Computer-aided Linear Algebra Course on Jupyter-Python Notebook for Engineering Undergraduates. Issue 1 (February 2021)

• Record Type: Journal Article
• Authors: Tang, Chang
• Is Part Of: Journal of physics. Volume 1815:Issue 1(2021)
• Publication Date: 2021-02
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1815/1/012004
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: As an important basic course, linear algebra plays critical role for engineering undergraduates. However, traditional purely theoretical explanation makes students difficult to deeply understand the essence of linear algebra. In this paper, we introduce a new form of computer-aided linear algebra course with the application of a set of Python computer programs implemented on the Jupyter notebooks platform, and also aim to improve the development of innovative teaching methodologies for this course. In addition, in order to help students understand the intrinsic physical meanings of some concepts, we design some visual examples which demonstrate the practical applications of linear algebra. A serious of user-friendly Jupyter notebooks workflows developed in this work allow teachers–students to intuitively teach and learn theoretical concepts, description of practical problems, programming code, and simulation results with a visual output. The designed environment can help teachers/students to implement their simulations in Python language.