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Curricular information is subject to change
1. Have a comprehensive appreciation of the key statistical issues involved in predictive analytics in banking and finance.
2. Understand fundamental ideas which underpin the methodologies introduced.
3. Have an appreciation of the role of economic policy and regulation in the predictive analytics in banking field.
4. Be able to explain in detail and model in practice classification related problems in banking.
Student Effort Type | Hours |
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Lectures | 0 |
Total | 0 |
Not applicable to this module.
Not yet recorded |
Name | Role |
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Mr Tian Tao | Tutor |
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Tues 10:00 - 11:50 |
Tutorial | Offering 1 | Week(s) - 22, 23, 24, 25, 26, 30, 32 | Tues 14:00 - 14:50 |