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.
38 course(s) found
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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Data Science: Programming with Python
Python has become the dominant programming language used in data science. This course offers an introduction to computational thinking about data-related problems and the implementation of data analysis programmes with Python. It starts at the very basics and is explicitly intended for students who have no or only little programming experience.
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Introduction to Generative Syntax - UiL OTS
In this course, students will be introduced to the basics of generative linguistics, the theoretical framework evolved from and based on Noam Chomsky’s work. The formal tools of generative linguistics enable linguists to explore the complex and fascinating system underlying sentence structure and sentence meaning. The theory accounts for the creativity of human language and other characteristics that make it unlike the communication system of…
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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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Introduction to Structural Equation Modeling using Mplus
We offer a five-day course on how to perform basic SEM analyses using Mplus. The main objective of this course is to learn how to analyse several models with Mplus (e.g., path models, multiple group models, mediation and moderation, confirmatory factor analysis, and longitudinal models). No previous knowledge of Mplus is assumed, but prior knowledge of SEM, although not mandatory, will make this course more useful.
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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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Introduction to Multilevel Analysis
This course will teach you the theoretical basics of multilevel modelling and some important methodological and statistical issues. You will also learn how to analyse multilevel data sets with the R and R Studio programmes, to interpret the output and to report the results. The benefits of multilevel analysis are discussed both in theory as with empirical examples. This course restricts to a quantitative (i.e. continuous) outcome variable.…
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Research design for Experimental Linguists - Uil OTS
This course is essential for experimental linguists. In this course you will learn about important aspects of a quantitative study design (research methodology), the basics of statistical (hypothesis) testing, and how methodology and statistics relate to each other. This discussion-based course will teach you to make funded decisions throughout the research process, and consequently conduct better research with valid and reliable outcomes.
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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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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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Missing Data in R
Missing data are ubiquitous in nearly every data analytic enterprise. Simple ad-hoc techniques for dealing with missing values such as deleting incomplete cases or replacing missing values with the item mean can cause a host of (hidden) problems. In this workshop, we will discuss principled methods for treating missing data and how to apply these methods in R. We will cover some basic missing data theory, methods for exploring/quantifying the…
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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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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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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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Survey Research: Statistical Analysis and Estimation
The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using R statistical software. Knowledge of R is beneficial but not required if you have worked with SPSS, Stata, SAS or other statistical software already. Topics include coverage errors, complex sampling, nonresponse…
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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: 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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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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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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Advanced Survey Design
This course in ‘advanced survey design’ takes students beyond the introductory courses and discusses the state of the art in both the design and the analysis of modern survey data, with a focus on new types of data. We present new ways to analyse modern surveys, including non-probability survey designs, smartphone data collection, digital trace data and data collected via apps. Course participants must be proficient working with the statistical…
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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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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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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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Data Science: Introduction to Text Mining with R
Applications of text mining are everywhere: social media, web search, advertising, emails, customer service, healthcare, marketing, etc. In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with statistical learning algorithms. The course has a strongly practical hands-on focus, and students will gain experience in using and interpreting text mining on data examples from humanities,…
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