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Research on Curriculum Design of Data Mining in Different Majors

Author(s)

Yong Luo1, Yingyang Chen2, Junwei Gan1*

Affiliation(s)

1School of Economics and Management, Sichuan Tourism University, Chengdu, Sichuan, China 2Innovation and Entrepreneurship Institute, Sichuan Tourism University, Chengdu, Sichuan, China *Corresponding Author.

Abstract

With the increasing attention paid to the application value of big data, data mining has become an important major course not only in big data, computer and information technology, but also in most majors in colleges and universities. This course involves the explanation of classic algorithms of data mining as well as the application of classical algorithms of data mining, so it usually has both theoretical and practical hours in the composition of teaching form. Because of the differences in the knowledge structure of students in different majors, there should be differences in the theoretical teaching and practical teaching design of data mining courses among different majors. The teaching content should be selected according to the characteristics and needs of students in different majors, and should also consider the development and trends of big data technology. In addition, in order to improve the teaching quality and effectiveness of data mining courses, it is also necessary to use modern teaching methods and technologies to support teaching, such as online teaching resources, flipped classroom teaching, etc. In short, it is necessary to carry out targeted teaching design for data mining courses in different majors to match the basic situation of students in different majors, ensure better teaching effect and play a better role in different fields of specialization.

Keywords

Data Mining; Theory Teaching; Practical Teaching

References

[1] Ding Yitao. Exploration of Data Mining Course Reform in the Era of Big Data. Technology Wind, 2021(27): 27-29. [2]LAI Jian-hui, WANG Yang, LUO Tian-tian, LIU Di, CHEN Yan-yan.Discussion on the Training System of Big Data Mining and Application Ability for Traffic Engineering Major. Education and Teaching Forum, 2021(28): 169-172. [3]LI Ting, ZHANG Ji-zhou. Data Mining Course Construction Research for Undergraduate in the Big Data Environment. Educational Modernization, 2017(40): 230-232. [4]Yang Xiuzhang, Wu Shuai, Xia Huan, Zhou Jisong, Yu Xiaomin, Fan Yufeng.Research on teaching reform for the data mining and analysis course in big data era.Computer Era, 2021(9):107-111. [5] Hailin Li .Teaching exploration of data mining in big data environment. Computer Era, 2014(2):54-55. [6] REN He, XIAOZhengguang, SHAO Zeguo, LI Ping, LING Chen. Exploration of curriculum design of“HealthDataMining”of Big Data Specialty in medical colleges and universities. CHINA EDICALEDUCATION TECHNOLOGY, 2023, 37(6): 700-704+714. [7] Qin Huani. Exploring Multidimensional Teaching Reform of Data Analysis and Mining Courses. Journal of Higher Education, 2023(32): 111-115. [8] Wu Jinmeng, Ma Lei, Zhang Yaozong.Reform and Optimization of the Teaching Mode for the Course of Data Mining and Big Data Analysis[J]. The Guide of Science & Education,2023(14):95-97. [9] Chen Yanan.Research on Improving the Quality of Secondary Vocational Mathematics Classroom Teaching in the Context of Big Data.Mathematics Learning and Research, 2021(35): 98-100. [10] CAO Yuan-nan, XU Wei-xia. Discussion on the Teaching of Data Mining. Education and Teaching Forum, 2022(4):172-175.