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A Brief Discussion on the Reform of Mathematics Teaching in Artificial Intelligence Majors - Taking Matrix Computation and Optimization as Examples

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Theoretical Computer Science (NCTCS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1693))

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Abstract

The Artificial Intelligence program is an engineering application program but involves deeper mathematical theory. Matrix Computation and Optimization belong to the core theoretical courses of AI majors. This paper discusses the inner connection between the two courses and the current teaching problems. In order to enable students to connect theory with practice, this paper proposes the organic integration of the two courses and proposes classroom teaching reform methods and practical teaching reform methods for the integrated course in order to improve the teaching quality of the classroom, mobilize students’ classroom enthusiasm, and cultivate students’ innovative thinking and teamwork ability. These methods are also inspiring for the teaching of other courses in artificial intelligence.

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Author information

Authors and Affiliations

  1. College of Electronic Information and Electrical Engineering, Changsha University, Changsha, China

    Miaomiao Li

  2. College of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, China

    Bo Liu

Authors
  1. Miaomiao Li
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  2. Bo Liu
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Correspondence to Miaomiao Li .

Editor information

Editors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Zhiping Cai

  2. Shanghai Jiao Tong University, Shanghai, China

    Yijia Chen

  3. Chinese Academy of Sciences, Beijing, China

    Jialin Zhang

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Li, M., Liu, B. (2022). A Brief Discussion on the Reform of Mathematics Teaching in Artificial Intelligence Majors - Taking Matrix Computation and Optimization as Examples. In: Cai, Z., Chen, Y., Zhang, J. (eds) Theoretical Computer Science. NCTCS 2022. Communications in Computer and Information Science, vol 1693. Springer, Singapore. https://doi.org/10.1007/978-981-19-8152-4_9

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  • DOI: https://doi.org/10.1007/978-981-19-8152-4_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8151-7

  • Online ISBN: 978-981-19-8152-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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