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MATOUŠEK, P. RYŠAVÝ, O. BURGETOVÁ, I.
Original Title
Extending Networking Curriculum with Applied Artificial Intelligence
Type
conference paper
Language
English
Original Abstract
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.
Keywords
computer networking, curriculum, artificial intelligence, engineering education
Authors
MATOUŠEK, P.; RYŠAVÝ, O.; BURGETOVÁ, I.
Released
23. 8. 2019
Publisher
Institute of Electrical and Electronics Engineers
Location
Ruse
ISBN
978-1-7281-3222-8
Book
Proceedings of EAEEIE 2019
Pages from
11
Pages to
16
Pages count
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" }