Inhalt
[ 986CABUMS1S19 ] SE MS1: Analytical skills
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| 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 |
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| Detailed information |
| Pre-requisites |
KS BC2: Induction: Team development UND KS BC1: Foundations of management UND KS BC3: Foundations of management science
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| Original study plan |
Master's programme Leading Innovative Organizations 2022W |
| Objectives |
- Students understand the basic techniques of using data
- They learn to approach decision problems in a structured way
- They are familiar with the basics of forecasting, modeling, and optimization
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| Subject |
Introduction to business analytics, probability, decision analysis, forecasting, linear and discrete optimization, using examples from operations and supply chain management and other areas.
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| Criteria for evaluation |
Pre-readings (10%) Homework (40%), Exam(s) (40%), Class participation (10%)
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| Methods |
Lectures, discussion, groupwork
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| Language |
English or German |
| Study material |
Bertsimas, Dimitris, and Robert Freund. Data, Models, and Decisions: The Fundamentals of Management Science. Dynamic Ideas, 2004. ISBN: 9780975914601.
Pointers to additional reading material will be provided during the course
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| Changing subject? |
No |
| Further information |
Alternativangebot in deutscher Sprache möglich
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| On-site course |
| Maximum number of participants |
20 |
| Assignment procedure |
Direct assignment |
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