Inhalt

[ 162UNTRITTK23 ] KV (*)Information technology for transformation

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(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS B1 - Bachelor 1. Jahr Transformation Studies - Art x Science Jan Schlüter 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium Transformation Studies. Art x Science 2024W
Ziele (*)Discussing a series of historical examples of transformation processes, students will understand (a) what are the basic capabilities of computer systems, (b) what are the strengths and limitations of addressing a task with classic algorithms, and (c) what are the strengths, limitations and risks of using machine learning and AI instead. Students can differentiate classic and AI approaches and judge the relevance of either for specific future transformation processes.
Lehrinhalte (*)Basics of Von Neumann architecture, imperative programming, databases, networking; basics of regression, classification, neural networks, deep learning
Beurteilungskriterien (*)Combined assessment of homework and a final exam
Lehrmethoden (*)Slide presentations and live discussions
Abhaltungssprache Englisch
Literatur (*)Electronic course material provided for download
Lehrinhalte wechselnd? Nein
Präsenzlehrveranstaltung
Teilungsziffer 100
Zuteilungsverfahren Zuteilung nach Vorrangzahl