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.

Selection of past & upcoming events

start date events
  • 01/06/2021
Introduction to R - ONLINE Sold Out
  • 01/06/2021
Tools for Multivariate Data Analysis Sold Out
  • 04/06/2021
Introduction to R - ONLINE Sold Out
  • 08/06/2021
Essentials of qualitative research design - ONLINE Sold Out
  • 09/06/2021
Structural Equation Modeling
  • 16/06/2021
Multi-Group Structural Equation Models
  • 18/06/2021
Causality in qualitative research - ONLINE Sold Out
  • 21/06/2021
Introduction to R-Online Sold Out
  • 22/06/2021
What if your theory was a house you could walk in? Plugging post-structural and post-human theories into a societal phenomenon and an artistically inspired design - ONLINE Sold Out
  • 23/06/2021
Classification Methods- Episode 4: Decision Tree Models
  • 23/06/2021
Classification Methods- Episode 4: Decision Tree Models
  • 24/06/2021
Digital Ethnography Sold Out
  • 25/06/2021
Theoretical design and design of data collection in observational explanatory (causal) research
  • 28/06/2021
Item Response theory
  • 30/06/2021
Classification Methods- Episode 5: Bagging, Random Forests and Boosting
  • 04/08/2021
Classification Methods- Episode 6: Support Vector Machines
  • 20/09/2021
Theory Construction in Qualitative Research
  • 21/09/2021
Intervision session for advanced PhD students
  • 06/10/2021
Strategies in qualitative data-analysis from a grounded theory perspective Sold Out
  • 13/10/2021
Classification Methods- Episode 7: Artificial Neural Networks
  • 15/10/2021
A Practical Introduction to Data Science [ON CAMPUS]
  • 15/10/2021
Ethnographic research Sold Out
  • 18/10/2021
Literature Reviews with NVivo Sold Out
  • 18/10/2021
Data Wrangling in Python
  • 21/10/2021
Qualitative Comparative Analysis Sold Out
  • 25/10/2021
Strategies in qualitative data-analysis from a Grounded Theory perspective Sold Out
  • 27/10/2021
Classification Methods- Episode 8: Handling Imbalanced Data
  • 03/11/2021
Significance, P-values and t-tests Sold Out
  • 08/11/2021
Design and Analysis of Observational Studies
  • 09/11/2021
Narrative analysis
  • 10/11/2021
Data Visualization Sold Out
  • 15/11/2021
Introduction to Python [ON CAMPUS] Sold Out
  • 17/11/2021
Structural Equation Modeling
  • 18/11/2021
Statistical Modeling Using R - ONLINE Sold Out
  • 24/11/2021
Handling Missing Data
  • 24/11/2021
Introduction to R - ONLINE Sold Out
  • 26/11/2021
Critical Discourse Analysis [ON CAMPUS]
  • 26/11/2021
Thematic Analysis ONLINE
  • 29/11/2021
Method in Research Design [ON CAMPUS]
  • 30/11/2021
A Gentle Introduction to Penalized Regression
  • 02/12/2021
Developing interview questions and basic interview skills (ONLINE)
  • 02/12/2021
Photovoice: the use of participatory photography in qualitative research
  • 03/12/2021
Method in Data Collection [ONLINE]
  • 07/12/2021
Intervision session for advanced PhD students Sold Out
  • 08/12/2021
Data wrangling & tidying with Tidyverse – ONLINE
  • 08/12/2021
An Introduction to Big Data Processing - ONLINE
  • 16/12/2021
Writing qualitative research papers for publication in academic journals - ONLINE
  • 16/12/2021
(Statistical) Data Science for the Business User [ON CAMPUS]
  • 20/12/2021
Introduction to databases for young Researchers Sold Out
  • 12/01/2022
Introduction to non-parametric methods
  • 17/01/2022
Writing up your findings: the principles of getting your work published - ONLINE
  • 17/01/2022
Introduction to R Sold Out
  • 19/01/2022
Reproducibility and Repeatability in Scientific Research
  • 26/01/2022
Nuts and bolts of clustering algorithms
  • 26/01/2022
Introduction to Python for statistical data analysis - ONLINE Sold Out
  • 31/01/2022
Theory and Practice of Questionnaire Construction and Analysis - ONLINE
  • 04/02/2022
Introduction to Categorical Data Analysis with R - ONLINE Sold Out
  • 07/02/2022
Interviews (basic) - ONLINE Sold Out
  • 07/02/2022
SPSS for beginners
  • 08/02/2022
Creative with interviews - ONLINE Sold Out
  • 09/02/2022
Sampling distributions and the bootstrap
  • 10/02/2022
Global classroom arts-based research - ONLINE
  • 15/02/2022
Data tidying in Python with pandas - ONLINE
  • 16/02/2022
Power and Sample Size Calculations
  • 17/02/2022
Introduction to Python for Statistical Data Analysis - ONLINE Sold Out
  • 23/02/2022
Classification Methods- Episode 1: Logistic Regression
  • 25/02/2022
Regression with ordinal variables - ONLINE Sold Out
  • 02/03/2022
Association, Correlation and Causation Sold Out
  • 08/03/2022
Photovoice: the use of participatory photography in qualitative research - ONLINE
  • 09/03/2022
Mediation and Moderation Analysis Sold Out
  • 11/03/2022
Method in Research Design - ONLINE Sold Out
  • 14/03/2022
Missing Data
  • 23/03/2022
Exploratory data analysis with R - ONLINE
  • 23/03/2022
Causal Inference from Observational Studies: Matching
  • 25/03/2022
Text mining with R Sold Out
  • 28/03/2022
Focus Groups (for beginners) - ONLINE Sold Out
  • 29/03/2022
Data wrangling and visualization with R tidyverse - ONLINE
  • 30/03/2022
Classification Methods- Episode 2: Linear Discriminant Analysis
  • 04/04/2022
Introduction to Graphics using R - ONLINE
  • 06/04/2022
Multivariate data Analysis: Multiple Factor Analysis - ONLINE
  • 13/04/2022
Classification Methods- Episode 3: K-Nearest Neighbor (the lazy learner)
  • 15/04/2022
Method in Data Collection - ONLINE Sold Out
  • 20/04/2022
Causal effects from observational studies: Inverse Probability of Treatment Weights - ONLINE
  • 22/04/2022
Statistical Principles for Clinical Trials - ONLINE
  • 26/04/2022
Customizing reports with Rmarkdown - ONLINE
  • 27/04/2022
Classification Methods- Episode 4: Decision Tree Models
  • 03/05/2022
Using NVivo for qualitative data analysis (basic) - ON CAMPUS Sold Out
  • 04/05/2022
Multiple Testing - ONLINE
  • 04/05/2022
Introduction to R - CANCELLED
  • 09/05/2022
Qualitative data analysis with NVivo - ONLINE Sold Out
  • 10/05/2022
Quality assessment in qualitative research - ONLINE
  • 11/05/2022
Classification Methods- Episode 5: Bagging, Random Forests and Boosting
  • 12/05/2022
Strategies in qualitative data-analysis from a grounded theory perspective - ON CAMPUS
  • 12/05/2022
Focus group interviews (Advanced) - ONLINE
  • 16/05/2022
Introduction to R - ONLINE
  • 17/05/2022
Graphics in R - ON CAMPUS
  • 18/05/2022
Structural Equation Modeling
  • 25/05/2022
Classification Methods- Episode 6: Support Vector Machines
  • 01/06/2022
Classification Methods- Episode 7: Artificial Neural Networks
  • 03/06/2022
Searching text patterns using regular expressions
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