Spatial Computational Thinking is increasingly being recognised as a fundamental method for various spatial disciplines. It involves idea formulation, algorithm development, solution exploration, with a focus on the manipulation of geometric and semantic datasets.
This project developed a Professional Certificate Program on the Edx platform, delivering the theoretical knowledge and practical skills required for leveraging computation for the manipulation of various types of spatial data.
In the first and second iterations, a Professional Certificate Programme was created, consisting of four course:
Each course consisted of 4 weeks of lectures and exercises, covering both theoretical knowledge and practical skills. Each week also included graded quizzes and coding assignments. In total, for all four courses, the content included:
In the first iteration, from Jan 2020 to Apr 2020, the four courses were delivered as instructor-led. This meant that each week, course content was released and learners would follow the courses, in a synchronous manner.
In the second iteration, from Sep 2020 to Feb 2021, the four courses were delivered as self-paced. This meant that learners would follow the courses at their own pace, in an asynchronous manner.
In the third iteration, from Sep 2021 to Feb 2022, the content was re-structured into three courses. The courses were delivered as self-paced.