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Course module: 800723-M-6
800723-M-6
Core Topics AI
Course info
Course module800723-M-6
Credits (ECTS)6
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Department Cognitive Science and AI; TSHD: Department Cognitive Science and AI;
Is part of
M Cognitive Science and Artificial Intelligence
Lecturer(s)
Lecturer
dr. M.M. Jung
Other course modules lecturer
Lecturer
prof. dr. E.O. Postma
Other course modules lecturer
Academic year2020
Starting block
SM 1
Course mode
Full-time
RemarksCaution: this information is subject to change
Registration openfrom 20/08/2020 up to and including 20/08/2021
Aims
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.
Content
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.
Course available for exchange students
Master level, conditions apply
Contact person
prof. dr. E.O. Postma
Timetable information
Core Topics AI
Written test opportunities
DescriptionTestBlockOpportunityDate
Written test opportunities (HIST)
DescriptionTestBlockOpportunityDate
Schriftelijk / WrittenEXAM_01SM 1114-12-2020
Schriftelijk / WrittenEXAM_01SM 1218-01-2021
Required materials
-
Recommended materials
Literature
Selected articles announced prior to the start of the course
Tests
Written

Final Result

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Kies de Nederlandse taal