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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">erd</journal-id><journal-title-group><journal-title>Education Reform and Development</journal-title></journal-title-group><issn>2652-5364</issn><eissn>2652-5372</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/erd.v8i8.15394</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Exploration of Industry Case Teaching in Mathematics Curriculum Driven by the “Data-Computation-Intelligence” Ternary Thinking </title><url>https://artdesignp.com/journal/erd/8/8/10.26689/erd.v8i8.15394</url><author>WangXin,ChenMan,SunYan</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>8</volume><issue>8</issue><history><date date-type="pub"><published-time>2026-09-17</published-time></date></history><abstract>With the rapid development of artificial intelligence technology, the demand for high-level interdisciplinary talents with mathematical literacy, computational ability, and intelligent thinking is becoming increasingly urgent. Graduate mathematics education, as the core link in cultivating high-end talents, is facing the dilemma of disconnection between theoretical teaching and industrial practice, and the insufficient integration of mathematical knowledge and practical application scenarios. Aiming at this problem, this paper proposes a construction path of industry-university integration resources for mathematics courses driven by the "Data-Computation-Intelligence" ternary thinking, taking advanced mathematical statistics as the breakthrough point. By integrating a typical industrial application case&amp;mdash;failure risk analysis of autonomous driving vehicle visual recognition systems under extreme weather into the teaching process, the paper constructs a resource system integrating theoretical knowledge, industrial data, computational tools, and intelligent applications, and provides a feasible reference for the reform of graduate mathematics education and the construction of industry-university integration resources.</abstract><keywords>Data-computation-intelligence, Ternary thinking, Mathematics courses, Industry-university integration</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]&amp;nbsp;&amp;nbsp; Xiao ZH, Huang SC, 2024, Construction of the Applied Mathematical Statistics in High Quality for Postgraduates Based on the Era of Artificial Intelligence. College Mathematics, 40(2): 41&amp;ndash;46.
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