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.
6 course(s) found
Cognitive Neuropsychology: From Patients to Functional Models
Online course
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…
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…
AI-Aided Systematic Reviewing
Online course
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 Intelligence (AI), you can reduce the number of papers to…
Introduction to R
This workshop will introduce students to the R statistical programming language. R is a completely free and open-source programming language and environment for statistical analysis. In this course, students 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 visualisation in R. We will also cover basic statistical analyses such as t…
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 generalisations of linear regression (e.g., multilevel modelling, SEM, neural networks, GLM, survival analysis). In this course, students will learn how to apply linear regression techniques in R. We will cover (multiple) linear regression, categorical predictor…
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 basic missing data theory, methods for exploring/quantifying the extent…