Innovations in Data Engineering Subjects

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50004963" target="_blank" >RIV/62690094:18450/17:50004963 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1166/asl.2017.7316" target="_blank" >http://dx.doi.org/10.1166/asl.2017.7316</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1166/asl.2017.7316" target="_blank" >10.1166/asl.2017.7316</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Innovations in Data Engineering Subjects

Popis výsledku v původním jazyce

Reflecting the call for new knowledge and skills required from the graduates of the Faculty of Informatics and Management, University of Hradec Kralove, four new subjects were added to the curriculum. To ensure the quality of highly professional training programme, the faculty started cooperation with IBM in the summer semester 2015. The aim of the joint training programme BigData EduCloud is to provide students with practical professional skills and prepare them for new positions that have recently been created on the labour market. The paper introduces (1) the concept of innovative approach to reaching the competences required form FIM graduates and (2) students´ success rate in the courses.

Název v anglickém jazyce

Innovations in Data Engineering Subjects

Popis výsledku anglicky

Reflecting the call for new knowledge and skills required from the graduates of the Faculty of Informatics and Management, University of Hradec Kralove, four new subjects were added to the curriculum. To ensure the quality of highly professional training programme, the faculty started cooperation with IBM in the summer semester 2015. The aim of the joint training programme BigData EduCloud is to provide students with practical professional skills and prepare them for new positions that have recently been created on the labour market. The paper introduces (1) the concept of innovative approach to reaching the competences required form FIM graduates and (2) students´ success rate in the courses.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Advanced science letters

ISSN

1936-6612

e-ISSN

—

Svazek periodika

23

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

4

Strana od-do

5090-5093

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85027877599