Engineering and in general STEM (Science, technology, engineering and mathematics) education and practice is expensive, can drain precious resources (materials, energy etc.) and can be very time consuming (in setting up of physical experiments and different trial and error efforts). That is why numerical modelling is steadily gaining ground in a range of STEM related fields ranging from mechanical
reliability of bridges to the design of medically implantable devices. The impact will be on increase of the skill set of the participants, improvement of employment prospects, development of an engineering…
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