Last modified: 25 Sep 2019 09:58
This is a project course for the MSc in data science. Students will be given a data science project, which will be supervised by two members of staff.
The project will involve a typical data science workflow, from data collection, cleaning, to analysing and visualising the results.
The students will have to deliver a presentation and hand in a report about the results.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Third Term | Credit Points | 60 credits (30 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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This is a project course for the MSc in data science. Students will be given a data science project, which will be supervised by two members of staff.
The project will involve a typical data science workflow, from data collection, cleaning, to analysing and visualising the results.
The students will have to deliver a presentation and hand in a report about the results.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 20 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
30 Minute Presentation Written feedback |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 80 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Word Count: 25000-50000 Submission of annotated computer code is also expected. Written comments. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Create | Students will learn how to make sense of data. They will apply algorithmic knowledge from the courses in the MSc Data Science degree to conduct a piece of research in collecting, analysing data |
| Reflection | Evaluate | Data analysis and modelling workflow. |
| Reflection | Create | Communication and presentation skills |
| Reflection | Create | Students will learn how to make sense of data. They will apply algorithmic knowledge from the courses in the MSc Data Science degree to conduct a piece of research in collecting, analysing data |
| Reflection | Evaluate | Data analysis and modelling workflow. |
| Reflection | Create | Communication and presentation skills |
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