Skip to main content

Probability, Statistics and Data Centric Engineering

Module code: EEU11E21 · Semester: 2

Questions by Year​

0 of 1 done · tick papers and add notes as you go

Papers open on tcd.ie (sign in to TCD first).

Topics

  • Describing data: histograms, central tendency, variation, IQR and outliers LO1
  • Probability basics LO2
  • Discrete distributions: binomial, geometric, hypergeometric, Poisson and others LO2–3
  • Continuous distributions: normal, exponential, chi-squared LO3
  • Sampling distributions, central limit theorem, standard error LO3–4
  • Confidence intervals and hypothesis tests (z, t, F, chi-square) LO4
  • Linear regression, least squares, correlation, time series LO5–7
Learning outcomes (exam covers LO1–6)
  1. Understand data types, visualisation, summaries and exploratory analysis
  2. Compute probabilities for random variables in engineering problems
  3. Build and use discrete and continuous probability distributions
  4. Assess statistical test results using hypothesis testing
  5. Carry out correlation and regression analysis
  6. Fit least-squares lines by hand and with software
  7. Use software for data analysis

Summarised from the module descriptor, checked November 2026.

Papers from the previous module​

These papers are from Experimental Methods and Data Centric Engineering (MEU11E14). This module replaced it from 2024/25. The syllabus isn't identical, so check each question against the current module descriptor.

0 of 2 done · tick papers and add notes as you go

Papers open on tcd.ie (sign in to TCD first).