Centralised Online Undergraduates Registration System (CORS)

      


Module Detailed Information for [DSC4215]
Academic Year : 2017/2018 Semester : 2
Correct as at 22 Jan 2018 20:00

Back to Module Information Listing
Module Information
Module Code :
DSC4215 IVLE
Module Title : Data Visualization and Actionable Intelligence
Module Description : Successful supply chain analytics projects require: A business problem, validated data, visualization for initial insights, and statistical analysis for predictive insights. Students will glean insights from real world data, answer strategic business questions, create an Information Strategy for Supply Chain, Visualize and monetize Big Data. Real data sets from supply chain, retail, and social media will be placed in cloud technology like Google or Amazon. The students will use state-of-the-art tools to create amazing visualizations including SAP Lumira, Qlikview,Tableau, SVG, NetNode, and others. Practically, students will also learn about types of data available in a typical corporation, how this data maybe collected, shortcomings, bureaucratic / company's cultural issues. In this era of entrepreneurship we will also look at how startups/NGOs can visualize supply chain opportunities to attract and serve customers. To round out the course we will review the ethical and legal considerations of acquiring and using certain types of data. At the end they will develop the next generation of business analytics using cross-industry data mashups. The skills learned will be usable in other industries and the core concepts are technology agnostic.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : Operations and Technology Management
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 0-3-1-4-2
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
R1 SECTIONAL TEACHINGEVERY WEEKTUESDAY18002100BIZ1-0202,
R2 SECTIONAL TEACHINGEVERY WEEKTHURSDAY18002100BIZ1-0202,

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.
No Tutorial Class or to be announced. Please check with the department offering this module.





  NUS Help NUS Home Search Site Map Contact NUS Legal