The general aim of this course is for students to become familiar with one or more actual advanced topics in artificial intelligence. After taking this course, the students will be able to:|
- Describe technologies used to collect and analyze data pertaining to human behavior in social settings;
- Describe and critically assess different theories of modeling the emergence and development of communities/networks;
- Analyze data collected by sensors and other devices that provides information relevant in the context of human-human and human-computer interaction;
- Use this acquired knowledge to design and conduct an experimental study on a relevant topic;
- Report their findings in a written research paper placing them in existing theoretical context.
In the course, students further develop their understanding of artificial intelligence by focusing on most recent advances in the field pertaining to human-human and human-machine interaction and teaming. They gain knowledge of the topics by making use of scientific papers and literature and by using techniques, tools and software to conduct research on these topics.|
Students need to have a bachelor level knowledge of artificial intelligence, including the mathematical basis that underlies AI, and is familiar with algorithms and able to program in different programming languages.