Teaching Engineering of AI-Intensive Systems

被引：1

作者：

Mashkoor, Atif ^{[1
]}

Assuncao, Wesley K. G. ^{[2
]}

Egyed, Alexander ^{[3
]}

机构：

[1] Johannes Kepler Univ JKU, A-4040 Linz, Austria

[2] North Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA

[3] Johannes Kepler Univ JKU, Software Intens Syst, A-4040 Linz, Austria

来源：

IEEE SOFTWARE | 2024年 / 41卷 / 02期

基金：

奥地利科学基金会;

关键词：

Artificial intelligence; Education; Machine learning; Codes; Analytical models; Software systems; Software engineering;

D O I：

10.1109/MS.2023.3346996

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：30 / 35

页数：6

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