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Department of Physics and Astronomy

Foundations of Data Analysis (F3229)

Foundations of Data Analysis

Module F3229

Module details for 2024/25.

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

TypeTimingWeighting
Coursework30.00%
Coursework components. Weighted as shown below.
PortfolioT1 Week 11 100.00%
Coursework20.00%
Coursework components. Weighted as shown below.
PresentationMYI Week 1 (15 minutes)100.00%
Coursework50.00%
Coursework components. Weighted as shown below.
PortfolioPS2 Week 1 100.00%
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.

TermMethodDurationWeek pattern
Autumn SemesterSeminar1 hour11111111111
Autumn SemesterWorkshop1 hour01111111111
Autumn SemesterLecture1 hour22222222211

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Darren Baskill

Assess convenor, Convenor
/profiles/235209

Prof Ilian Iliev

Convenor, Assess convenor
/profiles/219022

Dr Lily Asquith

Convenor, Assess convenor
/profiles/355525

Dr Maire Gorman

Convenor, Assess convenor
/profiles/642225

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