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[ 993TAME19 ] Studienfach (*)AI and Mechatronics – Embedded Intelligence and Signal Processing

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Es ist eine neuere Version 2022W dieses Fachs/Moduls im Curriculum Masterstudium Artificial Intelligence 2022W vorhanden.
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Form der Prüfung Ausbildungslevel Studienfachbereich VerantwortlicheR Anbietende Uni
17,75 ECTS Kumulative Fachprüfung B2 - Bachelor 2. Jahr Informatik Sepp Hochreiter Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Artificial Intelligence 2019W
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