Teaching Engineering of AI-Intensive Systems.

Atif Mashkoor; Wesley Klewerton Guez Assuncao; Alexander Egyed

doi:10.1109/MS.2023.3346996

Teaching Engineering of AI-Intensive Systems.

Atif Mashkoor
, Wesley Klewerton Guez Assuncao
, Alexander Egyed

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

With the increasing prevalence of artificial intelligence (AI), a key question is how to adequately prepare the next generation of software engineers to build AI-intensive systems. This article presents our teaching experience for presenting the “Engineering of AI-intensive Systems” course to postgraduate students.

Original language	English
Title of host publication	36th International Conference on Software Engineering Education and Training (CSEE&T), 2024
Publisher	IEEE Software
Pages	30-35
Number of pages	6
Volume	41
Edition	2
DOIs	https://doi.org/10.1109/MS.2023.3346996
Publication status	Published - Mar 2024

Publication series

Name	IEEE Software
ISSN (Print)	0740-7459

Fields of science

102 Computer Sciences
102022 Software development

JKU Focus areas

Digital Transformation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MS.2023.3346996

Cite this

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title = "Teaching Engineering of AI-Intensive Systems.",

abstract = "With the increasing prevalence of artificial intelligence (AI), a key question is how to adequately prepare the next generation of software engineers to build AI-intensive systems. This article presents our teaching experience for presenting the “Engineering of AI-intensive Systems” course to postgraduate students.",

author = "Atif Mashkoor and \{Guez Assuncao\}, \{Wesley Klewerton\} and Alexander Egyed",

year = "2024",

month = mar,

doi = "10.1109/MS.2023.3346996",

language = "English",

volume = "41",

series = "IEEE Software",

publisher = "IEEE Software",

pages = "30--35",

booktitle = "36th International Conference on Software Engineering Education and Training (CSEE\&T), 2024",

edition = "2",

}

Teaching Engineering of AI-Intensive Systems. / Mashkoor, Atif; Guez Assuncao, Wesley Klewerton; Egyed, Alexander.
36th International Conference on Software Engineering Education and Training (CSEE&T), 2024. Vol. 41 2. ed. IEEE Software, 2024. p. 30-35 (IEEE Software).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Teaching Engineering of AI-Intensive Systems.

AU - Mashkoor, Atif

AU - Guez Assuncao, Wesley Klewerton

AU - Egyed, Alexander

PY - 2024/3

Y1 - 2024/3

N2 - With the increasing prevalence of artificial intelligence (AI), a key question is how to adequately prepare the next generation of software engineers to build AI-intensive systems. This article presents our teaching experience for presenting the “Engineering of AI-intensive Systems” course to postgraduate students.

AB - With the increasing prevalence of artificial intelligence (AI), a key question is how to adequately prepare the next generation of software engineers to build AI-intensive systems. This article presents our teaching experience for presenting the “Engineering of AI-intensive Systems” course to postgraduate students.

UR - https://ieeexplore.ieee.org/document/10374137

UR - https://www.scopus.com/pages/publications/85181575914

U2 - 10.1109/MS.2023.3346996

DO - 10.1109/MS.2023.3346996

M3 - Conference proceedings

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T3 - IEEE Software

SP - 30

EP - 35

BT - 36th International Conference on Software Engineering Education and Training (CSEE&T), 2024

PB - IEEE Software

ER -

Teaching Engineering of AI-Intensive Systems.

Abstract

Publication series

Fields of science

JKU Focus areas

UN SDGs

Access to Document

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Cite this