创新创业理论研究与实践 ›› 2023, Vol. 6 ›› Issue (16): 49-51.

• 教学革新 • 上一篇    下一篇

系统工程原理课程教学内容优化

李明辉1, 霍慧芝2, 雷涛3   

  1. 1.贵州大学 省部共建公共大数据国家重点实验室,贵州贵阳 550025;
    2.贵州师范大学 机械与电气工程学院,贵州贵阳 550025;
    3.贵州师范大学 大数据与计算机科学学院,贵州贵阳 550025
  • 出版日期:2023-08-25 发布日期:2023-09-15
  • 作者简介:李明辉(1987—),女,黑龙江鹤岗人,博士,讲师,研究方向:天文技术与方法。
  • 基金资助:
    教育部高等学校教学研究项目“应用HPS教育理念优化民办高校大学物理实验课程思政”(DWJZW202232XN); 贵州省高等学校教学内容和课程体系改革项目“新工科背景下电力系统实践课程体系的构建”(2021044)

Optimization of Teaching Content of Principles of Systems Engineering Course

LI Minghui1, HUO Huizhi2, LEI Tao3   

  1. 1. State Key Laboratory of Public Big Data, Guizhou University, Guiyang Guizhou, 550025, China;
    2. School of Mechanical and Electrical Engineering, Guizhou Normal University, Guiyang Guizhou, 550025, China;
    3. School of Big Data and Computer Science, Guizhou Normal University, Guiyang Guizhou, 550025, China
  • Online:2023-08-25 Published:2023-09-15

摘要: 系统工程原理是一门具有交叉学科性质的研究生课程,旨在培养学生运用“整体”或者“系统”的思维方式来科学分析复杂的工程方案和解决非稳定性工程问题的能力,需要学生在开始学习之前,具有一定的工程实践经验和全局看待问题能力。针对新入学研究生的经验和能力明显不足,学生学情和课程需要与学生具备的能力不匹配而导致教学效果不佳的问题,该文提出对系统工程原理课程教学内容进行优化,采用以现有的知识储备为起点、结合信息时代发展需要、与实际大科学工程有机结合的“三位一体”课程优化方法,从而实现高质量教学。

关键词: 系统工程原理, 教学内容优化, 实践教学, 系统方法论, 大数据预测, “中国天眼”工程

Abstract: Principles of systems engineering is an interdisciplinary graduate course that cultivates students' ability to use“holistic”or“systematic”thinking to scientifically analyze complex engineering and solve problems. Students should have experience and ability in engineering before studying. Given the mismatch between students' current abilities and the abilities required by the course, the teaching effect is not good; to improve this situation, this paper proposes to optimize the teaching content of principles of systems engineering and adopt the“trinity”course optimization method, which starts from the existing knowledge reserve, combines the development needs of the information age and organically combines with the big science and engineering, to achieve high-quality teaching.

Key words: Principles of systems engineering, Optimization of teaching content, Teaching in practice, Methodology of systems, Big data forecasting, FAST engineering

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