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