All Courses
On this page you can find all the courses and tracks offered by the Utrecht Summer School. Detailed information is published on all individual course pages.
42 course(s) found
Psycholinguistics - UiL OTS
This elementary to intermediate level course will provide the student with a basic knowledge of psycholinguistics, a research domain on the intersection of linguistics, psychology and neuroscience. Three major research topics in psycholinguistics will be presented: language comprehension, language production and (first) language acquisition. In addition, we will discuss language disorders, both acquired (aphasia) and innate (developmental…
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Data Science: Data Analysis
This course offers a range of techniques and algorithms from statistics, machine learning and data mining to make predictions about future events and to uncover hidden structures in data. The course has a strong practical focus: participants actively learn how to apply these techniques to real data and how to interpret their results. The course covers both classical and modern topics in data analysis.
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Data Science: Network Science
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…
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Developmental Psychopathology and Psychological Assessment in Childhood and Adolescence
This course focuses on how scientific knowledge on developmental psychopathology is applied in clinical practice for children and adolescents. Students will acquire theoretical and applied knowledge on psychological assessment and the diagnostic decision-making process. Students will get acquainted with some assessment instruments that can be used to test some ‘typical’ hypotheses in the Child and Youth clinical practice.
The course will be…
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Regression in R
Linear regression is one of the most ubiquitous statistical methods. Most statistical techniques can be viewed as either special cases of linear regression (e.g., t-tests, ANOVA) or generalizations of linear regression (e.g., multilevel modeling, SEM, neural networks, GLM, survival analysis). In this workshop, participants will learn how to apply linear regression techniques in R. We will cover (multiple) linear regression, categorical predictor…
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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 the social and behavioural sciences. The emphasis is on applying multivariate techniques using the computer programme SPSS, and on how to interpret the SPSS output in substantive terms. During the course, we do not discuss the mathematical details of these techniques.
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Text Analysis with Python
This course introduces the basic concepts of text analysis in Python. Participants will learn how to apply text mining methods on text data and analyse them in a pipeline with machine learning and natural language processing algorithms. The course has a strong practical hands-on focus, and participants will gain experience in using text mining on real data.
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Coaching Skills for Young Leaders
Coaching skills are about helping others to live their full potential. It is a great skill in and of itself, but it is also a key ingredient for effective leadership. So, are you a student or a young professional and do you want to acquire or deepen coaching skills? Then this summer school is for you. This course will teach you the coaching skills you need as a coach or a leader. In every session you will learn and practice with powerful…
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A gentle introduction to Bayesian Estimation
This course introduces all the essential ingredients needed to start Bayesian estimation and inference. We discuss specifying priors, obtaining the posterior, prior/posterior predictive checking, sensitivity analyses, and the usefulness of a specific class of priors called shrinkage priors. We propose strategies for reproducibility and reporting standards, outlining the WAMBS-checklist (when to Worry and how to Avoid the Misuse of Bayesian…
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Bilingualism - UiL OTS
Ask someone their opinion on bilingualism and you are likely to hear statements such as: 'learning two languages from birth confuses children and impairs their cognitive development', 'Bilingual children can't speak either of their two languages properly' or 'You can only become bilingual if you start acquiring your second language as a young child.' Though common currency among the general public, each of these statements is in fact a myth. In…
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Modeling the Dynamics of Intensive Longitudinal Data
This is a five-day course on how to study dynamics in intensive longitudinal data, such as ambulatory assessments (AA), experience sampling method (ESM) data, ecological momentary assessments (EMA), real time data capture, observational data or electronic daily diaries. We provide a tour of diverse modeling approaches for such data and the philosophies behind them, as well as practical experience with these modeling techniques using different…
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Data Science: Statistical Programming with R
This course offers an elaborate introduction to statistical programming with R. Students learn to operate R, form pipelines for data analysis, make high quality graphics, fit, assess, and interpret a variety of statistical models, and do advanced statistical programming. The statistical theory in this course covers t-testing, regression models for linear, dichotomous, ordinal, and multivariate data, statistical inference, statistical learning,…
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Practical Idealism: Meaningful Leadership for a Better World
Do you have ideas for a better world and are you serious about realizing them? Do you want to be part of a community that shares this ambition no matter what? And would you like to work on this in a way that is both scientifically sound and deeply felt? Then this summer school is the place for you.
