[ 986CAINCI4K19 ] KS (*)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 |
Sophie Parragh |
2 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 2021W |
| Ziele |
(*)- Students are able to set up models from data to provide decision support
- They understand the basic data mining techniques
- They know how to interpret the obtained results
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| Lehrinhalte |
(*)- Data analytic thinking
- Data understanding und visualization
- Predictive modeling (classification)
- Model evaluation
- Software tools
- Applications
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| Beurteilungskriterien |
(*)Attendance and participation (20%); Pre-readings (20%); Post-module assignment (60%)
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| Lehrmethoden |
(*)Lecture, discussion
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)Provost, F., and Fawcett, T. (2013). Data Science for Business: What you need to know about data mining and data-analytic thinking. " O'Reilly Media, Inc."
Dimitris Bertsimas, Allison O’Hair and William Pulleyblank, The Analytics Edge by, 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 |
40 |
| Zuteilungsverfahren |
Direktzuteilung |
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