Innovation of University Subjects in Data Science Area within
IT Academy Project

D 2018

Innovation of University Subjects in Data Science Area within IT Academy Project

ANTONI, L., E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI et. al.

Basic information

Original name

Innovation of University Subjects in Data Science Area within IT Academy Project

Authors

ANTONI, L. (guarantor), E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI, O. KRIDLO, Radim NAVRÁTIL (203 Czech Republic, belonging to the institution), L. SNAJDER, G. ANDREJKOVA and D. SVEDA

Edition

NEW YORK, 2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA), p. 31-36, 6 pp. 2018

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14310/18:00110993

Organization unit

Faculty of Science

ISBN

978-1-5386-7914-2

DOI

http://dx.doi.org/10.1109/ICETA.2018.8572036

UT WoS

000457680400003

Keywords in English

Data mining; Data models; Data science; Training; Programming; Mathematics

Abstract

V originále

Data analysis solutions are already being used in many areas of technical, natural, humanitarian and economic sciences. Moreover, data analysis experts are already a scarce, and students with knowledge of Data Science have the potential to be highly desirable in the labor market. We present the data classification tasks and provide basic methods for measuring precision of classification. In conclusion, we bring a review of Data Science subjects that are introduced and innovated at universities within the IT Academy Project.

Citovat

ANTONI, L., E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI, O. KRIDLO, Radim NAVRÁTIL, L. SNAJDER, G. ANDREJKOVA and D. SVEDA. Innovation of University Subjects in Data Science Area within IT Academy Project. Online. In Jakab, F. 2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA). NEW YORK: IEEE, 2018, p. 31-36. ISBN 978-1-5386-7914-2. Available from: https://dx.doi.org/10.1109/ICETA.2018.8572036.

@inproceedings{1570676,
   author = {Antoni, L. and Bruoth, E. and Gunis, J. and Gursky, P. and Krajci, S. and Kridlo, O. and Navrátil, Radim and Snajder, L. and Andrejkova, G. and Sveda, D.},
   address = {NEW YORK},
   booktitle = {2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA)},
   doi = {http://dx.doi.org/10.1109/ICETA.2018.8572036},
   editor = {Jakab, F},
   keywords = {Data mining; Data models; Data science; Training; Programming; Mathematics},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {NEW YORK},
   isbn = {978-1-5386-7914-2},
   pages = {31-36},
   publisher = {IEEE},
   title = {Innovation of University Subjects in Data Science Area within IT Academy Project},
   url = {https://ieeexplore.ieee.org/document/8572036},
   year = {2018}
}

TY  - JOUR
ID  - 1570676
AU  - Antoni, L. - Bruoth, E. - Gunis, J. - Gursky, P. - Krajci, S. - Kridlo, O. - Navrátil, Radim - Snajder, L. - Andrejkova, G. - Sveda, D.
PY  - 2018
TI  - Innovation of University Subjects in Data Science Area within IT Academy Project
PB  - IEEE
CY  - NEW YORK
SN  - 9781538679142
KW  - Data mining
KW  - Data models
KW  - Data science
KW  - Training
KW  - Programming
KW  - Mathematics
UR  - https://ieeexplore.ieee.org/document/8572036
L2  - https://ieeexplore.ieee.org/document/8572036
N2  - Data analysis solutions are already being used in many areas of technical, natural, humanitarian and economic sciences. Moreover, data analysis experts are already a scarce, and students with knowledge of Data Science have the potential to be highly desirable in the labor market. We present the data classification tasks and provide basic methods for measuring precision of classification. In conclusion, we bring a review of Data Science subjects that are introduced and innovated at universities within the IT Academy Project.
ER  -

ANTONI, L., E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI, O. KRIDLO, Radim NAVRÁTIL, L. SNAJDER, G. ANDREJKOVA and D. SVEDA. Innovation of University Subjects in Data Science Area within IT Academy Project. Online. In Jakab, F. \textit{2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA)}. NEW YORK: IEEE, 2018, p.~31-36. ISBN~978-1-5386-7914-2. Available from: https://dx.doi.org/10.1109/ICETA.2018.8572036.

Detailed Information on Publication Record