| Detailed information |
| Pre-requisites |
(*)Erwartete Vorkenntnisse: Data Mining, Semantic Artificial Intelligence, Machine Learning: Supervised Techniques, Machine Learning: Unsupervised Techniques, Deep Learning and Neural Nets I, Probabilistic Models.
Hinweis: Diese Lehrveranstaltung darf nur bei Absolvierung des Studienschwerpunkts "Artificial Intelligence in Business" gewählt werden.
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| Original study plan |
Master's programme Business Informatics 2023W |
| Objectives |
The students know practical applications of symbolic and non-symbolic methods of Artificial Intelligence in different business functional areas (Marketing, Finance & Accounting, Production & Logistics, Human Resources) of Austrian and international companies.
They are able to apply the knowledge and skills acquired in the modules Data Mining, Semantic Artificial Intelligence, Machine Learning, Probabilistic Models, and Deep Learning and Neural Nets in business case studies for the development of AI-based systems.
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| Subject |
Case studies on the practical use of Artificial Intelligence (AI) methods in business functional areas;
Practical application of AI methods and AI tools in the context of an IT project corresponding to the practical situation. The concrete contents of the project (project orientation and
-type) vary.
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| Criteria for evaluation |
The course has an immanent examination character. The basis for assessment is the intensity and professionalism of participation, as well as the results achieved. The grading is based on the project results and the written project report as well as the ongoing presentations of intermediate and final results.
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| Changing subject? |
Yes |
| Further information |
This course may only be chosen if the major "Artificial Intelligence in Business" has been chosen.
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