[ 986CAINCI4K19 ] KS 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 |
Elke Schüßler |
2 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 2019W |
| Objectives |
- Students are able to set up models from data to provide decision support
- They understand the concepts and algorithms used to solve these models
- They know how to interpret the obtained results
|
| Subject |
- Optimization
- mixed integer programming
- heuristics and metaheuristics
- simulation
- applications
|
| Criteria for evaluation |
Attendance and participation (20%); Pre-readings (20%); Post-module assignment (60%)
|
| Methods |
Lecture, discussion
|
| Language |
English |
| Study material |
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.
|
| Changing subject? |
No |
|
|
|
| On-site course |
| Maximum number of participants |
40 |
| Assignment procedure |
Direct assignment |
|
