THE ROLE OF MATHEMATICS AND COMPUTER MATHEMATICS MAXIMA IN IMPROVING THE QUALITY OF JURIDICAL EDUCATION
DOI: 10.23951/2307-6127-2018-1-142-150
The article deals with the study of the mutual influence of legal thinking on the development of Mathematics and of Mathematics on the quality of legal thinking. A historical example of the emergence of a new mathematical thinking that extends the notion of number and the notion of justice, named in the work as “a justice number” is considered. We study the problem of dividing of the bet in an unfinished game and two solutions: first solution is the “unjust”, given by Pacioli, using the Aristotelian notion of distributive justice, and the second “just” solution, given by Fermat, in which the notion of number and the new Mathematical thinking – probability theory – were expanded. It was concluded that the emergence of new mathematical thinking has changed the notion of justice in accordance with the new content of mathematical thinking. Another conclusion is that at all times the analogue of truth and fair law for a lawyer was Mathematics. Arguments are presented in favor of teaching Mathematics to improve the quality of juridical education in the study of legal disciplines at law university. We suggest starting the study of information technology at Law Faculty with the study of computer Mathematics Maxima. The Maxima program teaches the student the rigor and uniqueness of thinking due to the need for correct writing of commands, and develops student’s mathematical thinking. The new mathematical thinking of the student becomes an inseparable component of the legal thinking of a future lawyer. So, Maxima improves the quality of juridical education.
Keywords: juridical thinking, mathematical thinking, justice, distributive justice, the quality of juridical education, Mathematics, probability, probability theory, dividing of the bet in an unfinished game, information technology, computer Mathematics Maxima
References:
1. Pravoponimaniye M. V. Lomonosova [Legal Understanding of M. V. Lomonosov] (in Russian). URL: http://museum.lomic.ru/science/lomonosov-pravo.html (accessed 23 April 2017).
2. Matematiku uzhe zatem uchit’ nado, chto ona um v poryadok privodit [Mathematics must then be taught, that it brings the mind in order] (in Russian). URL: https://alma-mater-spb.ru/shkola/predmetnye-kafedry/kafedra-matematiki/matematiku-uzhe-zatem-uchit-nado-chto-ona-um-v-poryadok-privodit/ (accessed 23 April 2017).
3. Markin A. V. Nuzhna li yuristu matematika? [Does a lawyer need Maths?] (in Russian). URL: https://cyberleninka.ru /article/n/nuzhna-li-yuristu-matematika (accessed 23 April 2017).
4. Yedinaya kollektsiya tsifrovykh obrazovatel’nykh resursov. Pervyye shagi teorii veroyatnostey [A unifi ed collection of digital educational resources. The fi rst steps in probability theory] (in Russian). URL: http://files.school-collection.edu.ru/dlrstore/8d8a0eae-5980-4edd-366b-51bd08844651/00145620285597241.htm (accessed 23 April 2017).
5. Levitan K. M. Yuridicheskaya pedagogika: uchebnik [Legal pedagogy: textbook]. Moscow, Norma Publ., 2008. 432 p. (in Russian).
6. Chichkarev E. A. Komp’yuternaya matematika s Maxima: rukovodstvo dlya shkol’nikov i studentov [Computer mathematics with Maxima: A guide for schoolchildren and students]. Moscow, Alt Linux Publ., 2012. 384 p. (in Russian).
7. Chichkarev Ye. A. Akademiya Alt Linux: komp’yuternaya matematika s Maxima: elektronnyy kurs [Academy Alt Linux: Computer mathematics with Maxima: electronic course] (in Russian). URL: http://www.intuit.ru/studies/courses/3484/726/info (accessed 23 April 2017).
8. Mayevskiy Ye. V., Yagodovskiy P. V. Komp’yuternaya matematika. Vysshaya matematika v SKM Maxima. Chast’ I. Vvedeniye [Computer mathematics. Higher Mathematics in SCM Maxima. Part I. Introduction]. Moscow, Finansovyy universitet Publ., 2014. 196 p. (in Russian). URL: http://e-math.ru/maxima (accessed 23 April 2017).
9. Stakhin N. A. Osnovy raboty s sistemoy analiticheskikh (simvol’nykh) vychisleniy Maxima: uchebnoye posobiye [Basics of work with the system of analytical (symbolic) computations Maxima: textbook]. Moscow, 2008. 86 p. (in Russian). URL: ftp://ftp.altlinux.ru/pub/people/black/MetodBooks/Maxima.pdf (accessed 23 April 2017).
10. Stas’ A. N., Dolganova N. F. Razvitiye algoritmicheskogo myshleniya v protsesse obucheniya budushchikh uchiteley informatiki [Algorithmic thinking development in the process of training computer science te achers]. Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta – TSPU Bulletin, 2012, vol. 7 (122), pp. 241–244 (in Russian). URL: http://cyberleninka.ru/article/n/razvitie-algoritmicheskogo-myshleniya-v-protsesse-obucheniya-buduschih-uchiteley-informatiki (accessed 23 April 2017).
11. Il’in A. G., Kuz’menko V. I., Kostina N. N. Prepodavaniye matematiki studentam-bakalavram yuridicheskikh fakul’tetov [Teaching mathematics to students-bachelors of law faculties]. Naukovedeniye, 2015, vol. 7, no. 5. (in Russian) URL: http://naukovedenie.ru/PDF/153PVN515.pdf. DOI: 10.15862/153PVN515 (accessed 23 April 2017).
( 435.2 kB ) 
( 427.44 kB )
Issue: 1, 2018
Series of issue: Issue 1
Rubric: PROFESSIONAL EDUCATION
Pages: 142 — 150
Downloads: 700