6 ECTS credits
152 h study time
Offer 1 with catalog number 4021209FNR for all students in the 2nd semester at a (F) Master - specialised level.
In the course Decision Support for Sustainability, students will learn tools, models and supportive methodologies that enable to elicitate new ideas, evaluate options and ensure the monitoring of sustainable scenarios.
Typical methods we see in this course are:
The course is designed as a ‘flipped classroom’. The theory is provided through knowledge clips and/or other material on Canvas and covers the context and the methods. Students are expected to watch the clips before the on-campus workshops, where the theory is put into practice through exercises, group work, debate, etc.
The student understands the basic principles of sustainability and recognizes the possibilities of deploying quantitative and qualitative research methods that enable decision support for relevant stakeholders in order to improve sustainability. They get a toolbox to be used and learn which method is best suitable for which sustainable challenges. They also learn the limitations and pitfalls of each method.
The student is able to identify the appropriateness of using a particular decision support methodology on real world problems, The student can apply the method to the problem and knows the strenghts and weaknesses of each method.
The student is able to contribute in a team with other students to solve problems during class exercises and is also able to work together in groups from two to four students during the task preparation.
The student is able to individually present the outcomes of a critical analysis
The final grade is composed based on the following categories:
Written Exam determines 100% of the final mark.
Within the Written Exam category, the following assignments need to be completed:
Both assessment forms (that is, the written exam and assignment) are required to pass this course and you should have at least a10/20 on both assesment forms to pass the course. For the second session, students have to redo the part(s) that they did not pass in the first session.
AI Usage Policy for the written assignment:
In this course, students are permitted to use artificial intelligence (AI) tools for spelling and grammar correction to enhance the clarity and coherence of their writing. Additionally, AI can be used for other tasks, but it should always be mentioned in a very transparant way, how it has been used. Students must ensure that all submitted work reflects their own thoughts and reflection, maintaining academic integrity and the authenticity of their individual contributions.
This offer is part of the following study plans:
Master of Educational Sciences: Standaard traject (only offered in Dutch)
Master of Business Engineering: Standaard traject (only offered in Dutch)
Master of Business Economics: Standaard traject (only offered in Dutch)
Master of Urban Studies: Standard track
Master of Biology: Ecology and Biodiversity
Master of Biomedical Engineering: Profile Radiation Physics
Master of Biomedical Engineering: Profile Biomechanics and Biomaterials
Master of Biomedical Engineering: Profile Sensors and Medical Devices
Master of Biomedical Engineering: Profile Neuro-Engineering
Master of Biomedical Engineering: Standaard traject
Master of Biomedical Engineering: Profile Artificial intelligence and Digital Health
Master of Educational Sciences: Standaard traject
Master of Teaching in Economics: standaard traject (90 ECTS, Etterbeek) (only offered in Dutch)
Master of Sustainable Land Management: Urban Land Engineering
Master of Sustainable Land Management: Abridged Program AR UrbLandEng