Work place: Department of Computer Science and Technology, Anhui University of Finance and Economics, China
E-mail: ybdxgxy13529@163.com
Website:
Research Interests: Data Science, Data Processing, Machine Learning
Biography
Dayou Jiang, he is now a full-time teacher in the Department of Computer Science of China’s Anhui University of Finance and Economics. He received a Ph.D. degree in copyright protection from Sangmyung University in 2020. He re-ceived B.S. and M.S. degrees in Engineering College from China’s YanBian University in 2012 and 2016, respectively. He is now current research interests include multimedia processing, machine learning, and data science.
By Dayou Jiang
DOI: https://doi.org/10.5815/ijeme.2024.01.03, Pub. Date: 8 Feb. 2024
This paper investigates teaching methods that leverage programming techniques to strengthen the understanding of partial ordering relations. Partial orders are vital in diverse domains, such as mathematics and economics. A comprehensive teaching framework is presented in this paper, incorporating standard programming languages to instruct partial order relations effectively. The approach integrates theoretical concepts, practical illustrations, and interactive programming exercises to enhance students' comprehension and application of partial order relations. Furthermore, the evaluation of teaching effectiveness and potential implications for computer science and mathematics education are discussed.
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