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Modelling and Simulation in the Engineering Sciences (An Introduction in the Philosophy of Science for Engineers)

Course 0000006066 in SS 2021

General Data

Course Type seminar
Semester Weekly Hours 2 SWS
Organisational Unit Academic Programs WTG
Lecturers Jörg-Wilhelm Wernecke
Dates Thu, 14:00–17:15

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Crash tests in the automobile industry, the flow behaviour of aerodynamics and hydrodynamics, in quantum physics and biochemistry, in bio- and medical engineering, electrical engineering, acoustics, civil engineering, climate simulation, architecture and social sciences, modelling and simulation have proven to be important methods for generating knowledge and skills in a broad spectrum of current research areas. Despite all the scientific success of modelling and computer-aided simulations, new challenges arise with regard to the identification of (meaningful) fields of application, the determination of the possibilities and limits of this form of knowledge production, its validity and validation as well as the handling and consequences resulting from these specific research methods. Philosophy and theory of science take up these challenges by methodically and systematically reflection for example with questions such as: Do scientific models describe the world as it "is" (even "only" in part), or do they give us "only" instruments with which we can better describe certain phenomena of nature, develop better solutions with regard to concrete practical problems? What influence do research projects such as climate simulations have on social processes, and what factors are involved in technical modelling and simulations? In the seminar, different aspects of science philosophy and science theory will be developed on the basis of concrete fields of application of modelling and simulation (case studies), for example by questioning: What is a confirmation, what is an explanation? What do we mean when we talk about models, theories or laws of nature? How secure is our knowledge of the world when we model and simulate it? Are models and theories completely determined by experience?
Links E-Learning course (e. g. Moodle)
TUMonline entry
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