NCKU Curriculum Map
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APPLICATION OF BIG DATA ANALYTICS AND DATA MINING TECHNIQUES TO SPATIAL PLANNING

Due to the trends of technological progress and network society development, the sources of data are getting more and more multivariate and complex. Under this context, how to respond to the trendsXto get and analyze large amount of unstructured and structured data through various pipelines, to integrate these new data analysis techniques with existing analytical techniques and results, and to apply the results to spatial planning practiceXhas become an urgent issue. In response to this issue, this course aims to develop appropriate ways to apply big data analytics, data mining techniques, urban science and computational methods to spatial planning in Taiwan through discussing, practicing and cooperating with relevant information network professions.

Course Goal
A. Cultivating advanced spatial planning and design professionals with globe vision, execution ability and leadership.
B. Cultivating advanced spatial planning and design researchers with scientific vision and innovation ability.
C. Cultivating high-level spatial planning and design teaching faculty with inter-disciplinary, forward-looking and globe visions.
Course Principle Literacy and Competence
[Principle Literacy]
  • With professional ethics and social responsibilities.
  • As citizen of the earth, respect multi-culture and enhance environment sustainability and generation justice.
  • [Competence]
  • Ability to grasp the content of spatial planning and design theories and development issues.
  • Ability to grasp and flexibly implement the methodologies of spatial planning and design in research and development.
  • Ability to innovatively integrate theories and practical skills to achieve the best spatial planning and design practices.
  • Ability of accurate analysis and expound and effective communication.
  • Ability of teamwork and leadership.
  • Ability of integrating, implement, and developing inter-disciplinary knowledge from professional aspect.
  • Courses of Recent Years
    Year/
    Semester
    Course
    Number
    Class
    Code
    Course Name
    (The name will link to the syllabus.)
    Credit Taught in English
    (Yes or No)
    Instructor
    0108/2 P282000 [UP6772]APPLICATION OF BIG DATA ANALYTICS AND DATA MINING TECHNIQUES TO SPATIAL PLANNING 3.0 N Lee, Tzu-Chang,Huang, Wei-Ju,