Inhalt

[ 986CAINCI4S19 ] SE CI4: Data-driven management

Versionsauswahl
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 BC2: Induction: Team development UND KS BC1: Foundations of management UND KS BC3: Foundations of management science
Original study plan Master's programme Leading Innovative Organizations 2022W
Objectives
  • 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
Subject
  • 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