Recommended prerequisite for participation in
the module
The module is based upon knowledge obtained in Systems Engineering.
Content, progress and pedagogy of the
module
In this module students will learn how to integrate
considerations of risk, resilience and sustainability into a common
decision analytic framework for societal decision support from
local to global scales. Taking basis in systems engineering, the
module will focus on state-of-the-art methods for the modelling of
combined engineered-ecological-social systems, Bayesian
Probabilistic Nets (BPNs), consequential Life Cycle Assessment
(LCA) and techniques of network systems analysis. Combining flipped
classroom and PBL approaches, students will work in groups on a
case study and deliver a digital portfolio of their investigation,
which they will present in an oral presentation for a hypothetical
decision-making client.
Learning objectives
Knowledge
- Demonstrate theoretical understanding of the concepts of
systems resilience and quantitative sustainability and the
trade-offs between them in the context of risk-informed decision
support.
- Demonstrate theoretical understanding of concepts that underpin
the scientific frameworks and methods for the joint assessment of
risk, resilience and sustainability, including: system boundary,
Planetary Boundaries, scale, temporality, (ir)reversibility,
(non)linearity, limit, threshold, (de)growth, informational event,
indicator, preference, option, action, consequence, utility,
equity, accountability.
- Demonstrate theoretical understanding of differences between
stated, revealed and informed preferences and how those impact the
setting of objectives and the choice of metrics for integrated
risk, resilience and sustainability assessment, management and
governance.
- Demonstrate theoretical understanding of BPNs and their
application in various decision contexts
- Demonstrate theoretical understanding of differences between
attributional and consequential LCA and how they impact on system
boundaries and systems modeling
Skills
- Ability to identify relevant preferences and objectives for
risk, resilience and sustainability informed decision making for
different stakeholders and at different time-space scales
- Ability to model and quantify resilience characteristics for
simple combined engineered-ecological-social systems
- Ability to create a simplified framework for a consequential
LCA in the context of a given case study
- Apply simple tools for consequential LCA
- Ability to define and analyze decision problems for simple
combined engineered-ecological-social systems and to assess
tradeoffs between risk, resilience and sustainability
- Ability to choose relevant indicators for monitoring a systems
performance based on informed preferences
Competences
- Ability to use terms and concepts with clarity and
precision
- Ability to communicate scientific results in a manner
appropriate for different audiences: scientific peers,
decision-makers, general public
- Ability to use data visualization tools for e.g., cluster
analysis
- Ability to use digital media for e.g., wiki for project
reporting
- Ability to conduct group project work in synchronous and
asynchronous learning environments
- Ability to work in a social learning environment in accordance
with PBL philosophy
Type of instruction
Flipped classroom, classroom-based and virtual discussion
sessions, hands-on workshops in relevant digital
tools/software.
Extent and expected workload
The module is 5 ECTS which is corresponding to 150 hours of
study.
Exam
Exams
Name of exam | Integration of Risk, Resilience and Sustainability |
Type of exam | Written or oral exam
Portfolio based oral exam |
ECTS | 5 |
Permitted aids | Der henvises til den pågældende
semesterbeskrivelse/kursusbeskrivelse i Moodle. |
Assessment | Passed/Not Passed |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination
Policies and Procedures |