[ 986CAINCI4S19 ] SE (*)CI4: Data-driven management
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| Es ist eine neuere Version 2022W dieser LV im Curriculum Masterstudium Leading Innovative Organizations 2022W vorhanden. |
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| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 3 ECTS |
M1 - Master 1. Jahr |
Betriebswirtschaftslehre |
Elke Schüßler |
1 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Anmeldevoraussetzungen |
(*)KS BC1: Induction-team development UND KS BC2: Foundations of management UND KS BC3: Foundational readings and academic writing
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| Quellcurriculum |
Masterstudium Leading Innovative Organizations 2019W |
| Ziele |
(*)- Students are able to set up analytic models from data
- They are able to apply software tools for data-driven decisions
- They are able to interpret the obtained results
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| Lehrinhalte |
(*)- Modeling
- optimization
- simulation
- software tools
- application to problems pertaining to operations and supply chain management and related fields.
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| Beurteilungskriterien |
(*)Homework (20%); Presentation (30%), Seminar paper (50%)
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| Lehrmethoden |
(*)Lecture, groupwork, discussion, in-class exercises
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)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
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| Lehrinhalte wechselnd? |
Nein |
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| Präsenzlehrveranstaltung |
| Teilungsziffer |
20 |
| Zuteilungsverfahren |
Direktzuteilung |
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