Publication Details
Extending Networking Curriculum with Applied Artificial Intelligence
computer networking, curriculum, artificial intelligence,
engineering education
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.
@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"
}