This course is meant for you if you are deeply engaged with the future of humanity and the future of our planet and want to do deep work to gain the…
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Introduction to R
This workshop introduces participants to the R statistical programming language. R is a completely free and open-source programming language and environment for statistical analysis. In this workshop, participants will learn what R is and how it differs from other statistical software packages and programming languages. They will learn the basics of data I/O, manipulation, and visualization in R. We will also cover basic statistical analyses…
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Introduction to Python (online course)
If you are looking for a powerful programming language, you should learn Python, a language with a simple syntax and a powerful set of libraries. It is easy for beginners to learn Python and it is widely used in many scientific fields for data exploration. This workshop is an introduction to the Python programming language and, in particular, is geared toward people who are new to the language and who have relatively little experience with other…
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Bayesian Hypothesis Evaluation using JASP or R
In this one-day course participants will be introduced to informative hypotheses that are alternatives for the traditional null and alternative hypotheses, and, to the Bayes factor and GORIC which are alternatives for the p-value. This course is applied, hands-on, and built around concepts and not formulas.
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Open Science Hypothesis Testing
This three-day course discusses the evaluation of theory-based hypotheses using p-values, the Bayes factor, and information criteria. Contemporary phenomena will be covered, like publication bias; questionable research practices; the replication crisis; the statistical evaluation of replication studies; and studies in which multiple data sets are used to evaluate the same research question. The course will be non-technical in nature, that is, it…
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Survey Research: Design, Implementation and Data Processing
Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey methodology, organized by the Department of Methodology and Statistics. Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, including questionnaire and mode effects), while balancing logistics and survey costs. Best practice guidelines for surveys from design…
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Introduction to L1 and L2 Acquisition - UiL OTS
This course introduces the basics of (formal) semantics and first and second language (L1/L2) acquisition as well as the interface between them.
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Introduction to Graphical Models (for Network Inference) in R: Markov random Fields and Bayesian Networks
Probabilistic graphical models (PGMs) represent the world in a simple way that humans can understand better.
They are graphical representations to understand the complex relationships between a set of random variables of interest (nodes). The edges that connect these nodes show the statistical dependencies between them.
PGMs have numerous applications in social and behavioral sciences, life sciences, economics, computer science, and many more…
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Migration, Integration and Ethnic Relations
During this course, we discuss social scientific theories and empirical research on international migration, the socio-economic and cultural integration of immigrants and their children, and reactions of the host society. Migration has made European countries ethnically and culturally more diverse. While migrants try to find their way in a new and sometimes hostile environment, host populations also have to adapt to migrants and the new cultural…
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Sustainable Futures: Politics, Democracy, and Futuring
What we do in the present is profoundly influenced by our expectations of our futures. The annual Sustainable Futures Summer School (formerly known as 'Futuring for Sustainability' is an interactive course, held from 3 - 7 July 2023. During this one-week course we teach students to appreciate different pathways to sustainability. How can we realize societal transformations towards sustainability, to living well equitably within ecological means…
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Structural Equation Modelling in Mplus
If you expect to work with the software Mplus, this course can help you to get started! This course is a compact one-day workshop introducing Mplus. We will focus on preparing data for Mplus, introducing common model syntax, avoiding common mistakes, interpreting output, and dealing with common error messages. Practice exercises demonstrate multiple regression and factor analysis models, which are the basis of structural equation models in…
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Introduction to Phonetics and Phonology - UiL OTS
In this course we will investigate sound in language from five different perspectives: alphabet (units), acoustics, articulation, prosody and learning. These complementary perspectives together show how language uses a relatively narrow range of sounds (although this range is broader than you might think!) but does so in a very intricate way. In addition, languages’ sound systems are intimately linked to other aspects of the linguistic system:…
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Data Science: Applied Text Mining
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…
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