Syllabus
Registration via LPIS
| Day | Date | Time | Room |
|---|---|---|---|
| Wednesday | 03/02/22 | 09:00 AM - 11:30 AM | TC.3.08 |
| Wednesday | 03/09/22 | 09:00 AM - 11:30 AM | TC.5.14 |
| Wednesday | 03/16/22 | 09:00 AM - 11:30 AM | TC.5.14 |
| Wednesday | 03/23/22 | 09:00 AM - 11:30 AM | TC.5.14 |
| Wednesday | 03/30/22 | 09:00 AM - 11:30 AM | TC.5.14 |
| Tuesday | 04/05/22 | 01:00 PM - 03:30 PM | Online-Einheit |
| Monday | 05/09/22 | 01:00 PM - 03:30 PM | TC.3.11 |
| Tuesday | 05/10/22 | 09:00 AM - 11:30 AM | EA.5.034 |
| Friday | 05/13/22 | 09:00 AM - 11:30 AM | TC.4.03 |
The course investigates different aspects of logistics considering sustainable and environmental issues. We will focus on quantitative models and methods in order to build a more efficient and “greener” system ranging from strategic considerations, such as network planning, to operational decisions, such as routing.
After this course the students will be able
- To analyse and apply quantitative methods to various problems arising in sustainable logistics
- To elaborate and discuss practical examples in groups
- To critically evaluate scientific papers
“This semester, the course will take place in hybrid mode. For you, this means that the lessons are held in the lecture hall and parallel online (via MS Teams or ZOOM). Please note that your attendance at this course must be at least 80%.
The units should preferably be attended presence. Please only participate online in exceptional cases and / or if there are reasons for the current COVID situation.”
Lecture with active participation including in class examples and case studies, assignments and presentations
- Mid-term test 35%
- Assignments and presentations 30%
- Final exam 35%
In order to successfully complete the course one has to have at least 50% of overall points. Group works will be peer-reviewed and can be individually graded.
Grades are distributed as follows:
- Excellent (1): 87.5 - 100
- Good (2): 75 - <87.5
- Satisfactory (3): 62.5 - <75
- Sufficient (4): 50 - <62.5
- Fail (5): <50
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