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Education guide 'Eindhoven designs' - Technische Universiteit ...

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Eindhoven designs / volume two<br />

57<br />

enables students to describe relationships<br />

between parameters resulting in systems<br />

behaviour. The next step is mathematical<br />

modelling to describe this behaviour in<br />

mathematical relationships. For engineers,<br />

understanding and learning mathematical<br />

models is the foundation for simulation and<br />

optimisation. These enable exploration of<br />

the desired and undesired capabilities of<br />

technological mediation that occurs in the<br />

complex interplay between user and artefact,<br />

as explained in chapter two. Instead of using<br />

trial and error methods, students need to<br />

explore systematically and get insight: what<br />

are the crucial properties of especially highly<br />

dynamic and intelligent systems and products<br />

that benefit from mathematical modelling?<br />

During the design process the results of these<br />

types of modelling can be compared with<br />

prototype tests and analyses.<br />

Integrating Technology<br />

Being competent in integrating<br />

technology means being able to explore,<br />

visualise, create and demonstrate<br />

innovative concepts and experiences<br />

using technology, as well as analysing<br />

the technical and economic feasibility<br />

of complex designs in which technology<br />

is integrated. Moreover, one needs to<br />

understand scientific writings and be<br />

able to communicate with engineers and<br />

researchers of another discipline.<br />

Designing interactive and intelligent systems,<br />

and building prototypes requires training<br />

in choosing sensors and actuators, objectoriented<br />

design, algorithms, circuits and<br />

mechanisms, and integrating them in the<br />

overall competency of designing. Next to<br />

synthesising and concretising, developing<br />

one’s analytical and abstraction skills to<br />

determine the technical and economic<br />

feasibility of a design can be done through<br />

informed judgements through calculations,<br />

maths items and appropriate math tools, as<br />

well as generating sufficient knowledge that<br />

enables you to read further and go into depth<br />

on technological, design-related issues.<br />

Designers typically work in multi-disciplinary<br />

teams. This, and the fact that intelligent<br />

systems can overstretch at some point the<br />

skills and knowledge of Industrial Design<br />

students, requires students to understand<br />

scientific writings and be able to communicate<br />

with engineers and researchers of another<br />

discipline. Thus understanding E, I and W as<br />

disciplines and being able to cooperate with<br />

the E, I and W engineers, which may require<br />

reading specifications and datasheets,<br />

documenting hardware and software, and<br />

finally awareness of computer science and<br />

artificial intelligence.<br />

Ideas and Concepts<br />

Develop visions, innovative ideas and<br />

concepts through creativity techniques,<br />

experimentations and the translation of<br />

research.<br />

Ideas and concepts are initiated through<br />

different ways of doing and thinking<br />

according to your attitude, influences and<br />

experiences such as: empathic thinking<br />

(concerned with feeling and sensing your way),<br />

associative thinking (compares and makes<br />

connections with different objects, places and<br />

experiences), thinking with your body and

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