Es ist eine neuere Version 2025W dieses Fachs/Moduls im Curriculum Master's programme Business Informatics 2025W vorhanden.
Workload
Mode of examination
Education level
Study areas
Responsible person
Coordinating university
6 ECTS
Course examination
M2 - Master's programme 2. year
Business Informatics
Christoph Schütz
Johannes Kepler University Linz
Detailed information
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.
Subject
see Project studies „Case Studies: Artificial Intelligence in Business“
Further information
This module may only be chosen if the major subject "Artificial Intelligence in Business" has been chosen.
