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Module Detailed Information for [CS4225]
Academic Year : 2018/2019 Semester : 2
Correct as at 21 Feb 2019 05:00

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Module Information
Module Code :
Module Title : Big Data Systems for Data Science
Module Description : Data science incorporates varying elements and builds on techniques and theories from many fields, including statistics, data engineering, data mining, visualization, data warehousing, and high-performance computing systems with the goal of extracting meaning from big data and creating data products. Data science utilizes advanced computing systems such as Apache Hadoop and Spark to address big data challenges. In this module, students will learn various computing systems and optimization techniques that are used in data science with emphasis on the system building and algorithmic optimizations of these techniques.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : CS2102
Preclusion : CS5425
Module Workload (A-B-C-D-E)* : 2-1-0-3-4
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
Available in Tutorial Balloting [Iteration 2].
Available in Tutorial Balloting [Iteration 2].
Available in Tutorial Balloting [Iteration 2].

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