Foundations of Data Analysis (F3229)
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Foundations of Data Analysis
Module F3229
Module details for 2025/26.
15 credits
FHEQ Level 4
Module Outline
Dimensions and units
Estimation of uncertainties
Introduction to computer-based data analysis
Mean, standard deviation and standard error
Error propagation
Histograms and manipulation of distributions
The Gaussian distribution
Chi squared and (straight) line fitting
Identifying and dealing with systematics
Assessing data quality
Introduction to electrical circuits and circuit simulation
Module learning outcomes
Demonstrate an understanding of data analysis techniques and error propagation.
Analyse and critically assess experimental data.
Demonstrate understanding of some electronic elements and circuits.
Communicate experimental results and theoretical ideas by written report and oral presentation.
Demonstrate basic programming skills
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Presentation | MYI Week 1 (15 minutes) | 100.00% |
| Coursework | 30.00% | |
| Coursework components. Average of best 2 coursework marks. | ||
| Software Exercise | T1 Week 4 | |
| Software Exercise | T1 Week 10 | |
| Software Exercise | T1 Week 7 | |
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T1 Week 11 | 100.00% |
| Coursework | 30.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | T1 Week 11 | 100.00% |
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 | Workshop | 2 hours | 11111111111 |
| Autumn Semester | Lecture | 1 hour | 22222222222 |
| Autumn Semester | Seminar | 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.
Prof Ilian Iliev
Convenor, Assess convenor
/profiles/219022
Dr Lily Asquith
Convenor, Assess convenor
/profiles/355525
Dr Darren Baskill
Convenor, Assess convenor
/profiles/235209
Dr Maire Gorman
Assess convenor, Convenor
/profiles/642225
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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.