PUMA publications for /tag/instrumentation;e-learning;education;ferromagnetism;statisticalThu Mar 03 17:45:04 CET 2016New YorkPervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference onmar{O}n {R}emote and {V}irtual {E}xperiments in e{L}earning in {S}tatistical {M}echanics and {T}hermodynamics2007aided computer education;Educational education;statistical experiments;virtual instruction;distance instrumentation;e-learning;education;ferromagnetism;statistical instruments;Analytical learning;Mathematical learning;ferromagnetism;physics mechanics;thermodynamics;virtual model;Mathematics;Physics;Predictive modeling;Computer models;Computational models;Thermodynamics science technology;Electronic The science of physics is based on theories and models
as well as experiments: the former structure relations
and simplify reality to a degree such that predictions on
physical phenomena can be derived by means of math-
ematics. The latter allow verification or falsification of
these predictions. Computer sciences allow a new access to
this relationship, especially well-suited for education: New
Technologies provide simulations for the model, virtual
instruments for running and evaluating real experiments
and mathematical toolkits to solve equations derived from
the theory analytically and to compare the outcome of all
three methods. We will demonstrate this approach on two
examples: Ferromagnetism and thermodynamics.Thu Mar 10 09:18:49 CET 2016New YorkPervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference onmar{O}n {R}emote and {V}irtual {E}xperiments in e{L}earning in {S}tatistical {M}echanics and {T}hermodynamics2007aided computer education;Educational education;statistical experiments;virtual instruction;distance instrumentation;e-learning;education;ferromagnetism;statistical instruments;Analytical learning;Mathematical learning;ferromagnetism;physics mechanics;thermodynamics;virtual model;Mathematics;Physics;Predictive modeling;Computer models;Computational models;Thermodynamics science technology;Electronic The science of physics is based on theories and models
as well as experiments: the former structure relations
and simplify reality to a degree such that predictions on
physical phenomena can be derived by means of math-
ematics. The latter allow verification or falsification of
these predictions. Computer sciences allow a new access to
this relationship, especially well-suited for education: New
Technologies provide simulations for the model, virtual
instruments for running and evaluating real experiments
and mathematical toolkits to solve equations derived from
the theory analytically and to compare the outcome of all
three methods. We will demonstrate this approach on two
examples: Ferromagnetism and thermodynamics.instrumentation;e-learning;education;ferromagnetism;statisticalCommunity for tag(s) instrumentation;e-learning;education;ferromagnetism;statistical