Centralised Online Undergraduates Registration System (CORS)


Module Detailed Information for [COS2000]
Academic Year : 2018/2019 Semester : 2
Correct as at 21 Feb 2019 05:00

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Module Information
Module Code :
Module Title : Computational Thinking for Scientists
Module Description : This module introduces students to computational thinking as applied to problems in science. A selection of examples will be chosen to illustrate (a) application of abstraction, decomposition and pattern recognition in problem formulation and solution development, and (b) solution interpretation, as well as (c) analysis of the computational solutions and data visualization. The selection will tackle different types of approaches typically used in scientific computational thinking, including deterministic, probabilistic and approximation methods. The module will also highlight scientific computational issues such as accuracy and convergence of numerical results. Python/Python Notebook (Jupyter) will be used as the computation platform.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : Nil
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 2-0-3-2-3
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
Available in Tutorial Balloting [Iteration 1].
Available in Tutorial Balloting [Iteration 1].
Available in Tutorial Balloting [Iteration 1].

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