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Module Detailed Information for [BT3102]
Academic Year : 2018/2019 Semester : 2
Correct as at 12 Dec 2018 05:00

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Module Information
Module Code :
Module Title : Computational Methods for Business Analytics
Module Description : Computers are becoming readily accessible, and its use in business analytics is growing more prevalent. This module will introduce students to computational methods, algorithms and techniques used in business fields such as finance, marketing and economics to address complex analytics problems. The course will cover topics and algorithms in areas such as optimization methods, numerical analysis, simulations, monte-carlo methods, graph and flow methods, and computational complexity issues to address business analytics related problems. Students will get the opportunity to learn about these computational methods and issues through hands-on practice assignments, case analysis discussions, and course projects.
Module Examinable : -
Exam Date : 29-04-2019 PM
Modular Credits : 4
Pre-requisite : BT2101 and (CS1020/E or CS2020 or CS2030 or CS2103/T or CS2113/T)
Preclusion : NIL
Module Workload (A-B-C-D-E)* : 3-0-0-3-4
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
Not Available in Tutorial Balloting yet.
Not Available in Tutorial Balloting yet.
Not Available in Tutorial Balloting yet.

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