Abstract
Research on linear algebra visual teaching for independent college students has been made according to the target of independent college education and characteristic of students.By case teaching, make linear algebra’s concept, theorem, application and Exercise vivid and interesting. Revolution on the course content and method of instruction from dull and abstract to visual and intuitive has been made to develop the students’ mathematical literacy and ability on turning knowledge into practical use.
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References
Gonzalez, R., Woods, R.E., Eddins, S.L.: Digital image processing. Publishing house of Electronic Industry (2005)
Lenon, S.J.: Lenon. In: Linear Algebra with Applications, 7th edn. China Machine Press, Beijing (2007)
Lay, D.C.: Linear Algebra and its Applications, 3rd edn. Posts & Telecom Press, Beijing (2007)
Huang, T.Z., Cheng, X.Y.: Linear Algebra. Higher Education Press (2009)
Wang, L.: Linear algebra practical tutorial Based on MATLAB. Science Press, Beijing (2008)
Chen, H.S.: Linear algebra for engineering. Publishing house of Electronic Industry (2007)
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© 2011 Springer-Verlag Berlin Heidelberg
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Yao, Q., Gao, D.J. (2011). Case Based Linear Algebra Visual Teaching Based on Data Analysis. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23339-5_30
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DOI: https://doi.org/10.1007/978-3-642-23339-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23338-8
Online ISBN: 978-3-642-23339-5
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