Human-Centered Artificial Intelligence course
Human-Centered Artificial Intelligence course
Human-Centered Artificial Intelligence, 7.5 credits
Swedish name:
Människocentrerad artificiell intelligens
Course code:
5DV244
Credit points:
7.5
Education level:
First cycle
Main Field of Study and progress level:
Computing Science: First cycle, has less than 60 credits
in first-cycle course/s as entry requirements
Cognitive Science: First cycle, has less than 60 credits in first-cycle course/s as entry requirements
Cognitive Science: First cycle, has less than 60 credits in first-cycle course/s as entry requirements
Grading scale:
Pass with distinction, Pass, Fail
Responsible department:
Department of Computing Science
The course offers a broad introduction to Artificial Intelligence (AI) and its historical development from a Computing Science and technical perspective. The course focuses on the interaction between human and AI technology. It is aimed at students who want to understand how AI technologies actually work and what their fundamental limitations are.
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This is a step-by-step how to use the ALTAI tool for self-assessment from AI4Belgium (https://altai.ai4belgium.be/). This guide is specific to be used in connection…
Guide for using the ALTAI tool for selfassessment
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In this lecture, the topic of artificial intelligence as a field is covered.
Lecture . Introduction to Artificial Intelligence
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In this lecture, the topic of intelligent software agents is covered
Lecture Intelligent software agents
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In this lecture the topics of ontologies and knowledge graphs are covered.
Lecture ontologies and knowledge graphs
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In this lecture, the topic of automated reasoning and planning are covered.
Lecture automated reasoning and planning
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In this seminar the topics of automated reasoning and reasoning under uncertainty are covered. This is the initial lecture for the presentation of the seminars of the…
Seminars: automated reasoning and reasoning under…
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In this lecture, the formal foundations of Supervised and unsupervised machine learning are covered
Lecture Supervised and unsupervised machine…
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In this lecture, the foundational topics of Neural Networks are covered.
Human-Centered AI - Lecture - Neural Networks
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