Inhalt

[ 921CGELEASK22 ] KV (*)Engineering of AI-intensive Systems

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS M1 - Master 1. Jahr Informatik Alexander Egyed 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Computer Science 2021W
Ziele (*)The "Engineering of AI-intensive Systems" course combines AI and software engineering. The goal of this course is to understand the challenges, technologies, and best practices for the design and construction of AI-based systems.

Students

  • understand how the engineering of AI-intensive systems differs from the engineering of a "pure" software system
  • understand the principles of life cycle of AI systems, their top-down and bottom-up engineering, and the integration of different components
  • gain practical experiences by working on a challenge problem in a (small) team
  • gain familiarity with AI techniques associated with software systems such as how to implement ML classifiers for software systems and how to improve their efficiency
Lehrinhalte (*)The Engineering of AI-intensive systems course covers the engineering of AI-intensive systems including the engineering life cycle activities (requirements, analysis+design). It also covers a practical example to be worked on as a team.
Beurteilungskriterien (*)Exam and team project; active participation throughout the semester
Abhaltungssprache Englisch
Lehrinhalte wechselnd? Nein
Frühere Varianten Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
INMAWKVESIS: KV Engineering of Software-intensive Systems (2007W-2022S)
Präsenzlehrveranstaltung
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung