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Curricular information is subject to change
By the end of this module students will be able to:
1. Manage and deliver a data science project within a team environment using appropriate methodologies
2. Design and implement a significant data science solution
3. Collect and use datasets of disparate types and from disparate sources.
4. Prototype solutions in successive rounds with user feedback and with increasing realism and detail
5. Evaluate and test software solutions with users and other stakeholders.
6. Present findings from a data science project.
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Practical | 36 |
Autonomous Student Learning | 200 |
Total | 248 |
Not applicable to this module.
Remediation Type | Remediation Timing |
---|---|
Repeat | Within Two Trimesters |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Individual and group feedback will be given in preparation for submissions and after submissions have been assessed.