Entry requirements

Admitted to studies in the Master's programme in Human-computer interaction

Learning outcomes

The student should acquire knowledge of scientific methods used in HCI as well as of their applicability. Furthermore, the student should acquire the skills necessary to judge the scientific quality of an investigation.

After a successful completion of the course module the student is expected to:

Knowledge and understanding

- be able to give an account of methodological standpoints behind a number of scientific paradigms in HIC

- demonstrate knowledge of some central scientific methods used in HCI

- be able to give an account of pros and cons associated with different methods of analysis used in HCI

Skills

- be able to formulate research questions relevant to HCI, chose suitable methods and perform simple analyses

- be able to communicate the result of analyses and small investigations both orally and in writing

Values and attitudes

- be able to handle ethical issues associated with investigations commonly performed in HCI

- demonstrate knowledge of possibilities and risks associated with research in HCI and the use of results from such research

Content

Measurements and their quality, the concept of causality, central scientific methods used in HCI

Instruction

Lectures, seminars, tutoring and self-directed learning

Assessment

The students are assed through their performance in seminars, the quality of their coursework and the results on a written exam.