[ 993TAME22 ] Studienfach (*)AI and Mechatronics – Embedded Intelligence and Signal Processing

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Workload Form der Prüfung Ausbildungslevel Studienfachbereich VerantwortlicheR Anbietende Uni
18 ECTS Kumulative Fachprüfung M1 - Master 1. Jahr Informatik Sepp Hochreiter Johannes Kepler Universität Linz
Quellcurriculum Masterstudium Artificial Intelligence 2022W
Ziele (*)In this elective track, students learn skills and tools to embed AI into sensors and devices in order to make machines, production lines, and even factories more intelligent. AI techniques analyzing the data from these sensors and devices can optimize maintenance, logistics, scheduling, marketing, and many other processes. An important aspect is signal processing which analyses the data coming from sensors and embedded devices that monitor the environment, such as cameras, radar, lidar, ultra sound, and chemical detectors.
Lehrinhalte (*)The contents of this subject result from the contents of its courses.
Untergeordnete Studienfächer, Module und Lehrveranstaltungen