About difficulties of introduction of mathematic methods in technical chemistry
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In practice of teaching disciplines "Design bases" and "Methods of scientific researches" for chemical and technological (applied) specialties the specific problem having general character meets. In this work the possible formulation of a problem is shown that can promote improvement of processes of teaching and use in practice of modern methods of statement and processing of experiment in engineering specialties of a chemical and technological profile. It isn't excluded that other scientific and pedagogical workers also will take part in discussion of a problem. The beginning researcher faces a data processing problem. But formally the problem is called "Experiment planning". Mathematics to chemists has come with this offer. As the teacher I has already found out that it "is possible" to explain essence of planning of experiment simply - in five minutes: to explain that such coding and to remind a method of the smallest squares (MNK). However, in practice all this is accompanied by check on reliability of results, and there are a lot of specific concepts. Nobody explains to the beginning researcher that the concept "experiment planning" is ambiguous to that work which to him should be engaged in attempt to execute this planning. Meanwhile mathematics which have developed all this, have thought up, consider that with statistics there are no problems - all of them it long ago and well know; also are surprised why problems with planning are possible. Conclusions: Perhaps, without having noticed that, mathematicians and programmers have put the jargons into general practice (but nobody, except "demons" guesses it). Because of it general rejection of "matematization" and "computerization" is also observed at the same time. It is clear, why "technicians" don't even consider as a point of honor to teach such disciplines. And it is even considered that it is simply impossible to understand all this in principle.
Technical chemistry, mathematical statistics, experiment planning, modeling of productions, algorithm, mathematical methods of processing of experiment, design basis
Короткий адрес: https://sciup.org/148102351
IDR: 148102351