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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 |
---|---|
Lectures | 20 |
Specified Learning Activities | 85 |
Autonomous Student Learning | 102 |
Total | 207 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Group Project: Group Project - Empirical (Excel) | Varies over the Trimester | n/a | Graded | No | 40 |
Examination: End of trimester examination | 2 hour End of Trimester Exam | No | Graded | No | 60 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Group/class feedback, post-assessment
General feedback is provided to students on all their submitted assessment components.
Name | Role |
---|---|
Dr Christina Burke | Tutor |
Ms Michele Connolly Doran | Tutor |
Richa Gupta | Tutor |
Shirley Ho | Tutor |
Rachel Sim | Tutor |
Dr Anita Suurlaht | Tutor |
Chee Shong Tan | Tutor |
Charlene Tan Puay Koon | Tutor |