Courses offered during the autumn term 2017
The aim of the course is to provide students with specialised knowledge of methods in research based on eye tracking. A number of application areas are included in the course. The focus is placed on the practical aspects of research based on eye tracking and on how to write an application for research funding.
Course convener: Diedrick Niehorster (diederick_c.niehorsterhumlab.luse)
The course primarily focuses on descriptive and exploratory statistical methods. The topics include measures of trends and distribution, different types of data visualisation, treatment of extreme values, data allocation and data transformation.
Course convener: Joost van de Weijer (Joost.van_de_Weijerling.luse)
Other courses offered in the Humanities Lab
ERP Research Methods – Theory and Practice
The aim of the course is to provide participants with a theoretical introduction to ERP methodology (event-related potential) and practical experience of working with the EEG systems for recording and analysis. The course consists of theory lectures and seminars as well as a number of laboratory exercises. The lectures provide an overview of some of the major research areas in which ERP methodology is used and the seminars consist of discussions of published research in which the methodology has been used. During the laboratory exercises, students take part in a demonstration of an EEG recording and a minor analysis and get the opportunity to practise recording and analysing on their own. This course is generally offered during the autumn term.
The course provides information on how to plan, design and carry out experiments with PsychoPy (a free piece of software for experimental design), process the results for statistical analysis and gradually interpret the results. A number of experimental paradigms are introduced and can be adapted to specific research requirements. This course is generally offered during the spring term.
Motion Capture Research Methods
The course provides students with a general introduction to 3D data, practical experience of working with motion capture systems to record and analyse mobile 3D data, and transfer and process mobile 3D data in other applications. The course also provides an introduction to the technology behind motion capture and discusses different work flows that can be used for different research issues. This course is generally offered during the spring term.
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. This course is generally offered during the spring term.
The course primarily focuses on statistical inference, i.e. hypothesis testing, analysis and reporting of results. The students are expected to bring their own experimental results to the course. The course will address different types of analysis depending on the data provided by the students.