PIP (F3229)
Physics in Practice
Module F3229
Module details for 2022/23.
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. Weighted as shown below. | ||
| Portfolio | T1 Week 11 | 100.00% |
| Coursework | 50.00% | |
| 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 | 01111111111 |
| Autumn Semester | Lecture | 1 hour | 22222222211 |
| 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 Fabrizio Salvatore
Assess convenor, Convenor
/profiles/168614
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