All Courses
On this page you can find all the courses and tracks offered by the Utrecht Summer School. Check the course pages for more detailed information.
25 course(s) found
Data Stewardship
Online course
Did you ever wonder how you can improve your data management and handling? Have you ever hoped for a clean and indisputable database that you could easily share with your collaborators? Understand the art of Data Stewardship and get a handle on your data! Data could yield great value when processed intelligently for medical data science but holds great risks when processing is lost in complexity. This online Data Stewardship course will guide…
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Data Science in Clinical Practice
Online course
Careful data curation and analyses are essential in developing machine learning algorithms, that may usefully contribute to solving problems encountered in routine healthcare. Nevertheless, many valuable contributions never transition from the computer to the bedside. Often implementation is never attempted, or they fail to get the relevant CE marking (or equivalent local standard), or their implementation fails to elicit the intended health…
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Collaborative Data Science
Online course
Data science relies on working across datasets, teams, disciplines and geographies. Collaboration is crucial, as well as key frameworks. In order to be translatable to patient care, the learning health systems framework helps to conceptualize where healthcare data sits in science, care and evidence domains. Knowledge of key competencies and professions in informatics and data science will facilitate team working. Moreover, without awareness of…
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Eye Tracking Research Toolbox
Eye tracking is a powerful method to study the human mind and behavior. This course will allow you to explore key concepts in eye tracking research and help you integrate it in your study. The course is divided into two components: (1) a conceptual framework to help you make better decisions when planning and executing a study, allowing you to turn eye tracking data into valuable insights; (2) a practical introduction to the challenges and trade…
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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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Advanced longitudinal modeling in Mplus
This is a five-day course on structural equation modeling (SEM) using Mplus. In this course, SEM experts will teach you about the fundamentals of SEM and various types of longitudinal data analysis techniques, such as growth curves analysis, cross-lagged panel models, and dynamic structural equation modeling (DSEM). The course consists of in-depth lectures and computer lab meeting on the fundamentals of Mplus and on advanced longitudinal models.
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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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Biostatistics for Researchers
The course provides an introduction into statistical methodology for life sciences and discusses a number of statistical techniques for practical data analysis. Concrete examples and case studies are used to apply the theory to practical situations.
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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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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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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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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 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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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: 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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The Intersectional Posthumanities
The course will build on the tradition of neo-materialist, critical, intersectional feminist posthuman theory that Braidotti is internationally known for. The course will depart from the to understand the connections between multiply differing human and nonhuman subjects, while also working to avoid the too-often seen compartmentalization of the environmental humanities, the digital humanities, and questions of social justice and equality, the…
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3D Printing and Biofabrication
Additive manufacturing (3D printing) uses a layer-by-layer principle for manufacturing. This one-week course will provide an insight into the opportunities of additive manufacturing technologies and 3D (bio)printing in biomedical applications. It will deliver the basics of 3D printing, including hands-on workshops with 3D printers, in which the students will interact with experts demonstrating the working principles and applications of multiple…
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Global Maternal, Newborn and Child Health
This summer course provides a comprehensive overview of maternal, newborn and child health globally. With an enthusiastic team of experts from all over the world, we will discuss the major challenges which women and children in the world are facing, and we will look at potential solutions. This programme is a collaboration between the University Medical Center Utrecht (Julius Global Health, Wilhemina Children's Hospital), Amsterdam Centre for…
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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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An introduction to Qualitative Research Methods
NOTE: this course is fully booked.
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…
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Survival Analysis
A one-week course in survival analysis for the life sciences. Concrete examples and case studies are used to apply the theory to practical situations. Survival data, or more generally, time-to-event data (where the “event” can be death, disease, recovery, relapse or another outcome), is frequently encountered in the biomedical sciences. Censoring is a problem characteristic to most survival data, and requires special data analytic techniques.
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Pharmaceutical Policy Analysis
The aim of this course is to give students insight into current developments in pharmaceutical policy making as well to give a better understanding of the methods available for analysing the effects of policy interventions.
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Pharmacoepidemiology and Drug Safety
The course will provide insight in study design and analysis in pharmacoepidemiologic and drug safety research. Methodological issues are presented in the context of decision making on medicines. The course takes a multi-stakeholder perspective and applies educational approaches to facilitate interaction between these stakeholders among the participants. It is an intensive programme which covers many relevant topics concerning…
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Neural Circuit Development and Plasticity
Our summerschool is aimed at advanced master students and starting PhD students with the goal to teach them on recent advances in neural circuit development and plasticity from an interdisciplinary perspective. This will be achieved in three ways: first, lectures on basic neurobiological principles by the organisers, second, a series of lectures by renowned international speakers and third, participants work on assignments that require extensive…
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Environmental Epidemiology
This course provides participants with insights into the principles and important issues of environmental and occupational epidemiology. Research methods in environmental epidemiology will be illustrated with examples on current and emerging topics. The two-week course consists of active classes, computer exercises and group discussions. In the schedule, time is allotted for preparatory reading.
Besides an interest in environmental health…
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