Humanities Lab

The Joint Faculties of Humanities and Theology | Lund University



Eye tracking

The aim of the course is to provide 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.

Starting date: January 21

Register by sending an email to

Functional and structural brain imaging

This new 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 students and researchers 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. 

The course is ongoing for spring 2019 and will run again spring 2020.

For information contact: johan.martenssonmed.luse

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.

Starting date: April 2

Register by sending an email to marcus.nystromhumlab.luse  

Statistics I

Course contents

This course is intended for students and researchers who, one way or another, work with quantitative data. In the course, we pay attention to how data can be organized, summarized, and visualized. For this, we use computer software called "R", which is specifically designed for quantitative data analysis. Users of this software write computer programs (scripts) through which data can be read, visualized and analyzed. A significant proportion of the course consists of the practical exercise in learning to write such programs.


Students and researchers who work with quantitative data (e.g., experimental results, language corpus frequencies, questionnaire responses, phonetic measurements, etc.). It is not expected that participants have prior experience with writing a computer program.

Starting date: January 14 

Register by sending an email to


Contact our educational developer (pedagogisk_utvecklarehumlab.luse) if you have any questions about the courses.

Suggested Reading Order