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Innovation and Practice of “1 + N” Compound Design Talents Training Model in Computer Networks: A Case Study of New Higher Education Group Co-founded Undergraduate Program

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1234))

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Abstract

With the progress of society and the development of science and technology, people are gradually entering the computer age. The advent of the computer age provides unprecedented entrepreneurial opportunities for modern college students, as well as opportunities to build models for the development of composite design human resources. Today, with the rapid development of science and technology, the relationship between computer science and technology and other industries is getting closer. As a modern university student, we must thoroughly study the relevant knowledge of the Internet and cultivate our own algorithmic thinking to lay a solid foundation for entrepreneurship and work after graduation. Based on the actual situation, this article introduces the training model of composite design talents, and explores how to practice the training model of composite talents in teaching. The purpose of this article is to conduct innovation and practice research on the “1 + N” composite design talent training model under computer networks. In terms of methods, we mainly cultivate the design ability of students by strengthening the teaching of basic professional knowledge, and train composite design talents in design competitions, and promote the three aspects of the school-enterprise cooperative teaching model to change the original teaching model. In terms of experiments, it is mainly taught by a class of the undergraduate major co-constructed by the New Higher Education Group, and it is tested at the end of the class time. The exam is over and the students are surveyed. It was found that the passing rate was 90%, and the overall score was good, of which 10% failed, 25% passed, 55% good, and 10% excellent. It shows that the overall teaching effect is worthy of admiration. More than 60% of people said they were satisfied with the teaching mode, and only 18% said they were not satisfied with the teaching mode, indicating that the “1 + N” composite design talent training model is feasible under the support of this data.

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References

  1. Arslan, F.N., Azak, H.: Application of central composite design for the optimization of reverse-phase HPLC/DAD separation of the cis- and trans- isomers of long-chain unsaturated fatty acids. Food Anal. Methods, 11(1), 1–17 (2017)

    Google Scholar 

  2. Sun, Z., Wang, C., Niu, X.: Design optimization method for composite components based on moment reliability-sensitivity criteria. Int. J. Turbo Jet-Engines 34(3), 233–244 (2017)

    Article  Google Scholar 

  3. Ye, Y., We, N., Zhang, X.: An optimized design for compact masked AES S-Box based on composite field and common subexpression elimination algorithm. J. Circ. Sys. Comput. 27(11), 1850171 (2018)

    Article  Google Scholar 

  4. Boudechiche, N., Yazid, H., Trari, M.: Valorization of Crataegus azarolus stones for the removal of textile anionic dye by central composite rotatable design using cubic model: optimization, isotherm, and kinetic studies. Environ. Sci. Pollut. Res. Int. 24(62), 19609–19623 (2017)

    Article  Google Scholar 

  5. Syam, B., Sebayang, A., Sebayang, S.: Design and production of stopper made of concrete foam composite used for open channel conduit cover and parking bumper. IOP Conf. 126(1), 012053 (2018)

    Google Scholar 

  6. Kinashi, K., Iwata, T., Tsuchida, H.: Composite resin dosimeters: a new concept and design for a fibrous color dosimeter. ACS Appl. Mater. Interfaces. 10(14), 11926 (2018)

    Article  Google Scholar 

  7. Mostafavi, A., Rezvanipour, H., Afzali, D., et al.: Central composite design for optimization and formulation of desulphurization of iron ore concentrate using atmospheric leaching process. J. Iron. Steel Res. Int. 25(1), 1–8 (2018)

    Article  Google Scholar 

  8. Zeng, B., Quan, L., Tong, J., et al.: A new approach based on central composite design and multi-objective optimization for design of a roller-mill mechanism in a maize stubble harvester. Int. J. Adv. Manuf. Technol. 94(5), 1–14 (2017)

    Google Scholar 

  9. Schmitt, M.P., Schreiber, J.M., Rai, A.K.: Development and optimization of tailored composite TBC design architectures for improved erosion durability. J. Therm. Spray Technol. 26(8), 1–14 (2017)

    Google Scholar 

  10. Kulkarni, P.V., Sawant, P.J., Kulkarni, V.V.: Design and development of plane bending fatigue testing machine for composite material. Mater. Today Proc. 5(5), 11563–11568 (2018)

    Google Scholar 

  11. Xiao-Fang, H., Qing-Xiang, Y., Peng-Fei, G., et al.: Optimization of rice-washed water rinsing process technology for Atractylodis Macrocephalae Rhizoma by central composite design-response surface methodology. Chin. Tradit. Herbal Drugs 48(1), 109–113 (2017)

    Google Scholar 

  12. Ji, X., Niu, Y., Xu, Y.: Rational design of hierarchical SiO2@TiO2 composite with large internal void space for high-performance microwave absorption. Russ. J. Phys. Chem. 93(6), 1128–1132 (2019)

    Article  Google Scholar 

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Acknowledgements

Fund Construction: Innovation and practice of “1 + N” compound design talent training mode - take the undergraduate major jointly established by Gaoxin education group as an example No: 2019J0985.

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Correspondence to Yuanyuan Li .

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Li, Y. (2021). Innovation and Practice of “1 + N” Compound Design Talents Training Model in Computer Networks: A Case Study of New Higher Education Group Co-founded Undergraduate Program. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1234. Springer, Cham. https://doi.org/10.1007/978-3-030-51556-0_90

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