Social Sciences

Structural Equation Modeling in R using Lavaan

Faculty of Social and Behavioural Sciences (UU)

In this e-learning course we will cover the basics of structural equation modeling (SEM) using the R package lavaan. Participants will learn how to interact with the lavaan software and how to run common types of structural equation models (e.g., path models, confirmatory factor analyses, latent regression models, multiple group models) using lavaan. No prior knowledge of lavaan is necessary, but some experience with R and SEM (although not strictly required) is strongly encouraged.

•••••••••••••• course director Kyle M. Lang level Master period 3 July 2023 - 14 July 202 credits 1.5 ECTS course fee € 620

Data Science: Network Science

Faculty of Social and Behavioural Sciences (UU)

How can networks help us understand and predict social systems? How to find important individuals and communities? How to predict unobserved connections between genes? How to learn the dependencies between interrelated entities? How can we stop disease or information spreading in networks? 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.

•••••••••••••• course director Dr. Javier Garcia-Bernardo level Master period 10 July 2023 - 14 July 2023 credits 1.5 ECTS course fee € 720 housing fee € 200

An Introduction to Qualitative Research Methods

Faculty of Social and Behavioural Sciences (UU)

In this summer course, you will receive an introduction to qualitative research methods. We will discuss the philosophical grounds of qualitative research and indicate how to check the quality of qualitative research. You will receive an interview training and you will be working on a vignette – a form of writing/ reporting common to ethnography. We will give an overview of the methods of data analysis, and you will practice with inductive coding, following Grounded Theory procedures.

•••••••••••••• course director Drs. Marieke den Otter level

Advanced Master period 10 July 2023 - 14 July 2023 credits 1.5 ECTS course fee € 720 housing fee € 200

Data Science: Applied Text Mining

Faculty of Social and Behavioural Sciences (UU)

This course introduces the basic and advanced concepts and ideas in text mining and natural language processing. In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with machine learning and deep learning algorithms. The course has a strongly practical hands-on focus, and students will gain experience in using text mining on real data from social sciences, humanities, and healthcare and interpreting the results.

•••••••••••••• course director Dr. Ayoub Bagheri level

Advanced Master period 17 July 2023 - 21 July 2023 credits 1.5 ECTS course fee € 720 housing fee € 200