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
收藏
页码：30 / 35
页数：6
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