Courses offered in the Lab are listed below. They are designed for PhD students and researchers. Most courses can be attended independently from each other; however, there is a preferable reading order that is suggested on the right. Descriptions below follow the suggested order.
The course description will be available soon.
Programming for the Behavioral Sciences
The course introduces programming tools that are used for collection and processing of behavioural data. The course includes components on writing programs for data collection, visualising, importing and exporting, and data analysis. No previous knowledge is required to participate.
For information and application, contact Marcus Nystrom (link to email)
Starting date: spring 2020.
ERP Research - Theory and Practice
The course is currently not available.
The course provides students with specialised knowledge of methods in research based on eye tracking. The course focuses on equipping students with the practical skills to perform research based on eye tracking, and on collaboratively designing a good eye tracking study from idea to analysis. A number of application areas are included in the course.
For info and application, contact Diederick C Niehorster (link to email)
Starting date: mid-October.
This course is intended for students and researchers who work with quantitative data. In the course, we pay attention to how data can be organized, summarized, and visualized. For this, we use a computer software called "R", which is specifically designed for quantitative data analysis. Users of this software write computer programs (scripts) to analyze their results. A significant part of the course consists of the practical exercises to learn how to write such programs. No previous knowledge is required to participate.
For information and application, contact Joost van de Weijer (link to email)
Starting date: September 4th
This course is a continuation on the introductory course (Statistics I). We continue with topics such as the analysis of binary outcome variables, the analysis of hierarchically organized data sets, the analysis of count variables. We also continue exercise in using R. In order to participate in this course, students must have either taken the introductory course, or a course that is roughly equivalent to it.
Functional and structural brain imaging
This course is co-organized by the Humanities Lab & Lund University Bioimaging Centre (LBIC). It introduces structural and functional brain imaging with magnetic resonance imaging (MRI) to users with a non-medical or MR-physics background. The aim of the course is to provide participants with the tools to make use of and learn how to evaluate results from MRI. The course introduces and discusses fMRI (functional MRI), dMRI (diffusion MRI) and sMRI (structural MRI) from a theoretical and practical perspective, and also discusses how these modalities can be integrated. The main bulk of the course is made up of an individual assignment where each participant works their way through an MRI dataset or creates an fMRI task of their own. The introduction will feature lectures with staff from LBIC and the Lab. No previous knowledge is required to participate.
For info and application, contact Johan Mårtensson (link to email)
Starting date: spring 2020.