DocumentCode :
123507
Title :
Research on teaching reform of computer courses for mathematics major in the local universities
Author :
Shufen Zhang ; Xuebin Chen
Author_Institution :
Coll. of Sci., Hebei United Univ., Tangshan, China
fYear :
2014
fDate :
22-24 Aug. 2014
Firstpage :
889
Lastpage :
893
Abstract :
Recruiting students according to classification is a new pattern of recruiting and cultivating student, and is an important step of deepening teaching reform. Our college began to recruit students according to mathematics classification from 2010. In order to adapt to the new cultivating pattern and cultivating target, we adjusted the teaching plan of mathematics major, increased class hours of basic courses, and greatly reduced class hours of professional compulsory courses, especially computer courses. Therefore, it is necessary to reform computer teaching. This paper discusses the reform of computer teaching towards mathematics major students from four respects: course integration, teaching material construction, teaching mode and examination ways, and points out that we should give full play to the professional advantages, and integrate into mathematical knowledge and mathematical thinking in computer teaching, to embody characteristics of mathematics major.
Keywords :
computer science education; educational courses; educational institutions; mathematics computing; teaching; computer courses; computer teaching reform; course integration; cultivating pattern; cultivating target; examination ways; local universities; mathematical knowledge; mathematical thinking; mathematics classification; mathematics major; professional compulsory courses; teaching material construction; teaching mode; Computers; Education; MATLAB; Programming; Solids; Testing; course integration; examination way; teaching material construction; teaching mode;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
Type :
conf
DOI :
10.1109/ICCSE.2014.6926590
Filename :
6926590
Link To Document :
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