Courses & seminars

FLAMES organizes several courses into methodology and statistics throughout the academic year. The level of difficulty ranges from beginner, over intermediate to advanced. Our program includes inter-university courses and local events. Inter-university courses are multi-day courses on statistical or methodological topics, that are a collaboration between FLAMES coordinators from at least 3 universities. The venue of inter-university courses rotates between the five universities, and some of the courses are organized more than once a year. Local events are organized by one university, and include seminars, workshops and 1-to-many day courses.

All FLAMES courses are free of charge for PhD students and postdoctoral researchers. The courses are also accessible to researchers from other (non-Flemish) universities and for people from the private sector, albeit not free of charge.

You will be able to download a pdf from all the FLAMES courses and seminars pretty soon here.

important notice: If you want to register for more than one event, please do it separately.

start date events
  • 03/12/2020
Spatial Analysis using R - ONLINE
  • 04/12/2020
Introduction to data analysis with Python - ONLINE Sold Out
  • 07/12/2020
Design and Analysis of Observational Studies - ONLINE
  • 10/12/2020
Quality assessment in qualitative research - ONLINE Sold Out
  • 11/12/2020
An introduction to writing qualitative research papers for publication in academic journals - ONLINE Sold Out
  • 14/12/2020
Intervision of Qualitative Projects Sold Out
  • 14/12/2020
Data wrangling & tidying with Tidyverse – ONLINE Sold Out
  • 16/12/2020
An introduction to databases for young researchers - ONLINE Sold Out
  • 16/12/2020
Method in Data Collection - ONLINE
  • 16/12/2020
Data Transformation: the Good, the Bad, the Ugly - ONLINE Sold Out
  • 17/12/2020
Theory Construction in Qualitative Research (Online) Sold Out
  • 18/12/2020
Doing research during a pandemic: learning from practice - ONLINE
  • 21/12/2020
Critical Discourse Analysis: an introduction - ONLINE Sold Out
  • 13/01/2021
Introduction to Non-Parametric Methods
  • 20/01/2021
Reproducibility and Repeatability in Scientific Research
  • 25/01/2021
Introduction to Python for statistical data analysis - ONLINE Sold Out
  • 27/01/2021
Nuts and bolts of clustering algorithms
  • 01/02/2021
Introduction to R
  • 03/02/2021
Power and sample size calculations
  • 08/02/2021
SPSS for Beginners
  • 10/02/2021
Scraping tables from PDFs with pdftools package (in R) – ONLINE
  • 11/02/2021
Global classroom arts-based research - ONLINE Sold Out
  • 17/02/2021
Resampling Techniques
  • 01/03/2021
Data wrangling and visualization with R tidyverse
  • 04/03/2021
Customizing reports with Rmarkdown
  • 17/03/2021
Association, Correlation and Causation
  • 24/03/2021
Mediation and Moderation Analysis
  • 12/05/2021
Limited Dependent Variable Models