- Utrecht Summerschool
- Filters verwijderen
Filter op:
Fundamentals of Global Health (Summerschool)
The course introduces participants to major public health challenges in lower- and middle-income countries.
Structural equation modelling in Mplus (online)
If you expect to work with the software Mplus, this course can help you to get started! This one-day workshop is a compact introduction to Mplus. It covers data preparation, model syntax, common errors, output interpretation, and error handling.
Fair Land Governance and the Politics of Competing Claims
This course is about the multiple and competing claims on land by various actors (e.g. governments, private sector, communities, non-human actors), how these claims are framed, and how they can be understood.
An introduction to Qualitative Research Methods
Everything you need for doing qualitative research and focus on the quality of qualitative research.
AI-Aided Systematic Reviewing
In the five-day course AI Aided Systematic Reviewing you will learn to work with the open-source software ASReview. This will speed up your systematic review and reduce the number of papers to screen up to 95%.
Governance, Design and Delivery of Interdisciplinary Higher Education
This course introduces participants to this comprehensive approach and to the toolkit Utrecht University has developed to make it operational across our large institution.
Cross-national data: From questionnaire development to analysis
This course provides a toolkit to collect and/or work with multi-national, multi-lingual, and multi-cultural (3MC) data.
Network Science
In this course, we provide participants with the conceptual and practical skills necessary to use network science tools to answer social, economic and biological questions.
Data Science: Programming with Python
This course offers an introduction to computational thinking about data-related problems and the implementation of data analysis programmes with Python.
Applied Multivariate Analysis
The summer school course Applied Multivariate Analysis offers hands-on experience using SPSS for the most frequently encountered multivariate statistical techniques in social and behavioural sciences.
