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State-of-the-Art in AI Research 7,5 Credits

Course Contents

The course goes into depth in terms of selected topics and methods within AI, machine learning and their applications. Examples may include areas, such as computational intelligence algorithms in search, optimization and classification, natural language processing and FAT (fairness, accountability, transparency) aspects. Examples of relevant applications could include robotics, music, health and medicine.

Prerequisites

Passed courses at least 90 credits within the major subject Informatics, and completed course Embedded and Distributed AI, 7,5 credits or equivalent. Proof of English proficiency is required.

Level of Education: Master
Course code/Ladok code: TSAS20
The course is conducted at: School of EngineeringLast modified 2020-06-02 07:46:15

Content updated 2020-08-25