Welcome to the web pages for the probability section of MAS113 Introduction to Probability and Statistics. This covers the first semester and the first three weeks of the second semester. Course notes (excluding some of the worked examples from the lectures), exercises and solutions will appear here, in PDF format.
Information about the data science section, lectured by Prof Jeremy Oakley, is available on MOLE/Blackboard.
There will be two lectures each week.
There will be one other session in each week. In weeks 1 and 2 it will be a computer class, giving an introduction to the software package R, and in other weeks (again excluding week 7) it will be a tutorial. These sessions will be at different times, depending on which group you are in; you can find out which group you are in, the time and place of your sessions, and the name of your group's tutors at the SoMaS tutorial groups page. Please note that you may have different times in weeks 1 and 2 from the later weeks.
For the tutorials, I will announce which questions from the exercise booklet you should look at in advance of the class. You should have a look at the questions before the class so that you have a good idea what you want to ask about; this is a much better use of the time available than if you only look at them for the first time in the class.
If you cannot make the time of your allocated group for a good reason, please email me and I will see whether I can move you.
Homework will be set after tutorials every other week, to be handed the following week. The work should be handed in to folders which will be placed outside room I9. The plan is that the homework deadlines in semester 1 will be on the Mondays 21 October, 4 November, 18 November, 2 December and 16 December. The homework is for feedback purposes.
Assessment is by an exam at the end of the module and online tests, together with R practicals on the statistics material in semester 2. The online tests for the module will be available on MOLE. The online tests in semester 1 will have deadlines on Fridays 11 October (not for assessment) and then 25 October, 8 November, 6 December and 20 December.
Details of proofs of theorems and of worked examples will be available after they are lectured:
Slides will appear here after the relevant section has been lectured.
Supplementary notes (non-examinable):
Booklet of exercises for the course. This covers the whole of the probability section of the course.
Solutions will appear here after homework deadlines.
Solutions released so far (as of 19 November, up to question 21).
Introduction to R (for the computer classes in weeks 1 and 2).
These will appear on MOLE before the exam. The exam papers themselves can be found on the SoMaS past papers page.
To contact the lecturer, email email@example.com. My office is I9, on the fifth floor of the Hicks Building. I will have office hours every Tuesday from 14:30 to 15:30, but you can also try at other times if I am in.
A discussion board for this module is available on MOLE.
My home page
School of Mathematics and Statistics current students page