Modern engineering education is increasingly assuming an interdisciplinary character, where developments in one area almost invariably affect other areas. A prominent example is that of signal processing, which has undergone significant changes with the emergence of machine learning (ML) and deep learning (DL) in recent years. While the impact of ML/DL is clearly visible from the viewpoint of research and development as well as industrial applications, it is not immediately clear how signal processing education should evolve in terms of pedagogy and content. Hence, the main purpose of this article is to provide some insight into this aspect. In particular, we emphasize that the introduction and popularity of ML/DL, especially at the level of teaching, has provided an opportunity to bring the focus back to some of the fundamental ideas rooted in signal processing and other related fields of study.

中文翻译：

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从白盒子到黑盒子的过渡：信号处理教育中的挑战和机遇

现代工程教育越来越具有跨学科的特征，一个领域的发展几乎总是影响其他领域。一个突出的例子是信号处理，随着近年来机器学习（ML）和深度学习（DL）的出现，信号处理发生了重大变化。尽管从研发和工业应用的角度来看，ML / DL的影响是显而易见的，但目前尚不清楚信号处理教育应如何在教学法和内容上发展。因此，本文的主要目的是提供对此方面的一些见解。特别是，我们强调ML / DL的引入和普及，尤其是在教学方面，