基于探究式学习的实训课程改革与实践

针对目前实训课程无法有效激发学生学习兴趣和培养学生学习主动性的问题,结合探究式学习的理念,阐述以学生为主体,以团队为载体,采用任务驱动法、"问题"式教学法和分组"PK"教学法展开实训课程改革。     

基于项目化教学的“C语言程序设计”课程改革

"C语言程序设计"是计算机专业的基础课程,对训练学生的抽象思维能力和解决实际问题的能力具有重要作用。文章介绍基于项目化教学的"C语言程序设计"课程改革的教学目标和实施方案,以哈尔滨师范大学计算机科学与技术专业的C语言课程改革实践为例,阐述如何实施基于项目化教学的课程改革。     

基于OBE理念的课程考核体系研究与实践

根据以学生为中心、以成果为导向的核心理念,针对传统课程教学无法有效支撑学生能力培养的问题,提出基于OBE理念的课程考核体系改革.以"数据库原理与应用"课程为例,重新设计了课程考核评价方案,实现学习环节全监控,加强了过程管理,以达到培养具备创新能力的计算机类高素质人才的目标.     

构建适合学生发展的机器人竞赛活动

"为了中华民族的复兴,为了每位学生的发展"是目前我国正在推进的新一轮基础教育课程改革所提出的核心理念,充分表明课程改革呼唤教育要适应"学生的发展".机器人竞赛活动把具体的竞赛项目设置为"有意义"的问题情境,将学生的学习置于"问题解决"的环境,学生在分析问题、解决问题的实践体验中获得发展.     

新时期高职办公自动化教学方法改革

针对传统高职"办公自动化"课程教学效果差,以办公自动化项目为任务驱动,改革高职"办公自动化"课程,对课程改革思路、教学方法、课程项目设计及项目实施等进行探讨,实践证明改革后的课程符合高职学生思想活跃、动手能力强的特点,大大提高了教学质量。     

程序设计课程中计算思维和应用能力培养问题研究

针对非计算机专业学生对程序设计课程重视程度不够,从概念到知识再到知识运用能力的过渡脱节等问题,以C语言课程为例,结合教学实践,对计算思维和应用能力培养相关问题进行深入探讨,提出以"培养普适思维"激发学生兴趣,以"成就感"维持学生良好学习状态,从原理性内容出发把握概念讲解的深度和广度,以及能力培养一切从设计出发等教学建议和教学方法,以期对非计算机专业程序设计课程改革有所启发。     

探讨"以学生为中心"AutoCAD课程教学

介绍了AutoCAD教学的特点,旧有模式下教学存在的问题,探讨"以学生为中心"积极利用网络及多媒体技术开展AutoCAD课程教学模式改革.     

非计算机专业“数据库技术”实验教学初探

"数据库技术"实验课程是非计算机专业学生难以掌握又缺乏学习兴趣的一门课程,但实验课程却是掌握数据库技术的重中之重。针对实验教学中遇到的问题及非计算机专业学生的特点,对实验教学改革进行探讨,提出方法以提高学生自主学习的意识及兴趣,从而提高学生在数据库方面的应用能力。     

以"学生为中心"的计算机基础课程改革探索

针对新工科背景下计算机基础课程改革的必要性,提出计算思维导向下的计算机基础课程改革的思想与实践途径,详细阐述"以学生为中心"的课程设计方案,并结合雨课堂/学习通在线工具介绍因材施教教学方法,最后说明教学效果并分析存在的问题.     

计算机导论课程的教学改革探索

从计算机专业导论课程的需求与定位入手,全面分析课程的现状与需要解决的问题;提出以虚拟实验方法辅助"教"和"学"的课程改革方案,阐述现阶段计算机专业导论课程的改革思路;以"字符编码与信息交换"虚拟实验教学为例,详细介绍如何用虚拟实验方法解决课程中的重点难点内容的教学问题,探索培养学生计算思维、系统思维能力的有效途径;针对虚拟实验方法助力计算机专业导论课程教学实践,总结出进一步深化课程教学改革的设想。     

基于空间模型和遗传算法的高校排课系统

如何实现具有人性化设计、能满足多约束条件的高效排课系统是高校教务工作的难点问题. 针对某高校排课问题, 提出基于空间模型的高校排课算法. 首先对比分析现行各排课算法的优劣性, 然后结合该校实际排课需要, 构建排课问题空间模型和约束模型以降低排课问题复杂度, 并在此基础上, 对遗传算法进行优化, 设计了基于遗传算法的排课算法, 提出了排课问题的解决方案. 实验结果表明, 该排课系统较好的解决了该校的排课问题, 为其他类似问题的解决提供了可借鉴经验.     

