ACIT4080 Intelligent User Interfaces Emneplan

The course focuses on the use of artificial intelligence technology as well as image, video and sound analysis to meet the user's needs, as well as handle ambiguous interaction situations.

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 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 weekly seminars where students present selected articles covering recent research in intelligent user interfaces, and, when relevant, students provide primers on corresponding user interface issues, artificial intelligence techniques and relevant research methods. The presentation of articles are followed by in-class discussions and practical activities. 

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.

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

Grade scale A-F.

Two internal examiners. External examiner is used periodically.

Professor Frode Eika Sandnes