[ 515MOTSTLOS20 ] SE Software Tools for Decision Support in Transportation Logistics
|
|
|
|
(*) Unfortunately this information is not available in english. |
 |
Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
3 ECTS |
B2 - Bachelor's programme 2. year |
Business Administration |
Sophie Parragh |
2 hpw |
Johannes Kepler University Linz |
|
|
 |
Detailed information |
Original study plan |
Bachelor's programme (*)Betriebswirtschaftslehre 2020W |
Objectives |
Students are familiar with optimization (software) tools for decision support/prescriptive analytics in transportation logistics and they are able to apply them to case study problems on their own.
|
Subject |
In the first part of the course, software tools for solving optimization problems arising in the field of transportation logistics are introduced. In the second part of the course, they are applied to a case study problem in the form of a group project.
|
Criteria for evaluation |
Exercises, project work
|
Methods |
Group work, lecture, discussion
|
Language |
English and French |
Study material |
Will be announced during the course.
|
Changing subject? |
No |
|
|
 |
On-site course |
Maximum number of participants |
25 |
Assignment procedure |
Assignment according to priority |
|