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Module Detailed Information for [AR2524]
Academic Year : 2018/2019 Semester : 2
Correct as at 21 Feb 2019 05:00

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Module Information
Module Code :
Module Title : Spatial Computational Thinking
Module Description : 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. Students will use parametric modelling tools for generating and analysing building elements at varying scales. Such tools use visual programming interfaces to allow complex algorithms to be developed and tested. Students will learn how to structure their ideas as algorithmic procedures that integrate data-structures, functions, and control flow. Through this process, students will also become familiar with higher-level computational concepts, such as decomposition, encapsulation and abstraction.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : Nil
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 0-0-1-5-4
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
Class TypeWeek TypeWeek DayStartEndRoom Iteration
1 TUTORIAL There are no lectures for this module. Available in Tutorial Balloting [Iteration 9].
Not Available in Tutorial Balloting yet.

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