在布拉格CTU测量系电气工程学院,将实践和基于模拟的方法整合到测量技术的电子电路设计教学中

IF 5.6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jan Holub, Jakub Svatos, Josef Vedral
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引用次数: 0

摘要

本文主要研究布拉格捷克工业大学电气工程学院测量系模拟和模数电子电路的创新教学方法。该方法集成了单一用途的功能单元、商业上可用的教育套件、虚拟仪器系统和仿真软件。通过将实际电路实现与虚拟分析相结合,学生可以全面了解电路设计和测量,获得理论知识和实践技能。本文还以学生调查的见解为依据,研究了本科生和硕士生在模拟任务和实际任务之间的平衡。这种方法在实验课上被证明是非常有效的,培养了学生更深层次的参与和理解。过去几年的统计成功率和积极的学生调查反馈强调了这种方法的重要教育价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating hands-on and simulation-based approaches for teaching electronic circuit design in measurement technology at the faculty of electrical engineering, department of measurement, CTU in Prague
This paper focuses on innovative teaching methods for analog and analog-to-digital electronic circuits at the Department of Measurement, Faculty of Electrical Engineering, Czech Technical University in Prague. The approach integrates single-purpose functional units, commercially available educational kits, virtual instrumentation systems, and simulation software. By combining practical circuit implementation with virtual analysis, students develop a comprehensive understanding of circuit design and measurement, gaining both theoretical knowledge and hands-on skills. The paper also examines the balance between simulation-based and practical tasks for bachelor’s and master’s students, supported by insights from student surveys. The methodology has proven highly effective in laboratory classes, fostering deeper student engagement and understanding. Statistical success rates and positive student survey feedback over the past several years underscore the significant educational value of this approach.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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