ACIT4930 Interaction Styles and Technologies for Accessibility Emneplan

The course consists of lectures (theory), labs (practical exercises and computer simulations/experiments), group discussions, Q&As, as well as group projects. The group projects will be assigned from a list of the suggested topics/areas. The students will work in groups and finally submit the project report as well as the code.

Practical exercises: Lab and Q&A sessions.

The following two group assignments must be approved before the student can take the final exam:

• 1 - Group report and presentation: Group written report and oral presentation on the assigned topic.
• 2 - Group project proposal: A group project proposal (1000 - 1200 words) on the assigned topic, containing project description, the available dataset(s), method/algorithm to be employed, and references (including several most recent journal publications).

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student has:

• advanced knowledge of multimodal user interfaces
• advanced knowledge of input and output technologies

Skills

On successful completion of this course the student can:

• analyse problems and issues in interactions related to context, such as accessibility in public spaces, mobility problems, and the user's affective state
• use knowledge of interaction technology to address new problems in universal design of ICT
• independently use appropriate methods of user centred interaction design and evaluation; both heuristic and automatic, in an independent manner
• analyse and critically deal with the results from relevant research literature, apply these to structure and formulate scientific arguments, and assess the suitability of published results on new problems and issues
• carry out independent, limited research or development projects under supervision and in accordance with applicable ethical standards
• present scientific work orally
• debate and conduct scientific discussions

General competence

On successful completion of this course the student can:

• apply knowledge and skills in interaction technology on new problems and issues for carrying out advanced facilitation tasks and projects
• communicate scientific problems, analysis and conclusions in the field to both specialists and the general public
• contribute to original thinking and innovation processes

Grade scale: A-F.

Two examiners. External examiner is used periodically.

Professor Jianhua Zhang

It is recommended that students have some background knowledge in:

1) mathematics: calculus, linear algebra, statistics and probability theory, and numeric optimization

2) programming language in Python, Matlab or R

3) machine learning and/or data mining.

Grade Scale A-F.

Two internal examiners. External examiner is used periodically.