Teaching practice of urban design course for architecture graduate students based on big data analysis
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G643.2

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    Abstract:

    Big data analysis, with its advantages of objectivity, dynamic and comprehensive, provides important assistance for the transformation and development of urban design. It is of great significance to teach urban design with big data. According to the feedback from the past, there are four problems, such as the difficulty of teaching, the forced compression of urban design teaching content, the deliberate evasion of big data operation, and the traditional urban design teaching method that teachers still choose. In view of the above problems, this study proposes that in the practice of urban design curriculum, the teaching objectives, pre class preparation, stage operation content and teaching setting, curriculum evaluation and feedback are adjusted to be the means of big data application intervention in the course. On this basis, the course of big data enabling city and design is integrated from the preparatory stage, research, analysis stage, and scheme and achievement stage. Through the establishment of students' basic ability of big data, training students' data collection and mining ability, guiding students to have data analysis ability, training the ability of using data innovation and design, and cultivating the visual expression ability. The ability of the students to use big data in urban design should be strengthened gradually by the training of equal empowerment. Finally, it is pointed out that the intervention of big data application has promoted the change of the students' learning mode of urban design, and also comprehensively improved the students' thinking ability of urban design creation

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刘皆谊,胡莹,王依明,张芳.大数据赋能的建筑类研究生城市设计教学实践[J].高等建筑教育,2021,30(2):49~56

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History
  • Received:March 15,2020
  • Revised:
  • Adopted:
  • Online: May 11,2021
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