主成分分析法在学生成绩分析中的应用

本文从大学四年成绩的真实数据入手,利用主成分分析法,建立了数学模型,然后给出各主成分的得分函数,并结合成绩进行分析,最后得出影响成绩的主要课程,并验证了学校实行的学分绩是合理的。该研究结果为今后的教学研究和管理提供了科学的依据。     

大学生生活方式的服装品牌定位之研究

本文通过针对大学生这一消费群体的生活方式进行研究:族群定位、心理与诉求嗜好的生活观念、购物与理财的消费观念、媒体与偶像偏好的传媒观念,来构架不同消费者生活方式,借以细分出不同的消费群体,可以让企业在选择目标时。对他们的偏好有更深入的了解,并规划针对性特征进行产品定位,选择针对性的营销通路和媒体广告。这样才能抓住消费者的行为动态来掌握未来市场的走向,促进品牌长久发展。     

Developing Sustainable Research Networks in Graduate Education

The traditional modes of knowledge production and circulation in academia are (slowly but surely) shifting from the hierarchical, top-down systems of print to the distributed, bottom-up systems of the Web. It is in the context of these shifts and the rapid development of Web 2.0 tools and methods that we argue for a concomitant shift in the predominant practices of graduate education in rhetoric—particularly for students of digital rhetoric. In this article, we describe the development of a research network that combines the power of digital networking with the collaborative facilitation offered by communities of practice and consider how research networks can be grown and sustained as part of the graduate education of technorhetoricians.     

基于问题导向的在线教学研究

本文以“电力电子技术基础”的在线教学为例,开展以学生为中心的基于问题导向的教学方法优化实践。教学过程中,结合学校教师教学发展中心组织的EMI教师培训,对教学计划、教学重点进行了大力度的改进;同时,结合过程中与学生的交互、期末学生的反馈以及同行专家的建议,对本次的优化改进进行了教学分析、分析、反思和总结,以期不断提升本课程的教学质量,并为其它工科类课程的教学优化提供借鉴。     

学生信息管理系统

设计了学生信息管理系统来解决学校学生信息管理方面不完善问题,此系统分为基本信息管理、疫苗信息管理和位置管理三个模块,通过收集学生的基本信息,疫苗详细信息和学生位置变化信息,提高学校收集管理学生信息的时间效率以及减少统计错误等问题。     

计算机系列研究生暑期学校办学体会

阐述了暑期学校的办学基本理念,介绍具体的办学方案和经验。通过分析问卷调查结果表明,该次办学收到了良好的教学效果,为今后继续打造暑期学校品牌提供了依据与参考。     

同行导师体验报告(英文)

Students at the University of Derby are required to complete a year in industry as part of their Bachelor of Science degrees.This is a daunting prospect for some of them,and they can be reluctant to engage in the process of finding a placement position.As part of a second year module,students seeking placement are paired with students already on placement in a mentee/mentor relationship to support the second year students in their search for an internship.This arrangement helps the mentees by introducing them to potential role models close to their experience,receiving encouragement from peers and the inculcation of belief that it is possible to find a placement.The mentors also benefit from a recognition of how much they have learnt.However,there are difficulties in establishing and managing the scheme which should be recognised.This paper reports our experience over the last three years.     

A constraint programming-based solution approach for medical resident scheduling problems

Persistent calls come from within the graduate medical education community and from external sources for regulating the resident duty hours in order to meet the obligations about the quality of resident education, the well-being of residents themselves, and the quality of patient care services. The report of the Accreditation Council for Graduate Medical Education (ACGME) proposes common program requirements for resident hours. In this paper, we first develop a mixed-integer programming model for scheduling residents’ duty hours considering the on-call night, day-off, rest period, and total work-hour ACGME regulations as well as the demand coverage requirements of the residency program. Subsequently, we propose a column generation model that consists of a master problem and an auxiliary problem. The master problem finds a configuration of individual schedules that minimizes the sum of deviations from the desired service levels for the day and night periods. The formulation of this problem is possible by representing the feasible schedules using column variables, whereas the auxiliary problem finds the whole set of feasible schedules using constraint programming. The proposed approach has been tested on a series of problems using real data obtained from a hospital. The results indicate that high-quality schedules can be obtained within a few seconds.     

高校区域大学生微博身份的精确识别方法

对高校大学生微博身份进行精确识别有利于尽早的定位大学生网络谣言、高校舆情事件的起源,为高校辅导员及相关管理部门采取线下补救措施、及时处理突发事件争取时间.以学校提供的学生信息资料为背景,让挖掘到的大学生微博信息尽可能地去匹配已有的背景信息,从而识别高校区域大学生微博帐号.分别采用3种阈值进行实验分析,证明这种循环匹配的方法可以获得较好的识别效果.