Fundamentals of scientific modelingStudents understand the concept of model based science, can identify key properties of models, and categorize modelsStudents know the process of modeling and are able to critically reflect on itStudents know the relationship between models and theoriesStudents know the potential that computer support has for model-based research approachesFundamentals of reasoningStudents are familiar with the basics of reasoning and reasoning in the context of model-based researchStudents can characterize the relationship between abduction, induction, and deductionStudents know (cognitive) patterns of abductionStudents are familiar with the forms of abduction and can identify their relevance in the context of model-based researchModeling and computational issuesStudents understand the contribution of computer support to model-based research approaches and can critically reflect conclusions and arguments in this contextStudents are familiar with the properties of complex systems and are able to assess the contribution of computer support to modeling and simulating such systems(Self-) Reflection of model-based research Students are able to critically reflect on their own model-based researchStudents can identify best practices of model-based research (especially argumentation and reasoning) in their own scientific field

LecturesDiscussionsShort reflection papersPresentation of short reflection papers

Module 1 - The fundamentals of scientific modeling: What is a model? How can models be categorized? The process of building (simulation) modelsModels and theories (or: the received and the semantic view on theories)Fundamentals on the relation between modeling and simulationModule 2 - The fundamentals of reasoning:Fundamentals of scientific reasoning (e.g., forms of reasoning)Relation between abduction, induction and deduction Patterns of abduction (including cognitive aspects of abduction)The role of model-based reasoning in scientific thinking Module 3 - Modeling and computational issues:Computational models and tools for the study of cognition and model-based reasoning Applications of computational methods & the formulation of scientific ideasModeling of complex systems  Module 4 – (Self-) Reflection of model-based research in the own area of research:Reflection (of the topics covered in the course) on one’s own research (the dissertation project)And/or: Reflection of the topics covered in the course on research in specific scientific domains

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References will be provided during the courseLink auf weitere Informationenwww.aau.at/csu

Presentation of a selected topic related to the individual PhD projectShort reflection paperDiscussion

all topics covered in the course

positive evaluation of the presentation and the short reflection paper as well as engagement in discussion during the seminar.