Inhalt

[ 921CPEC13 ] Studienfach Pervasive Computing (CS)

Versionsauswahl
Es ist eine neuere Version 2021W dieses Fachs/Moduls im Curriculum Masterstudium Wirtschaftsinformatik 2023W vorhanden.
Workload Form der Prüfung Ausbildungslevel Studienfachbereich VerantwortlicheR Anbietende Uni
0-27 ECTS Gliederung M - Master Informatik Alois Ferscha Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Computer Science 2017W
Ziele The design of miniaturized systems, which are invisibly integrated in their environment and are connected in a spontaneous and wireless way require special computer science methods. The specialization in Pervasive Computing therefore deals with a combination of technologies (e.g., sensors, actuators, wireless communication, miniaturized memories and processors), paradigms (e.g., context-aware and adaptive systems, autonomous and self-organizing systems, organic and bio-inspired systems) and methods (e.g., for inter-action, coordination, computational perception, reasoning and learning, artificial intelligence, virtual reality, semantic interoperability, system reliability, security, and user friendliness). The educational goals are decision and evaluation skills as well as skills for designing and developing pervasive computing systems such as "information appliances", "wearable systems", or "ambient intelligence systems".
Lehrinhalte The contents of this subject result from the contents of its courses.
Untergeordnete Studienfächer, Module und Lehrveranstaltungen