Syllabus for Human-Computer Interaction: Scientific Methods in Human-Computer Interaction
Människa-datorinteraktion: Vetenskapliga metoder inom människa-datorinteraktion
Syllabus
- 7.5 credits
- Course code: 2IV135
- Education cycle: Second cycle
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Main field(s) of study and in-depth level:
Human-Computer Interaction A1N
- Grading system: Fail (U), Pass (G), Pass with distinction (VG)
- Established: 2014-04-08
- Established by:
- Revised: 2018-10-25
- Revised by: The Department Board
- Applies from: Autumn 2019
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Entry requirements:
A Bachelor's degree equivalent to a Swedish degree of at least 180 credits (i.e. three years of full-time studies) containing IT-related course modules comprising the equivalent of at least 30 credits total. Proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.
- Responsible department: Department of Informatics and Media
Decisions and guidelines
The course is given on the Master's programme in human computer interaction as well as an elective course. The language of instruction is English.
Learning outcomes
The aim is that the student should acquire knowledge of scientific methods in human computer interaction and their applicability. The aim is further to be able to assess the quality of a study. On completion of the course, the student is expected:
Knowledge and understanding
- be able to account for the philosophic and methodological positions that lie behind a number of scientific paradigms in human computer interaction
- understand central scientific methods in human computer interaction
- be able to present advantages and disadvantages with different analytical methods in human computer interaction
Competence and skills
- be able to formulate research questions in human computer interaction, choose appropriate methods and make simple analyses
- be able to orally and in writing present the results of analyses or smaller studies
Judgement and approach
- be able to handle ethical problems associated with different kinds of human-computer interaction analyses
- be familiar with possibilities and risks related to human-computer interaction research and its use
- be able to critically review and evaluate simple scientific articles in the subject
Content
Science-philosophical approaches applied to human-computer interaction, HCI. Ontology and Epistemology. Central scientific methods in human-computer interaction.
Instruction
The teaching consists of lectures, seminars as well as supervision.
Assessment
The students are assessed through their performance in seminars, the quality of their coursework and the results on a written exam.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator or a decision by the department's working group for study matters.
Reading list
Reading list
Applies from: Autumn 2020
Some titles may be available electronically through the University library.
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Okasha, Samir
Philosophy of science : a very short introduction
2. ed.: Oxford: Oxford University Press, 2016
Mandatory
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Lazar, Jonathan;
Feng, Jinjuan Heidi;
Hochheiser, Harry
Research methods in human-computer interaction
Second edition: Amsterdam: Morgan Kaufmann, [2017]
Articles are added.
Reading list revisions
- Latest reading list (applies from Autumn 2020)
- Previous reading list (applies from Autumn 2019)