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面向科研训练的算法课程教学模式

Scientific Training Oriented Algorithm Course Teaching Scheme

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【作者】 张立臣

【Author】 ZHANG Li-chen;Key Laboratory of Modern Teaching Technology, Ministry of Education;Engineering Laboratory of Teaching Information Technology of Shaanxi Province;School of Computer Science, Shaanxi Normal University;

【机构】 现代教学技术教育部重点实验室陕西省教学信息技术工程实验室陕西师范大学计算机科学学院

【摘要】 在本科课程中开展规范的科研训练是培养学生基本科研素质的途径之一。以算法课程中的0-1背包问题为例,在问题建模和算法设计的基础上,通过编程框架和测试数据,将学生工作重心集中到算法核心代码实现和实验结果分析上,通过矢量图绘制模板,训练学生绘制矢量图和分析实验结果的能力。通过在算法课程中开展科研训练,达到提升学生科研能力的目标,也为算法课程教学改革提供新思路。

【Abstract】 Currently, it is a basic approach to train undergraduate students’ scientific research ability by undertaking standardized scientific training.Taking 0-1 Knapsack problem in Algorithm curriculum as an example, on the basis of the problem modelling and algorithm design, this paper provides programming skeleton frame and also testing data, which could concentrate students’ focus on the implementation of core algorithm code and the analysis of simulation results. Then, by the provided vector graph template, the ability that students draw vector graph and analyze the results could be trained. By carrying out scientific training in Algorithm curriculum, the proposed teaching scheme could promote students’ scientific research ability, and also provides a novel idea for algorithm curriculum reform.

【基金】 陕西师范大学2019年金课建设项目(算法设计与分析)
  • 【文献出处】 现代计算机 ,Modern Computer , 编辑部邮箱 ,2020年32期
  • 【分类号】TP301.6-4;G642
  • 【被引频次】1
  • 【下载频次】23
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