TEACHING METHOD REFORM OF PYTHON LANGUAGE PROGRAMMING COURSE BASED ON MINIMUM KNOWLEDGE SETS, 181-186.

Xiaoyan Kui, Weiguo Liu, Kehua Guo, Jiazhi Xia, and Huakun Du

References

  1. [1] M. Pastell, Teaching instrumentation and data analysis using python, Cigr-Ageng 2016, Int. Conf. Agricultural Engineering, Aarhus, Denmark, 2016.
  2. [2] E. Mészárosová, Python and teaching programming at upper secondary schools, Int. Conf. on Information and Communication Technologies in Education, Qingdao, China, 2015.
  3. [3] H.C. Hill, B. Rowan, and D.L. Ball, Effects of teachers’ mathematical knowledge for teaching on student achievement, Journal of American Educational Research, 42(2), 2005, 371–406.
  4. [4] W.W. Porter, C.R. Graham, K.A. Spring, et al., Blended learning in higher education: Institutional adoption and implementation, Computer & Education, 75(3), 2014, 185–195.
  5. [5] H. Chen, W. Chung, Y. Qin, et al., Crime data mining: An overview and case studies, DG.O Int. Conf. on Digital Government Research, Boston, MA, 2003.
  6. [6] Y. Kali, Designing effective visualizations for elementary school science, Elementary School Journal, 109(2), 2008, 181–198.
  7. [7] Z. Chen and Y. Zhang, Output feedback stabilization of a class of uncertain nonaffine nonlinear systems, Asian Journal of Control, 17(5), 2015, 1984–1991.
  8. [8] H. Wang, X. Cheng, Y. Li, and C. Wang, Optimal iterative learning control for general nonlinear systems with uncertain parameters, Control and Intelligent Systems, 43(1), 2015, 50–55.
  9. [9] D. Luo, W. Xu, and S. Wu, UAV formation flight control and formation switch strategy, Control and Intelligent Systems, 42, 2014, 54.
  10. [10] C.Y. Lai, X. Cheng, and T.H. Lee, Input–output transition models for discrete-time switched linear and nonlinear systems, Control and Intelligent Systems, 39(1), 2011, 47–59.

Important Links:

Go Back