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Curricular information is subject to change
On completion of this module, students should be able to understand a
range of quantitative business problems and identify suitable
analytics models for addressing them; and be able to explain, carry
out in practice, and interpret the results of models including
regression, time series forecasting, correlation, linear programming,
classification, and clustering.
Student Effort Type | Hours |
---|---|
Lectures | 20 |
Specified Learning Activities | 85 |
Autonomous Student Learning | 110 |
Total | 215 |
Not applicable to this module.
Remediation Type | Remediation Timing |
---|---|
Repeat | Within Two Trimesters |
• Group/class feedback, post-assessment
General feedback is provided to students on all their submitted assessment components.
Name | Role |
---|---|
Soh Cheong Hian | Lecturer / Co-Lecturer |
Dr Christina Burke | Tutor |
Ms Michele Connolly Doran | Tutor |
Shirley Ho | Tutor |
Assoc Professor Sean McGarraghy | Tutor |
Dr Miguel Nicolau | Tutor |
Rachel Sim | Tutor |
Chee Shong Tan | Tutor |
Charlene Tan Puay Koon | Tutor |
Siti Zarifah | Tutor |