Probability Models (G1100)

15 credits, Level 6

Autumn teaching

You cover topics including:

  • short revision of probability theory
  • expectation and conditional expectation
  • convergence of random variables, in particular laws of large numbers, moment generating functions, and central limit theorem
  • stochastic processes in discrete time in particular Markov chains, including random walk, martingales in discrete time, Doob's optional stopping theorem, and martingale convergence theorem.

Teaching

100%: Lecture

Assessment

20%: Coursework (Portfolio, Problem set)
80%: Examination (Computer-based examination)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 33 hours of contact time and about 117 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2022/23. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: