【摘 要】
:
The concept of “New Engineering” has put forward new challenges to the talents cultivation of universities. Due to some problems of the traditional Software Engineering curriculum, e.g. separated design at undergraduate-level and graduate-level courses, p
【机 构】
:
School of Software Engineering,Beijing Jiaotong University,Beijing 100044,China
论文部分内容阅读
The concept of “New Engineering” has put forward new challenges to the talents cultivation of universities. Due to some problems of the traditional Software Engineering curriculum, e.g. separated design at undergraduate-level and graduate-level courses, poor curriculum structure, lacking of industry characteristics. This paper proposes an integrated undergraduate-graduate education curriculum for Software Engineering Major, which is based on Software Engineering specialty knowledge system (C-SWEBOK) and focuses on the current national strategic demands. Additionally, the curriculum combines with the University\'s transportation characteristics, and fuses the discipline of Software Engineering and Intelligent Transportation. The multi-level curriculum designed in this paper is with reasonable structure, complete system, progressive content, and salient feature, which provides the strong support for cultivating high-qualified software talents in line with national strategies and industry needs.
其他文献
针对智能制造工程环境中移动机器人的自动避障问题,提出一种基于栅格地图的移动机器人速度势实时避障路径规划方法.利用栅格法二值化移动机器人的工作场景,从机器人中心出发向不同方向进行栅格搜索.基于障碍物对移动机器人有排斥作用以及目标点对机器人有吸引作用的思想,通过栅格数的累加计算机器人到障碍物之间的实时距离,并以此为参数,考虑障碍物的形状、最小安全距离等因素的影响来建立负的速度增量函数;以机器人当前位置与目标点的实时距离和角度为参数建立正向速度增量函数.进而在机器人运动学模型基础上,定义速度势函数来对移动机器人
Recently, Problem-Based Learning (PBL) has been regarded as a possible way towards effective educational changes in Chinese universities. However, problems have been exposed in the adoption of PBL, such as choosing effective PBL problems. The purpose of t
Recently, InE has been regarded as a popular education strategy in Chinese universities. However, problems have been exposed in the adoption of InE, for example, in InE courses and competitions. The purpose of this paper is to provide a possible solution
Under the premise of building an innovative country and cultivating innovative talents, teaching innovative learning, cultivating students\' innovative thinking and improving the teaching mode and curriculum form have already become one of the main dire
With the emergence of massive online courses, how to evaluate the quality of courses with different qualities to improve the discrimination between courses and recommend personalized online course learning resources for learners needs to be evaluated from
As major contemporary scientific, technological, economic, and social issues are highly comprehensive and interdisciplinary, society has entered a period of systematization and integration. The traditional education model of “discipline-centered” makes th
Taking the programming course as an example, a comprehensive solution for individualized and precise teaching has been proposed. Firstly, graded teaching strategy is performed. The students are divided into three groups according to their base of learning
股指价格时间序列受到长期和短期不同因素的影响,且具有非平稳、非线性等特点,传统计量模型的预测精度较低.为提高预测精度,一些研究将人工神经网络模型用于金融时间序列预测,取得了比传统计量模型更好的效果.提出了一种融合了HP滤波(Hodrick-Prescott Filter)和LSTM神经网络模型的股指价格预测模型,模型使用HP滤波将股指价格时间序列分解为长期趋势和短期波动,利用LSTM神经网络模型分别学习长期趋势和短期波动序列的特征,并分别进行长期趋势和短期波动预测,将预测结果融合得出股指价格预测结果.实验
The theme of CEISEE 2021 is“Software Engineering Education in the Post-Epidemic Internet Era: New Changes, New Technology, New Economy, and New Features”, especially the blooming of artificial intelligence, big data, cloud computing, block chain, IoT etc.
The practical teaching management system is an important factor to ensure the quality of teaching. The training of systematic thinking needs a systematic teaching system, and a systematic process is a gradual process and a standardized process. This paper