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MATOUŠEK, P. RYŠAVÝ, O. BURGETOVÁ, I.
Originální název
Extending Networking Curriculum with Applied Artificial Intelligence
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Artificial Intelligence (AI) and related technologies like data mining, machine learning or neural networks became very popular in recent years. Many IT companies today require graduated students to understand and be able to apply these technologies. Application potential of AI is not limited only to robotics, image processing or intelligent agents but also in engineering areas like computer networking and communication. However, on most universities, networking courses focus mainly on transmission protocols, network services and hardware design only while AI, machine learning or neural networks are taught separately. This causes a gap that emerges between AI theory and engineering approach. Thus, teachers of engineering courses are challenged how to introduce their students to an application of AI in the engineering areas, e.g., electronics, communication, embedded systems, power grids, etc. This paper shows how selected AI techniques presently used in computer networks can be incorporated into networking curriculum and demonstrated to students which extends student competencies and prepares them better into future jobs. We also present two case studies where AI techniques are applied on networking data in order to solve typical engineering problems.
Klíčová slova
computer networking, curriculum, artificial intelligence, engineering education
Autoři
MATOUŠEK, P.; RYŠAVÝ, O.; BURGETOVÁ, I.
Vydáno
23. 8. 2019
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Ruse
ISBN
978-1-7281-3222-8
Kniha
Proceedings of EAEEIE 2019
Strany od
11
Strany do
16
Strany počet
6
URL
https://ieeexplore.ieee.org/document/9000455
BibTex
@inproceedings{BUT159982, author="Petr {Matoušek} and Ondřej {Ryšavý} and Ivana {Burgetová}", title="Extending Networking Curriculum with Applied Artificial Intelligence", booktitle="Proceedings of EAEEIE 2019", year="2019", pages="11--16", publisher="Institute of Electrical and Electronics Engineers", address="Ruse", doi="10.1109/EAEEIE46886.2019.9000455", isbn="978-1-7281-3222-8", url="https://ieeexplore.ieee.org/document/9000455" }