[ 921CGELEASK22 ] KV (*)Engineering of AI-intensive Systems
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| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 3 ECTS |
M1 - Master 1. Jahr |
Informatik |
Alexander Egyed |
2 SSt |
Johannes Kepler Universität Linz |
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| 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
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| 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.
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| Beurteilungskriterien |
(*)Exam and team project; active participation throughout the semester
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| 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)
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Direktzuteilung |
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