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[ 055DBPIDKIK24 ] KS Data Use and Artificial Intelligence
Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS (*)W_AOM1 - (*)Weiterbildung AOM 1. Jahr Business Administration Univ.-Prof. Dr. Robert Breitenecker 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Non-Degree Master's programme Executive MBA Management & Leadership 2024W
Objectives The aim of the course is to expand students' knowledge, skills and competences in the area of data use and artificial intelligence in a business context.
Subject The students ...

... have knowledge of the latest possibilities for using data in a digital context.

... know fields of application and use cases of different approaches to big data and artificial intelligence from various industries.

... know the basic principles, characteristics and technical foundations of big data and artificial intelligence.

... reflect on the possible uses of artificial intelligence in their own company and can evaluate the potential and limits of data use for their own company.

... have the skills to collect, manage, evaluate and use data in order to create value from data for the company.

  • Big data and data mining
  • Artificial Intelligence
  • Areas of application for the use of data in digital transformation
Criteria for evaluation
Changing subject? No
Corresponding lecture (*)055DBPIDUPK23: Data Use Perspective (1,5 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to priority