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Curricular information is subject to change
Learning Objectives
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, including problems requiring prediction.
3. Implement a range of analytical metrics in an efficient manner using spreadsheets and statistical software.
4. Evaluate from a management perspective the performance of analytics.
Student Effort Type | Hours |
---|---|
Specified Learning Activities | 80 |
Autonomous Student Learning | 150 |
Lectures | 20 |
Total | 250 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): Examination | n/a | Standard conversion grade scale 40% | No | 60 |
|
Assignment(Including Essay): Assignment | n/a | Standard conversion grade scale 40% | No | 40 |
Remediation Type | Remediation Timing |
---|---|
Repeat | Within Two Trimesters |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr Christina Burke | Tutor |
Ms Michele Connolly Doran | Tutor |
Richa Gupta | Tutor |
Shirley Ho | Tutor |
June Neo | Tutor |
Assoc Professor Alessia Paccagnini | Tutor |
Chee Shong Tan | Tutor |
Charlene Tan Puay Koon | Tutor |
Dr Tiffany Thng | Tutor |
Tiffany Thng | Tutor |
Siti Zarifah | Tutor |