Online Courses
This summer these courses will be offered online! You can participate from home and still connect with other students from all over the world. Find a course suitable for you below.
In case we cannot offer courses on location, more online courses will be added here.
22 course(s) found
Introduction to Structural Equation Modeling using Mplus
Note: This course is fully booked. We only accept new applicants from the Dutch Government.
We offer a 5-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,…
Data Science: Statistical Programming with R
NOTE: this course is fully booked! New applicants will be placed on a waiting list.
R is rapidly becoming the standard platform for data analysis. This course offers an elaborate introduction into statistical programming in 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…
Introduction to Multilevel Analysis
NOTE: this course is fully booked!
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 and Mplus programs, 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.…
Advanced Multilevel Analysis
This three day course will teach you advanced topics in multilevel modelling. The three-day course 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.
Advanced Course on using Mplus
This is a five-day course on structural equation modeling (SEM) using Mplus. If you already know how to analyse your data in Mplus but want to learn more about what you are actually doing, and especially if you want to know more about advanced longitudinal analyses, this course is for you. The course consists of in-depth lectures on the fundamentals of Mplus and advanced longitudinal models.
Data Science: Introduction to Text Mining with R
NOTE: this course is almost fully booked!
Government employees with a LOC code can still apply for this course.
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…
Data Science: Multiple Imputation in Practice
This 4-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.
Contemporary Conflict Analysis: Actors, Issues & Technologies of 21st Century Warfare
Owing to the ever-changing nature of warfare, the field of conflict studies requires an informed approach towards answering the question of why various actors resort to violent conflict. This online summer school, closely linked with Uglobe's Intimacies of Remote Warfare programme and the Centre for Conflict Studies (CCS) of Utrecht University, equips scholars and professional practitioners alike with cutting-edge knowledge and transferable…
Data Science: Data Analysis
The course Data science: Data Analysis 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.
Exploring Culture through Data: Digital methods & Data practices
Are you curious, eager to learn and would you like to have an enriching experience during your summer holidays? This course would make a great opportunity! The accelerating datafication of society constitutes challenges and opportunities for humanities research. We welcome you, students and non-students, to join us in this online crash course in data practices and digital methods.
This course will acquaint you with (methodological) fundamentals…
Data Science: Applied Text Mining
This course is closed
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,…
Project Management: From Theory to Practice
Today’s environment requires organisations to continuously change policies, processes or practices - changes often organised as projects: unique, temporary efforts, performed by multi-disciplinary teams. Projects need dynamic project managers that structure complex tasks, keep an overview and have great social skills. This course prepares you for all this by combining theoretical background with a practical approach to project management. You…
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…
Internationalisation Challenged – Rethinking Global Higher Education
Please note that this course is closed for new application. But, please contact the course director by email for special requests / late applications (see contact information below).
The changing world order is affecting higher education. Universities are urged to think about the nature of their international partnerships and the academic values they stand to defend. And most importantly about how they prepare their students for this 21st…
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, organised by the Department of Methodology and Statistics in collaboration with Statistics Netherlands (CBS). 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…
Agile Projects as Dynamic Capability
A central element in the dynamic capabilities of an organization is its ability to successfully transform existing assets and resources into new capabilities. Projects are key instruments to this rapid organisational change. However, the traditional ‘plan & control’ approach to project management does not fit the dynamic and flexible approach that successful organisational change requires. The solution to this problem can be found in ‘Agile…
Applied Multivariate Analysis
Note: this course is almost fully booked and therefore we only accept applications from UU students who need to take this course to be accepted for an UU-FSBS master. Other applicants will be placed on a waiting list.
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…
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 programs with Python. It starts at the very basics and is explicitly intended for students who have no or only little programming experience.
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 both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of…
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…
A Gentle Introduction to Bayesian Statistics
NOTE: this course is fully booked! New applicants will be placed on the waiting list.
This course describes the stages involved in Bayesian analysis: specifying the prior and data models, deriving inference, model checking and refinement. We discuss prior and posterior predictive checking, and selecting a technique for sampling from a probability distribution. Other topics discussed are: approximate measurement invariance (a Bayesian method to…
Advanced Survey Design
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 text data and sensor data generated by modern surveys. Course participants must be proficient working with statistical software (Stata, SPSS or R). Course materials have been developed in R, but most exercises on days 1-3 is in SPSS or STATA…