[ 986CAINCI4S19 ] SE CI4: Data-driven management

Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Leading Innovative Organizations 2022W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Administration Sophie Parragh 1 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites KS BC1: Induction-team development UND KS BC2: Foundations of management UND KS BC3: Foundational readings and academic writing
Original study plan Master's programme Leading Innovative Organizations 2021W
  • Students are able to set up models from data
  • They are able to apply software tools for data-driven decisions
  • They are able to interpret the obtained results
  • Modeling
  • optimization
  • software tools
  • application to problems pertaining to operations and supply chain management and related fields.
Criteria for evaluation Homework (20%); Presentation (30%), Seminar paper (50%)
Methods Lecture, groupwork, discussion, in-class exercises
Language English or German
Study material Dimitris Bertsimas, Allison O’Hair and William Pulleyblank, The Analytics Edge, Dynamic Ideas LLC, 2016 Hillier, Lieberman. Introduction to Operations Research. In the current edition. Pointers to additional reading material will be provided during the course
Changing subject? No
Further information Alternativangebot in deutscher Sprache möglich
On-site course
Maximum number of participants 20
Assignment procedure Direct assignment