Construction of Python programming case library for artificial intelligence under the background of new engineering disciplines

Python language has a powerful artificial intelligence algorithm library. This study adopts a project driven approach and fully utilizes graphical visualization programming tools such as Raptor and Orange3 to assist teaching. At the same time, with the help of large models to assist programming, the cultivation of mathematical thinking, logical thinking, AI thinking, engineering thinking, and programming training are integrated into Python language course teaching in a step-by-step and progressive manner, forming a robust teaching ecosystem. Under the innovative teaching mode, students have gained sufficient practical training through graphic visualization programming, large model assisted programming, Python program writing and debugging, etc., mastering the Python language and gaining intuitive understanding of engineering project development, and enabling them to have preliminary research and development capabilities for artificial intelligence.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1145/3724504.3724617
Primary Topic
Computational Physics and Python Applications
Type
article
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Construction of Python programming case library for artificial intelligence under the background of new engineering disciplines

Cheng Lv
Computational Physics and Python Applications
article

Construction of Python programming case library for artificial intelligence under the background of new engineering disciplines

Cheng Lv
article en

Abstract

Python language has a powerful artificial intelligence algorithm library. This study adopts a project driven approach and fully utilizes graphical visualization programming tools such as Raptor and Orange3 to assist teaching. At the same time, with the help of large models to assist programming, the cultivation of mathematical thinking, logical thinking, AI thinking, engineering thinking, and programming training are integrated into Python language course teaching in a step-by-step and progressive manner, forming a robust teaching ecosystem. Under the innovative teaching mode, students have gained sufficient practical training through graphic visualization programming, large model assisted programming, Python program writing and debugging, etc., mastering the Python language and gaining intuitive understanding of engineering project development, and enabling them to have preliminary research and development capabilities for artificial intelligence.

Beijing University of Civil Engineering and Architecture (CN)
Openalex Percentile: Top 73%
Computational Physics and Python Applications
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Construction of Python programming case library for artificial intelligence under the background of new engineering disciplines — Cheng Lv · (2024) | TGRS Research Map | TGRS