Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Teaching Engineering & Materials Science
Computer programming languages Engineering & Materials Science
Algebra Engineering & Materials Science
Education Engineering & Materials Science
Die casting inserts Engineering & Materials Science
Computer programming Engineering & Materials Science
Students Engineering & Materials Science
Statistics Engineering & Materials Science

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Research Output 1998 2017

  • 1 Citations
  • 1 h-Index
  • 8 Article
  • 3 Conference contribution

PDF slide teaching materials created using KETCindy

Yamashita, S., Kobayashi, S., Makishita, H. & Takato, S. 2017 Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Springer Verlag, Vol. 10407 LNCS, p. 285-300 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10407 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Teaching
Statistics
Students
Geometry
1 Citations

Establishment of KETpic programming styles for drawing

Yamashita, S., Maeda, Y., Usui, H., Kitahara, K., Makishita, H. & Ahara, K. 2014 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8592 LNCS, p. 641-646 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8592 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer programming languages
Die casting inserts
Computer programming
Teaching

Practice with computer algebra systems in mathematics education and teacher training courses

Makishita, H. 2014 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8592 LNCS, p. 594-600 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8592 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Algebra
Education
Students
Sports
Geometry