Artificial Intelligence: Cognitive Systems

Course
LT2918
Master’s level
7.5 credits (ECTS)
Study pace
50%
Time
Day
Location
Location independent
Language
English
Duration
-

About

Some topics that we will discuss are:
•    semantic approaches to natural language, (inter)action and perception,
•    their computational modelling with data-driven (machine/deep learning) and top-down (expert) based methods,
•    grounded language models,
•    situated dialogue systems,
•    robotic systems and sensors,
•    creation of resources and datasets,
•    ethical considerations when building and using such systems,
•    generation and interpretation of scene descriptions and route instructions,
•    computational modelling of spatial cognition,
•    computational modelling of situated interaction, and others.

Requirements

Admission to the course requires general entry requirements for second-cycle education and a successful completion of a course in ? programming, 7.5 credits and ? machine learning, 7.5 credits. or courses giving equivalent skills and knowledge. English 6 or equivalent is also required.

Application

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