Information on individual educational components (ECTS-Course descriptions) per semester

Degree programme: Master Sustainable Energy Systems
Type of degree: FH Master´s Degree Programme
Part-time
Summer Semester 2022

Course unit title Systems Thinking
Course unit code 800101011200
Language of instruction German
Type of course unit (compulsory, optional) Elective
Semester when the course unit is delivered Summer Semester 2022
Teaching hours per week 4
Year of study 2022
Number of ECTS credits allocated Second Cycle (Master)
Number of ECTS credits allocated 6
Name of lecturer(s) Willy Christian KRIZ, Werner MANAHL


Prerequisites and co-requisites

None.


Course content

Different forms of systems theory (chaos theory, synergetics, cybernetics) and their application to questions of the management.

Different principles of systems-thinking like, self-orgaization, non-linearity, feedback loops etc.

Production of multi-relational cuase-effect structures / feedback loop diagrams.

Different tools for analysis and prediction of systems behaviour.

Theoretical models and practical exercises for co-operation and communication in interdisciplinary teams for solving complex situations and creating sustainable systems processes.

Systems-oriented definition and building of simulation models with causal-loop-diagrams and scenario-techniques and other methods. Further simulation of developed models with support of computer-simulation software (e.g. Heraklith III). Simulation of scenarios and definition of adequate decision-making strategies for management and change of simulated (and real) complex and dynamic systems (and related practical problems of actual systems processes and structures)


Learning outcomes

The students become acquainted with the fundamental principles of systems thinking and they can analyse systems behaviour in different disciplines and aeras of application.

Students are able to create multi-relational feedback loop models of systems.

Students know central factors for co-operation in interdisciplinary teams.

Students know typical errors and problems of humans in dealing with complex dynamic systems and they know strategies how to overcome these problems.

Students know Systems-Archetypes and can analyse, predict and display systems behaviour and develop intervention strategies in systems.

Students can build system-dynamics models and simulate the effects of decisions with integrated use of software-based simulations. Based o outcomes of different simulation- and scenario techniques students can give recommendations for decision makers for the change and further sustainable development of socio-technical systems.


Planned learning activities and teaching methods

Specialized input, reflections, exercises, system modelling with software, project group work, case studies, simulation games, scenario techniques.


Assessment methods and criteria

Seminar papers (individual and group papers) and presentations.


Comment

None.


Recommended or required reading

Will be provided in ILIAS.


Mode of delivery (face-to-face, distance learning)

Face to face with self learning phases.