IS5126
HANDS-ON WITH BUSINESS ANALYTICS (2013/2014, Semester 2) 

 MODULE OUTLINE Created: 03-Jan-2014, Updated: 16-Jul-2014
 
Module Code IS5126
Module Title HANDS-ON WITH BUSINESS ANALYTICS
Semester Semester 2, 2013/2014
Modular Credits 4
Faculty School of Computing
Department Information Systems & Analytics
Timetable Timetable/Teaching Staff
Module Facilitators
DR Tuan Q. PHAN Lecturer
ASHISH TAYAL Teaching Assistant
Weblinks
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Learning Outcomes | Prerequisites | Preclusions | Workload


 LEARNING OUTCOMES Top
Business Analytics is the growing, inter-disciplinary field of bringing data to build business insights and support decisions. The goal of the course is to bridge the divide between technical skills and business know-how. Through learning-by-doing, students will engage in a series of business case study discussions, guided group projects, and a final semester project of their own design. Lectures will cover practical skills using the latest tools and techniques, as well as discuss business cases and applications. The module will give students practice in the "data funnel" from gathering and collecting data, extraction-transformation-loading, analysis, and interpretation.  Applications will cover areas such as retailing, customer relationship management (CRM), social media, and marketing.


 PREREQUISITES Top
Students are required to have strong math background, programming experiences, and business experience.  Because this is a "hands-on" course, students are expected to spend significant amount of time to accomplish the assignments and projects.  Full-time students are highly recommended.  Strong reading and written skills are also necessary.

Prior experience in Linux, Python, R, SQL, statistcs, econometrics, and business strongly recommended.


 PRECLUSIONS Top
Nil


 WORKLOAD Top
2-0-2-4-4

Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab 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