Lectures: Weds 35pm LB01
Tutorials: Weds 12pm LG12
Lecturer: Doug Leith
Tutorial Assistants: Angela McCourt, Asmaa AlGhamdi
Register attendance at a lecture here.
The module is a first course in probability and statistics that only assumes basic mathematical (algebra, sets) and programming (we'll use matlab) knowledge. The aim is to take students to the point where they have the foundation needed for understanding machine learning techniques (and so for a follow on module on machine learning or to read an introductory book), performance analysis of computer systems etc.
The module is divided into four parts (each roughly three weeks long) and the topics covered in each part are summarised here.
Assessment is 80% final exam and 20% midterm exam (held directly after reading week).
Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Week 7 
Week 8 
Week 9

Week 10

Week 11

Week 12
