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.
46 course(s) found
Modeling the Dynamics of Intensive Longitudinal Data
NOTE: this course is fully booked!
This is a four-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…
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Advanced Communication Skills: Between Persuasion and Empathy
Effective communication is key for high performing professionals. If you want to bring your communication skills to the next level and work on your personal development, then this course is here for you! Two experienced professionals teach you the most valuable skills they learned themselves over the past 15 years. This course takes you beyond the ‘basics’. You will, amongst other things, learn the highlights from principle-based negotiation,…
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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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Psychodiagnostics: Theory and Skills Training ONLINE
Online course
This summer, Utrecht University offers you a 'bridging' course in psychodiagnostics, in order to overcome deficiencies in psychodiagnostics and assessment for entering the master course Clinical Psychology. This summer course focusses on familiarizing oneself with theoretical backgrounds of psychodiagnostics, practicing skills necessary to master all stages of the diagnostic process (intake, formulating a diagnostic question, formulating…
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Developmental Psychopathology and Psychological Assessment in Childhood and Adolescence
This course provides students with theoretical knowledge on developmental psychopathology. Students acquire knowledge on most common problems in youth, age specific characteristics of psychopathology and developmental transactional explanatory models for youth psychopathology. Students will also acquire theoretical and applied knowledge on psychological assessment and diagnostic decision-making processes. Students will get acquainted with some…
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Introduction to JASP and (Bayesian) Hypotheses Evaluation - Free for employees of the Faculty Social Sciences of Utrecht University (FSS-UU)
Since 2018 the first year bachelorstudents of the Faculty of Social and Behavioral Sciences of Utrecht University learn to work with JASP and how to (Bayesianly) evaluate hypotheses using JASP. The course is tailored to lecturers and researchers who want to learn what the bachelor students of FSBS learn about JASP and (Bayesian) hypotheses evaluation (and a little bit more). This course is applied, hands-on, and build around concepts and not…
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Contemporary Conflict Analysis: Actors, Issues & Technologies of 21st Century Warfare
This course equips scholars and professionals alike with cutting-edge knowledge and transferable skills for mapping, analysing and responding to warfare in the 21st century.
Throughout the course we will address pressing questions like: How are terrorist organisations able to mobilize people towards violent action? Why do states deploy starvation and sieges as a weapon of war? Why do states outsource violence to paramilitaries and special…
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Text Analysis with Python
This course introduces the basic concepts of text analysis in Python. In this course, 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 strongly practical hands-on focus, and participants will gain experience in using text mining on real data.
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Understanding Internationalisation: Higher Education in a Changing Global Context
The changing global context is affecting higher education and urging universities to rethink internationalization. While missions and challenges may be global, views may diverge across countries, regions, and beyond traditional West-East / North-South frames. What views are actually driving the various communities internal to the university and those of our external partners and stakeholders? How are these views being shaped and what are the…
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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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Cognitive Neuropsychology: From Patients to Functional Models
As an advanced training in Cognitive Neuropsychology, the course aims to teach PhD students how to collect and interpret patient data in order to test cognitive theories and build cognitive models. The emphasis will be on 'doing research'. Candidates will get an acquaintance with standard neuropsychological testing, will be shown examples of patients cases, case statistics and will build, run and analyse their own experiment. A special training…
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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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AI-Aided Systematic Reviewing
Please note: this course is almost fully booked!
More and more researchers rely upon Systematic Reviews: attempts to synthesize the state of the art in a particular scientific field. However, the scientific output of the world doubles every nine years. In this tsunami of new knowledge, there is not enough time to read everything – resulting in costly, abandoned or error-prone work. Using the latest methods from the field of Artificial…
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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 HLM, Mplus and R 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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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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Structural Equation Modelling in Mplus
If you expect to work with the software Mplus, this course can help you to get started! This online course is a compact 1-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 structural equation models in…
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Introduction to Structural Equation Modeling using lavaan (E-Learning Course)
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 SEMs (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…
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Soft Skills for (Future) Diplomats and Peacebuilders
Are you an (aspiring) diplomat or peacebuilder? And do you have ideals for a better world? And would you like to work on your communication and personal leadership skills? Then this is the place for you! During this summer school a seasoned diplomat and an experienced peacebuilder, both with lots of training experience, will work with you on the soft skills that you need in order to contribute to making this world a safer, more peaceful and more…
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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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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 Semantics in 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. Days 1 and 2 are devoted to the introduction of a broad panorama of acquisition theories, Day 3 provides an introduction to semantics and on Days 4 and 5 we look into a number of semantic case studies in acquisition.
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Data Science: Multiple Imputation in Practice
This four-day course teaches you the basics in solving your own missing data problems appropriately. Participants will learn how to form imputation models, how to combine data sets, how to model non-response, how to use diagnostics to inspect the imputed values, how to obtain valid inference on incomplete data and how to avoid many of the pitfalls associated with real-life missing data problems.
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Advanced Survey Design
This course has been postponed until 2023. It is scheduled to take place from 28 August – 1 September 2023. It will be possible to register for the course from December 2022 onwards
This course in ‘advanced survey design’ takes students beyond the introductory courses and will discuss the state of the art in both the design and the analysis of survey data. We discuss new ways to analyse modern surveys, including non-probability survey designs,…
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Advanced Multilevel Analysis
This three-day course will teach you advanced topics in multilevel modelling. It builds upon the contents of the other summer school course “Introduction to multilevel analysis”. It consists of three days with lectures in the morning and computer labs in the afternoon. After taking this course, you should be able to analyse more complex multilevel models and to interpret and report the results.
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