Reflections on Case Studies in Linear Algebra and Python Programming from an Interdisciplinary Perspective

学科的交叉与融合是培养符合经济社会发展所需复合型人才的重要手段,高校作为人才培养的重要基地,是学科交叉融合的重要推动力量。学科交叉的深入融合的有效实施,得益于学生兴趣的激发与引导。在计算机专业学生教学过程中,由于学生有一定的编程基础,为培养学生对数学学习的兴趣。我们将线性代数与编程Python结合,促进学生从知识到能力的提升,进而激发学生学习动力与探索欲。Interdisciplinary integration is an important means to cultivate compound talents that meet the needs of economic and social development. Colleges, as an important base for talent training, are an important driving force for interdisciplinary integration. The effective implementation of the in-depth integration of interdisciplinary disciplines benefits from the stimulation and guidance of students’ interests. Because computer students have a certain programming foundation, in order to cultivate students’ interest in mathematics learning, we combine linear algebra with Python to promote the improvement of students’ knowledge and ability, meanwhile stimulating students’ learning motivation and desire to explore.

Authors

Publication Details

Journal
Advances in Applied Mathematics
Published
2025-01-01
DOI
https://doi.org/10.12677/aam.2025.146321
Citations
2
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reflections on Case Studies in Linear Algebra and Python Programming from an Interdisciplinary Perspective

恒 俞
2 citations
Advances in Applied Mathematics
Computational Physics and Python Applications
4.96
article

Reflections on Case Studies in Linear Algebra and Python Programming from an Interdisciplinary Perspective

恒 俞
article en
2 citations

Abstract

学科的交叉与融合是培养符合经济社会发展所需复合型人才的重要手段,高校作为人才培养的重要基地,是学科交叉融合的重要推动力量。学科交叉的深入融合的有效实施,得益于学生兴趣的激发与引导。在计算机专业学生教学过程中,由于学生有一定的编程基础,为培养学生对数学学习的兴趣。我们将线性代数与编程Python结合,促进学生从知识到能力的提升,进而激发学生学习动力与探索欲。Interdisciplinary integration is an important means to cultivate compound talents that meet the needs of economic and social development. Colleges, as an important base for talent training, are an important driving force for interdisciplinary integration. The effective implementation of the in-depth integration of interdisciplinary disciplines benefits from the stimulation and guidance of students’ interests. Because computer students have a certain programming foundation, in order to cultivate students’ interest in mathematics learning, we combine linear algebra with Python to promote the improvement of students’ knowledge and ability, meanwhile stimulating students’ learning motivation and desire to explore.

Advances in Applied MathematicsVol. 14(06)
Quality Education
Openalex Percentile: Top 5%
Computational Physics and Python Applications
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.