The University of Birmingham - School of Computer Science
Evaluation Methods and Statistics
Autumn Semester 2017
LecturesMondays, 9:00-10:50am, LT 1, Sport and Exercise Sciences
Exercises and practicalsTuesdays, 11:00-12:50am, LT 1, Sport and Exercise Sciences
Week 1: Basic concepts of statistics: populations, samples, variables, scales
Week 2: Sampling, measuring, and recording results
Week 3: Summarising and visualising data
Week 4: Populations and random variables; the normal distribution
Week 5: Class Test 1
Week 6: Sample mean; Central Limit Theorem; confidence intervals
Still Week 6: Literate programming in R
Week 7: Comparing two means: The t-test.
Week 8: ANOVA
Week 9: Class Test 2
Week 10: Multiple comparisons, correlation, regression
Re-assessmentThere is one resit opportunity for this course in August next year. The continuous assessment component will not be carried forward.
Previous test and exam papers
1. tryR - Interactive online tutorials to learn basics of R.
2. https://www.r-bloggers.com/ - R blog.
3. Cookbook for R - Worked examples and with the code explained.
4. Learning R - lot of articles on ggplot2 package for plotting.The R project
A local website created by a former colleague from the School of Physics providing support for using R
A nice knitr tutorial
The knitr manual
Gnu Octave: A mathematical assistant similar to Matlab, but freely available (this is installed on the School's Linux machines)
School-level module description