ACIT4910 User Diversity and ICT Barriers Emneplan

This course covers differences in user requirements due to user heterogeneity, situational variations and the wide range of hardware, software and versions of these. Identification of disabling barriers and how these can be eliminated or reduced through universal design of ICT is a central theme in this course. Furthermore relevant guidelines, regulations and legislation will be covered.

No formal requirements over and above the admission requirements.

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 thorough knowledge of diversity among users, equipment and user situations
• has thorough knowledge of demography and age structure of society, trends and tendencies and their implications for universal design of ICT
• has thorough knowledge of sensory, motor and cognitive disabilities
• has thorough knowledge of the concept of disability and the Gap model
• has advanced knowledge of disabling barriers in ICT solutions
• has advanced knowledge about universal design and accessibility
• has thorough knowledge about accommodation, assistive technology and welfare technology
• has advanced knowledge of relevant laws, policies and standards

Skills

On successful completion of this course the student

• can analyse and deal critically with different user requirements, and apply these to structure and formulate arguments regarding accessibility, accommodation, and universal design of ICT
• can analyse contradictions within/between universal design, accessibility and accommodation in different situations

General competence

On successful completion of this course the student

• can identify disabling barriers of ICT solutions based on the Gap model
• can carry out independent study and master dedicated terminology related to user diversity, impairment, disability and universal design
• can communicate scientific problems, analysis and conclusions in ICT and user diversity, impairment, disability and universal design to both specialists in health care and the general public

This course is organized as a series of lectures and seminars where students present and discuss core concepts and topics in the literature. Guest lectures will be held on chosen topics. There will be visits to, for example, public institutions, non-governmental organizations (NGOs), and rehabilitation centres. Each student works on a project assignment on a topic from the curriculum, and will have their work peer reviewed by two fellow students.

• Individual oral presentation of journal or conference articles in class (15 to 20 minutes).
• Participation: Obligatory participation in 2 excursions is required in order for the student to pass this course. The dates for the excursions will be announced at semester start.

• Individual project report (5000-6000 words). The project examination counts 70% of the final grade.
• Individual oral examination (20 minutes for each candidate). The oral examination counts 30% of the final grade.

Both exams must be passed in order to pass the course.

The oral examination cannot be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

For the oral exam, students will not have access to computers or other aids.

For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

The course covers several aspects of model-based control and estimation methods. The focus is on industrial applications, implementation, real life problems, and hands-on experience. The course gives an overview of state-of-the-art;techniques, and;provides students with tools to;analyse;and solve further industrial and research problems. Strong emphasis is given to the use of numerical simulation and scientific programming with;Matlab/Simulink or similar.;

No formal requirements over and above the admission requirements.;

The course is equivalent to previous courses MAUU4200 and MAUUD4200.

Attempts made in equivalent courses will count towards the limit of 3 exam-attempts per course.