A Case Study of Thinking out of the Box in Electrical Engineering

The current context of rapid evolution of IT technologies and devices (Information Technology) imposes changes in engineering education. Education for the development of creativity becomes a requirement. This paper presents a new concept for the development of creativity by introducing an optional homework for Applied Electronics students, the final year of undergraduate studies. The homework requires electronic design of an application in the field of art of each student's diploma project. The paper presents the results of this initiative and the analysis of students' feedback. A statistical pilot study was organized that highlighted students' opinions about creativity as well as students' reasons for doing or not doing the optional homework.

Machine Learning for Electronic Design Automation: A Survey

With the down-scaling of CMOS technology, the design complexity of very large-scale integrated is increasing. Although the application of machine learning (ML) techniques in electronic design automation (EDA) can trace its history back to the 1990s, the recent breakthrough of ML and the increasing complexity of EDA tasks have aroused more interest in incorporating ML to solve EDA tasks. In this article, we present a comprehensive review of existing ML for EDA studies, organized following the EDA hierarchy.