优化蚁群算法在排课中的应用策略

针对高校排课面临的问题和挑战,通过分析排课问题的约束条件,将解决排课问题转化为二分图匹配的问题,并给出优化蚁群算法方案,探索高校排课问题的优化策略。     

Complex university course timetabling

This paper summarizes the work done to solve a complex course timetabling problem at a large university and provides new insights into the overall timetabling process. The first step in the successful solution of this problem was to define a course structure model that allowed application of classical course timetabling methods. Several methods were necessary to solve the complete problem. First, support procedures were needed to detect and correct an infeasible problem where hard constraints were being violated. The resulting timetabling problem was then solved via a search for a complete assignment of times and rooms to classes, taking all hard and soft constraints into account. Methods were also developed for modifying a computed solution in response to changes introduced at a later time while having a minimal impact on existing assignments.     

Teaching Thinking and Problem Solving at University: A Course on TRIZ

Thinking and problem solving skills are considered to be of significant importance in many professions. Surveys indicate that university education fails in appropriately enhancing these skills. This paper presents a concept of teaching thinking and problem solving as a separate course, based on the Theory of Inventive Problem Solving (TRIZ). Student surveys showed that students' perception of their abilities in problem solving changed vastly as a consequence of the course. Students reflected that they would never have expected themselves to come up with the ideas they eventually thought of and suggested while conducting their final project, had they not been formally taught about the tools of problem solving. It was also found that this course on TRIZ thinking tools impacted students' problem solving abilities much more than discipline‐based courses, supporting the superiority of the ‘enrichment’ over the ‘infusion’ approach.     

The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem

The course timetabling problem must be solved by the departments of Universities at the beginning of every semester. It is a though problem which requires department to use humans and computers in order to find a proper course timetable. One of the most mentioned difficult nature of the problem is context dependent which changes even from departments to departments. Different heuristic approaches have been proposed in order to solve this kind of problem in the literature. One of the efficient solution methods for this problem is tabu search. Different neighborhood structures based on different types of move have been defined in studies using tabu search. In this paper, the effects of moves called simple and swap on the operation of tabu search are examined based on defined neighborhood structures. Also, two new neighborhood structures are proposed by using the moves called simple and swap. The fall semester of course timetabling problem of the Department of Statistics at Hacettepe University is solved utilizing four neighborhood structures and the comparison of the results obtained from these structures is given.     

基于数据库关系运算的排课算法设计

高校因其需要在固定时间内开设门类众多的课程,排课问题显得尤为突出。排课不仅是通过合理的课程安排使得学生能符合规律的学习成长,也是在探寻多因素问题的求解方式和过程。基于关系运算就排课的一般问题进行分析,包括变量的规范化界定和排课问题的理论分析,提出“分层规划”的解决方案,并采用数据库的关系运算完成排课算法的设计。该算法有效地降低了排课问题的复杂度,并满足了用户的期望和各种约束。     

Learning physics with a computer algebra system

Abstract   To become proficient problem-solvers, physics students need to form a coherent and flexible understanding of problem situations with which they are confronted. Still, many students have only a limited representation of the problems on which they are working. Therefore, an instructional approach was devised to promote students' understanding of these problems and to support them in forming associations between problem features and solution methods. The approach was based on using the computer algebra software Mathematica as a tool for problem solving and visualisation. An electrostatics course module was implemented based on this instructional approach, and this module was compared with a usual paper-and-pencil based one. Learning outcomes for both courses were not significantly different. The experimental course was found to impose a high cognitive load on the students. Based on the outcomes, proposals are made for ways in which the course could be improved.     

基于F5负载均衡技术的网上选课平台

针对基于云南财经大学现有的网络条件,着力探索改善网络选课过程中大并发量处理的策略,主张利用F5_BIG_IP LTM设备搭建网络和服务器负载均衡,以解决在实时选课过程中处理大量学生并发访问选课平台可能引起的服务器过载不能响应学生的请求问题.该架构能够在实际使用过程中很好的解决大并发量的拥堵问题,并且负载均衡技术为对日益增涨的Web应用服务提供了一种可靠稳定的架构,为网上实时处理大并发量访问拥堵问题提供了一种参考方案.     

A hybridized Lagrangian relaxation and simulated annealing method for the course timetabling problem

This paper describes a timetabling problem at universities, where a master course timetable is given extrinsically and conflicts due to students' course enrollment do not need to be considered. A solver for the problem, which integrates both teacher assignment and course scheduling, is described. An initial solution is obtained by a mathematical programming approach based on Lagrangian relaxation. This solution is further improved by a simulated annealing algorithm. The proposed method has been tested on instances from a university in Indonesia, as well as on several randomly generated datasets, and the corresponding computational results are reported.