Programme Outlines and Overviews

Quantitative Methods for HCI 7.5 credits

Course content

This course is an introductory course in quantitative methods available to master students. The goal of the course is to provide the master students with basic understanding of the role and potential of quantitative research methods, basic ability to understand and evaluate the merits and shortcomings of other researchers’ (quantitative) studies, basic ability to apply certain quantitative techniques in their own research. The course includes the following elements: - Descriptive statistics + graphical analysis - Sampling and survey design - Factor analysis - Regression analysis - Approaches how to work with incomplete data

Entry requirements

The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in Informatics, Computer Engineering, Computer Science, or equivalent. Proof of English proficiency is required.

Level: Second cycle

Course/Ladok-code: TKHR23

School: School of Engineering