Research on Training Mode of High-Level Innovative Talents in Computer Science in Colleges

被引：4

作者：

Sun Caiyun ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Nanjing 210016, Jiangsu, Peoples R China

来源：

2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷

关键词：

Possibility theory; Fuzzy inference systems; Pattern recognition; Target classification; Bayesian; Conditional probability; Likelihood;

D O I：

10.1016/j.proeng.2012.01.384

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The quality of talents training is the fundamental for universities; the information age provokes an urgent need for a large number of high-level innovative talents in computer science. Whether it is possible to train high-level innovative talents, training mode is essential. After careful analysis on the current status of computer training mode in our colleges and universities, this paper states out several problems remained. And then this paper proposes a new training mode focuses on innovation, which can be applied in practice. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology.

引用

页码：2749 / 2753

页数：5