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Curricular information is subject to change
Learning Outcomes
1. Demonstrate knowledge and understanding of the key elements of financial analytics.
2. Apply quantitative techniques to practical real world problems in finance and business.
3. Implement a range of analytical metrics in an efficient manner using spreadsheets.
4. Develop research skills including data analysis.
Student Effort Type | Hours |
---|---|
Specified Learning Activities | 85 |
Autonomous Student Learning | 102 |
Lectures | 20 |
Total | 207 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (Online): Examination | n/a | Standard conversion grade scale 40% | No | 60 |
|
Assignment(Including Essay): Continuous Assessment | n/a | Standard conversion grade scale 40% | No | 40 |
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 |
---|---|
Dr Vassilios Papavassiliou | Lecturer / Co-Lecturer |
Dr Christina Burke | Tutor |
Ms Michele Connolly Doran | Tutor |
Dr Kevin (Yong Kyu) Gam | Tutor |
Richa Gupta | Tutor |
Shirley Ho | Tutor |
Rachel Sim | Tutor |
Dr Anita Suurlaht | Tutor |
Chee Shong Tan | Tutor |
Charlene Tan Puay Koon | Tutor |