Data Science Methods Autumn (L7) (970G1A)
Data Science Methods Autumn (L7)
Module 970G1A
Module details for 2024/25.
15 credits
FHEQ Level 7 (Masters)
Module learning outcomes
Analyse real-world datasets using tools and techniques.
Design testable hypotheses and apply suitable experimental methods to determine whether those hypotheses are supported by the data.
Evaluate the applicability of different tools and techniques for data analysis and visualisation in different scenarios.
Summarise an analysis of real-world data and apply data visualisation tools and techniques to present data in an appropriate format.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 70.00% | |
| Coursework components. Equal weighting for all components. | ||
| Report | A1 Week 1 | |
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T1 Week 8 | 100.00% |
| Coursework | 10.00% | |
| Coursework components. Weighted as shown below. | ||
| Peer review exercise | T1 Week 9 | 50.00% |
| Portfolio | T1 Week 11 | 50.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn Semester | Laboratory | 2 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
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