Communication is a key element for classroom teaching and group project management in higher education. In this paper, we describe in detail how an online tool, Slack, helps improve communication and collaboration in ...
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engineering educators have always been concerned with teaching good methodology so that students learn how to efficiently approach problems in design, analysis, and manufacturing. But the definition of "good meth...
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engineering educators have always been concerned with teaching good methodology so that students learn how to efficiently approach problems in design, analysis, and manufacturing. But the definition of "good methodology" has changed with the advent in engineering of computer-aided design (CAD). Curriculums need to be updated so that students learn methods appropriate for the environments in which they will work. Though interest in incorporating computer aids into courses is high, a number of challenges are encountered in implementing such changes. Teaching CAD tools takes time;what can be left out of courses to make room? Required computing resources are costly to acquire and to maintain. Faculty members, especially those having less computer sophistication, are sometimes hesitant to take on the additional burden of making their classes dependent on CAD. Several years ago, the circuits and computer hardware courses at the University of Michigan's Department of Electrical engineering and computerscience were restructured. A uniform set of electronic design automation (EDA) tools was incorporated, beginning early in the undergraduate curriculum. The ability to teach good engineering in the Department has been significantly strengthened by these changes. This article describes the program and the details which have made it successful. They include: using a consistent set of well-supported commercial tools throughout the curriculum;providing adequate computing resources through a tuition surcharge for engineering students;and offering department-wide support through CAD short courses and consulting hours.
This paper provides an overview of significant developments in computerscience and engineering education with discussions on curriculum development, continuing education, and certification. Forecasts of industry need...
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This paper provides an overview of significant developments in computerscience and engineering education with discussions on curriculum development, continuing education, and certification. Forecasts of industry needs in the 1980's for computer professionals are included, together with the trends in curriculum developments they may auger.
This article describes the approach to promote project-based learning and interdisciplinarity within established engineering undergraduate programs at the University of Brasilia. The implementation process and some re...
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This paper discusses manufacturing related educational and research programs in the School of engineering and computerscience (SECS) at Oakland University, a Michigan institution located some thirty miles north of De...
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Anomaly detection(AD) has been extensively studied and applied across various scenarios in recent years. However, gaps remain between the current performance and the desired recognition accuracy required for practical...
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Anomaly detection(AD) has been extensively studied and applied across various scenarios in recent years. However, gaps remain between the current performance and the desired recognition accuracy required for practical *** paper analyzes two fundamental failure cases in the baseline AD model and identifies key reasons that limit the recognition accuracy of existing approaches. Specifically, by Case-1, we found that the main reason detrimental to current AD methods is that the inputs to the recovery model contain a large number of detailed features to be recovered, which leads to the normal/abnormal area has not/has been recovered into its original state. By Case-2, we surprisingly found that the abnormal area that cannot be recognized in image-level representations can be easily recognized in the feature-level representation. Based on the above observations, we propose a novel recover-then-discriminate(ReDi) framework for *** takes a self-generated feature map(e.g., histogram of oriented gradients) and a selected prompted image as explicit input information to address the identified in Case-1. Additionally, a feature-level discriminative network is introduced to amplify abnormal differences between the recovered and input representations. Extensive experiments on two widely used yet challenging AD datasets demonstrate that ReDi achieves state-of-the-art recognition accuracy.
This short review does not permit a detailed description of the work being carried out but it may indicate that in writing programs of this kind, students learn how to overcome some of the difficulties faced by design...
In order to support query-based learning, this research focuses on the applications of an AI tool named *** in the instruction of computerscience and engineering students in Structured Query Language (SQL). As the fo...
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Facial recognition systems on learning platforms like Moodle enable fast and efficient evaluation, automating the detection of impersonation in online exams. This project implements a Moodle plugin that performs facia...
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