[ 921CGELEASK22 ] KV Engineering of AI-intensive Systems
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| Es ist eine neuere Version 2025W dieser LV im Curriculum Master's programme Artificial Intelligence 2025W vorhanden. |
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 3 ECTS |
M1 - Master's programme 1. year |
Computer Science |
Alexander Egyed |
2 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Master's programme Computer Science 2021W |
| Objectives |
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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| Subject |
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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| Criteria for evaluation |
Exam and team project; active participation throughout the semester
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| Language |
English |
| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
INMAWKVESIS: KV Engineering of Software-intensive Systems (2007W-2022S)
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| On-site course |
| Maximum number of participants |
- |
| Assignment procedure |
Direct assignment |
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