Communications - Scientific Letters of the University of Zilina 2006, 8(3):29-32 | DOI: 10.26552/com.C.2006.3.29-32

Mathematics in Applied Informatics Education - New Choices and Challenges

Michal Kaukic1
1 Department of Mathematical Methods, Faculty of Management Science and Informatics, University of Zilina, Slovakia

In this paper, new ways of teaching Mathematics, which have been opened by the widespread of computers and notebooks and also by adequate software tools, are discussed. Based on our experience, we advocate the use of Open Source software as the mainstream tools in Mathematics and Informatics education. We give the more concrete examples of tools, used for teaching of Numerical Analysis topics, which can be successfully explored also for majority of other subjects in Applied Informatics and Mathematics. Some recommendations for the choices of suitable software and for further coordination in this field are given.

Keywords: no keywords

Published: September 30, 2006  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Kaukic, M. (2006). Mathematics in Applied Informatics Education - New Choices and Challenges. Communications - Scientific Letters of the University of Zilina, 8(3), 29-32. doi: 10.26552/com.C.2006.3.29-32
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. SEFI Math. working group: Mathematics for the European Engineer, SEFI HQ, 2002
    2. KAUKIČ, M.: Open Source software resources for numerical analysis teaching, International Journal for Mathematics Teaching and Learning, CIMT, Univ. of Exeter, Exeter, Oct. 2005, ISSN 1473-0111, electronical form, 9 pages
    3. EATON, J. W.: Octave Manual, available on http://www.octave.org/docs.html
    4. VAN ROSSUM, G.: Python Documentation, on http://www.python.org/doc
    5. PEREZ, F.: IPython - An enhanced Interactive Python, available from http://ipython.scipy.org
    6. ASHER, D., DUBOIS, P. F., HINSEN, K., HUGUNIN, J., OLIPHANT, T.: Numerical Python, available on http://numpy.sourceforge.net
    7. SciPy Devolopers: SciPy, available on http://www.scipy.org
    8. HUNTER, J. D.: Matplotlib, available on http://matplotlib.sourceforge.net
    9. KAUKIČ, M.: Essentials of Pylab Programming, (in Slovak), draft of textbook in preparation, can be downloaded from http://frcatel.fri.utc.sk/mp2.pdf
    10. KNUTH, D.: The Art of Computer Programming, vol. 1, Addison-Wesley, 1969.

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content