Guiding Master Students in Computer Science to Value and Strive to Learn Mathematics through the Text Information Processing and Machine Translation Teaching

Honglin Wu; Ying Liu

doi:10.54097/xez8an54

Authors

Honglin Wu
Ying Liu

DOI:

https://doi.org/10.54097/xez8an54

Keywords:

Mathematics, Master Students, Computer Science

Abstract

Mathematics plays a crucial auxiliary role in the research work of master's students. Currently, a significant portion of master's students have received insufficient mathematical training during their undergraduate studies. The course "Text Information Processing and Machine Translation" is a required course for postgraduate students majoring in computer science at Northeastern University. In the past few years of teaching this course, we have integrated content to guide master's students to attach importance to mathematics and strive to learn it. This paper outlines the content related to guiding master's students in computer science to strive in learning mathematics within the course "Text Information Processing and Machine Translation." We aim to provide an opportunity for master's students, who may not have had sufficient exposure to mathematics during their undergraduate studies, to reassess and place greater importance on mathematics learning. Several years of practice have shown that our approach has been effective.

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