# Course unit statistics and degree results

## Interpretation

Recent course unit statistics for can be found below. The dependent variables (column headings) have the following interpretations

1. n is the number of students taking this course unit
2. μ (mu) is the mean mark obtained in this course unit
3. σ (sigma) is the standard deviation of marks obtained in this course unit
4. 'Others' is the mean mark obtained across all other course units by students taking this course unit
5. Δ (Delta) = μ (mu) - Others

Warning: these are raw, and to some extent incomplete, statistics. (In particular, they may exclude some students based in schools other than Computer Science.) They are presented so as to enable you to draw your own conclusions, so make sure you know what they mean before attempting to do so.

For example, it would be foolish just to look at the course unit means and assume that a course unit with a high mean is likely to be easy: it may be that this course unit was selected by a collection of particularly able students (as indicated by the Others variable).

Furthermore, if you are a strong student, a course with a low mean may be good to take if it also has a high standard deviation. Remember in addition that syllabuses change significantly from year to year, as do labs, exercises and, of course, lecturers. Past statistics may not necessarily be a guide to future ones.

The columns headed CW and Exam attempt to show the unit averages for Coursework and Exam. However, because the statistics have been generated from data stored at University level, where the separate data required for this calculation is not always available, this is not always possible and only a single average is shown.

Finally, do not be obsessed by mark-maximization. Doing well in exams is good, but remember that, in a few years, you will hardly remember what marks you got in various course units, and will care even less: when choosing units, the best heuristic is probably to do what interests you most.