METHODS OF TRAINING OF STUDENTS OF THE APPLIED INFORMATICS DIRECTION USED IN THE COURSE OF TEACHING DISCIPLINE “STRUCTURES OF DATA IN SUBJECT DOMAIN”
The article presents training methods of teaching discipline “Structures of data in subject domain” to the secondyear students of Аpplied Informatics direction. Describes the sections of the discipline in question, presents the most important ones. Gives the content of training, grounds the choice of methods and means of training. Analyses the results of the students’ individual work. Describes the difficulties encountered in the process of students’ training. Shows that the most effective approach to improvement of the training process lies in the development of educational and methodical materials on the discipline, in particular cases and research tasks.
Keywords: training of students, data structures, applied Informatics
References:
1. Federal’niy gosudarstvenniy obrazovatel’niy standart vysshego professional’nogo obrazovaniya 230700 “Prikladnaya informatika” [Federal state educational standard of higher education 230700 «Applied Informatics». Order of the Ministry of Education and Science of the Russian Federation № 783 from December 22 2009]. URL: http://www.edu.ru/db-mon/mo/Data/d_09/m783.html (accessed 25 September 2014) (in Russian).
2. Rekomendatsii po prepodavaniu informatiki v universitetakh. Computing Curiculla 2001: Computernye nauki [Recommendations about teaching informatics at universities. Computing Curricula 2001: Computer Science] (in Russian).
3. Potyagaylo A. Yu. Programma uchebnoy distsipliny “Struktury dannykh v predmetnoy oblasti [The program of the discipline “Structures of data in subject domain” the department of informatics and mathematics]. Saint-Petersburg University of Human and Social Science, 2009. 8 p. (in Russian).
4. Mokriy V. Yu., Spitsin A. V. Methodicheskie recomendatsii po provedeniu samostoatelnoy raboti studentov po distsiplne “Strukturi dannikh v predmetnoy oblasti” [Methodical recommendations about carrying out independent work of students about discipline “Structures of data in subject domain”]. Department of informatics and mathematics, St. Petersburg University of Human and Social Science, 2013. 11 p. (in Russian).
5. Stas A. N., Prusskih O. N. Formirovanie algoritmitcheskogo myshleniya v protsesse izucheniya teorii grafov [Shaping the algorithmic thinking in the process of the education graph theory]. Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta – TSPU Bulletin, 2012, vol. 2, pp. 166–169 (in Russian).
6. Sokolskaya M. A. O metodakh obucheniya bakalavrov napravleniya “Pedagogicheskoe obrazovanie” po profi lu “Informatika” osnovam parallelnogo programmirovaniya [About the methods of teaching undergraduate students in pedagogical education, degree programme “computer science” to basics of parallel programming]. Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta – TSPU Bulletin, 2012, vol. 5, pp. 41–45 (in Russian).
7. Shvareva O. V. Keys-test: innovatsionnoe otsenochnoe sredstvo competentnosti bakalavrov [Case-test: innovative evaluation means of the competence of undergraduate students]. Nauchno-Pedagogicheskoe obozrenie – Pedagogical Review, 2013, vol. 1, pp. 28–32 (in Russian).
8. Pervushina N. A. Uspeshnost vizualizatsii informatsii v protsesse obucheniya [Successful visualization of information in education]. Nauchno-Pedagogicheskoe obozrenie – Pedagogical Review, 2013, vol. 2, pp. 30–34 (in Russian).
( 392.32 kB ) 
( 386.05 kB )
Issue: 1, 2015
Series of issue: Issue 1
Rubric: TEACHING NATURAL SCIENCES
Pages: 68 — 71
Downloads: 1438