ACIT4080 Intelligent User Interfaces Emneplan

No formal requirements over and above the admission requirements.

Students should have completed introductory courses at least at bachelor level in both human computer interaction/interaction design and artificial intelligence/intelligent systems.

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 specialized knowledge of intelligent systems and their role in intelligent user interfaces
• has specialized knowledge of ontologies and the semantic gap
• has specialized knowledge of the applications of smart home technology

Skills

On successful completion of this course the student

• can apply classification and categorization to organize data, particularly with k-means, neural networks, fuzzy logic and neuro-fuzzy classification
• can apply optimization techniques to find good solutions to problems using hill climbing, Tabu search and genetic algorithms
• can apply intelligent techniques, such as association rules to implement recommender systems
• can apply techniques from sound analysis, image analysis and video analysis to realize multi-modal input

General competence

On successful completion of this course the student

• can analyse ethical aspects of automatic collection, storage, automatic interpretation and use of person-related measurements
• can analyse opportunities and limitations associated with intelligent systems for given problems

This course is organized as a series of lectures, seminars discussing examples from research literature, and practical work. Lectures cover central theories in artificial intelligence, sound, image and video analysis followed by practical problem solving. Students present research papers in class, using theory to solve new and real problems and developing working prototypes.

• Six obligatory assignments. Students work on each assignment individually.
• Individual oral presentation of research article (45 minutes with questions).

The following required coursework must be approved before the student can take the exam:

Two individual oral presentations of a research article (45 minutes with questions). One presentation is on an assigned article and the second article is selected by the student.

Participation: There is a minimum 80% mandatory attendance in this course. Students who do not meet this requirement will not be allowed to sit the exam.

Students will work in groups (typically 2-3 students, max 5) on a project. The exam submission will be an individual written project report, 3000-4000 words documenting the project work. Students can work on a project individually at the discretion of the Course Coordinator.

The exam can 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 registering 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.

All 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.

Two internal examiners will assess the report and oral presentation. External examiner is used periodically.

Professor Frode Eika Sandnes