基于深度学习的土木建筑类专业教学质量评价系统设计

Design of Teaching Quality Evaluation System for Civil Engineering and Architecture Specialty Based on Deep Learning

为对土木建筑类专业的教学质量进行准确评价,本文及时改进教学方法并设计了一种基于深度学习的土木建筑类专业教学质量评价系统。在硬件部分,设计了AMD处理器与C310控制器。在软件部分:建立土木建筑类专业教学质量数据采集模块,对教学质量数据进行采集;再基于深度学习进行教学质量数据的处理,减少不确定性因素对相关数据的影响;设计教学质量评价数据库,缩短教学质量评价数据的查找时间,至此,实现土木建筑类专业教学质量的评价。最后,采用系统测试的方式,证明了本文设计系统的教学质量评价效果更好。

In order to accurately evaluate the teaching quality of civil engineering and construction majors, this paper timely improves the teaching method and designs a deep learning based teaching quality evaluation system for civil engineering and construction majors. In the hardware part, the AMD processor and C310 controller are designed. In the software part, the teaching quality data collection module of civil engineering and construction majors is established to collect teaching quality data;then the processing of teaching quality data based on deep learning is carried out to reduce the influence of uncertainty factors on relevant data;the database of teaching quality evaluation is designed to shorten the finding time of teaching quality evaluation data, so that the evaluation of teaching quality of civil engineering and construction majors is realized. Finally, the system test is used to prove that the teaching quality evaluation of the system designed in this paper is better.