[ 993TAME19 ] Subject AI and Mechatronics – Embedded Intelligence and Signal Processing

Es ist eine neuere Version 2022W dieses Fachs/Moduls im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
Workload Mode of examination Education level Study areas Responsible person Coordinating university
17,75 ECTS Accumulative subject examination B2 - Bachelor's programme 2. year Computer Science Sepp Hochreiter Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2019W
Objectives 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.
Subject The contents of this subject result from the contents of its courses.
Subordinated subjects, modules and lectures