Pompeu Fabra, Catalonia, Spain