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Curricular information is subject to change
There will be two sets of learning outcomes. Upon completion of this module, students should be able to
1) Critically evaluate finance-related research, assessing the rigour of the formulation of the research questions and of the research methodology, as well as the significance of the results (including the validity of the indicators used), and the importance of the work for increasing the understanding and/or improvement of ‘best practice’, as well as (potentially) contributing to the advancement of the discipline and the development of the literature
2) Carry out rigorous research, write clear and well-argued reports, and apply results prudently in practice.
Introduction to Statistical Learning in R by Hastie and Tibshirani and R package and R Studio
Jupyter Notebooks (for JUlia PYThon R)
A Machine Learning Text TBA
Julia package release 1.5 or higher
Python (optional)
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Seminar (or Webinar) | 12 |
Autonomous Student Learning | 86 |
Total | 110 |
**Please note that the module FIN30290 Recent Research Topics in Finance is open only to final stage students of the BSc in Economics & Finance programme only, for whom it is a core module. The content and assessment is calibrated to the students of this program**
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: Final Examination (2hrs) | 2 hour End of Trimester Exam | No | Graded | No | 40 |
Group Project: Data Analysis project, with Written Report and Presentation | Unspecified | n/a | Graded | No | 30 |
Continuous Assessment: Series of brief assignments on recent and classical techniques for analysiing data. Possible Group component (TBA) |
Throughout the Trimester | n/a | Graded | Yes | 30 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
• Peer review activities
• Self-assessment activities
All Continuous Assessment will be Group-Based according to the following steps: 1. Each member of the group submits online a draft of required work or individual contribution to group work (time schedule provided, prior to due date) 2. Groups complete required Assignment or Task 3. Group Submission must include Group Feedback on individual members' earlier drafts Members of a Group shall all receive the same grade, except in cases where one or more members' early drafts are consistently lacking relative to the others' Feedback will be online (with comments and explanation where needed) Final Examination will be assessed with online automated feedback.