Software Development

Fathom 2: Eine Einführung by Rolf Biehler, Tobias Hofmann, Carmen Maxara, Andreas Prömmel

Posted On February 25, 2017 at 2:36 pm by / Comments Off on Fathom 2: Eine Einführung by Rolf Biehler, Tobias Hofmann, Carmen Maxara, Andreas Prömmel

By Rolf Biehler, Tobias Hofmann, Carmen Maxara, Andreas Prömmel

Fathom 2 ist eine einzigartige dynamische Stochastik- und Datenanalysesoftware, die den besonderen Bed?rfnissen der schulischen und universit?ren Lehre gerecht wird und die hier erstmals in deutscher Adaption vorgelegt wird. Die Einf?hrung in Fathom 2 bietet einen schnellen und erfolgreichen Einstieg in diese Werkzeugsoftware anhand zahlreicher Beispiele zur statistischen Datenanalyse, zur stochastischen Simulation und zu mathematischen Aspekten der Stochastik. Exemplarisch wird weiterhin aufgezeigt, wie guy mit Fathom interaktiv-explorative Arbeitsumgebungen f?r das Lehren und Lernen herstellen kann. Authentische Beispiele mit realen Daten, interaktive Erkundungen stochastischer Modelle und statistischer Methoden lassen sich so leichter in die einf?hrende Statistikausbildung und den schulischen Stochastikunterricht integrieren. Mit einer einzigen flexiblen Werkzeugsoftware kann sowohl das Anwenden als auch das Lernen von Stochastik und Datenanalyse unterst?tzt werden. Das sehr nutzerfreundliche Interface sowie die wichtigsten graphischen und analytischen instruments werden vorgestellt und ausf?hrlich beschrieben. In die Einf?hrung sind mehrj?hrige Erfahrungen mit dem Einsatz von Fathom in der Lehre am Fachbereich Mathematik/Informatik der Universit?t Kassel und an mehreren Versuchsschulen eingegangen.

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Very powerful and elegant STL methods and algorithms, but before we can call them we have to “prepare” a character or string to be usable for them. From that point of view the code has sometimes a rather sad form and what is more important — the cost of developing such a code is very high, the proper solution being found often after several trials and not as a result of careful planning. The reliability of such code is also low as the side effects resulting from those character and string manipulations are sometimes unpredictable and occur when the code is already in use by a customer.

3. Dijkstra, E. , “GOTO considered harmful,” letter, 1966. 4. Knuth, D. , The Art of Computer Programming, Vol. 1, Fundamental Algorithms. Reading, MA: Addison-Wesley, 1968. 5. Knuth, D. , The Art of Computer Programming, Vol. 2, Seminumerical Algorithms. Reading, MA: Addison-Wesley, 1969. fm Page 21 Tuesday, March 7, 2006 8:48 PM Evolution of Software Development Ⅲ 21 6. Knuth, D. , The Art of Computer Programming, Vol. 3, Sorting and Searching. Reading, MA: Addison-Wesley, 1973. 7. Graham, R.

The serious question is: Do we see any progress in programming languages? We have serious doubts about that or, frankly speaking, we are convinced that there has been no progress in that field since the invention of the object-oriented paradigm. We are confronted of course every few years with a new language, but the principles do not change. A programmer must still convert very complex requirements into a working application using primitive instruction sets. The resulting code is extremely hard to read, let alone analyze to study its behavior in all situations.

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