Abstract
Ability to solve realistic problems in chemical big data, the CDIO model inherits and develops the concept of the significant reform of engineering education in Europe and the United States for more than 20 years, and nearly 40 universities in China have become the demonstration university of China's CDIO engineering education model. China CDIO Engineering Education Model has officially accredited Shenyang University of Chemical Technology's Computer Science Technology College in 2020. This article is a review of Shenyang University of Chemical Technology's Computer Science Technology College in the process of China's CDIO Engineering Education Model Certification. Universal experience with CDIO engineering education has shown that CDIO standards not only contribute to enhancing the quality of education but also provide an opportunity to improve the quality of engineering education. A good foundation is laid for the systematic development of education. To this end, we introduced the CDIO engineering education model into the Shenyang University of Chemical Technology's big data analytics and applications, and in the design of pragmatic course teaching. We apply the CDIO concept to the human workforce training program, course system construction for chemistry majors, and faculty of Computer Science Technology majors. A series of investigations and practices have been carried out. To address the problem of offering big data analytics and applications courses for chemistry students, we introduce the CDIO engineering education model into the content, teaching methods, and teacher preparation are all aspects of this project. We have given a "problem-oriented" for both theoretical teaching and practical teaching, considering the learning situation of chemistry students. Based learning with an inspiring interactive theoretical teaching method, "result-oriented" practical teaching mode, and project design-oriented, students learn professional knowledge and engineering thinking through practical engineering projects and improve their engineering awareness and practical skills. Finally, through the combination of theory and practice, chemistry majors can understand the theories and methods of big data analysis and applications, as well as the principles and methods of big data analysis and processing.
Keywords: CDIO, engineering education, big data analytics and applications, chemistry majors, talent training mode
Keywords
CDIO, engineering education big data analytics and applications, chemistry majors, talent training mode
References
- Barbosa, L., & Freire, J. (2007, May). An adaptive crawler for locating hidden-web entry points. In Proceedings of the 16th international conference on World Wide Web (pp. 441-450).
- Bento, A. P., Gaulton, A., Hersey, A., Bellis, L. J., Chambers, J., Davies, M., ... & Nowotka, M. (2014). The ChEMBL bioactivity database: an update. Nucleic acids research, 42(D1), D1083-D1090.
Abstract
References
- Barbosa, L., & Freire, J. (2007, May). An adaptive crawler for locating hidden-web entry points. In Proceedings of the 16th international conference on World Wide Web (pp. 441-450).
- Bento, A. P., Gaulton, A., Hersey, A., Bellis, L. J., Chambers, J., Davies, M., ... & Nowotka, M. (2014). The ChEMBL bioactivity database: an update. Nucleic acids research, 42(D1), D1083-D1090.
Details
| Primary Language | English |
|---|---|
| Subjects | Other Fields of Education |
| Journal Section | Articles |
| Authors | |
| Publication Date | January 10, 2021 |
| Submission Date | October 4, 2020 |
| Published in Issue | Year 2020 |
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