ETS2010 - Introductory probability theory - 2018

The main aim of this unit is to provide a solid introductory background in probability theory to students wishing to pursue a career as an econometrician, but also to those who wants to do further studies in economics at post-graduate level.

The learning goals associated with this unit are to understand the concepts of:

1. axiomatic probability theory (conditional probabilities)
2. random variables (standard univariate discrete/continuous distributions)
3. expected values and moments (moment generating functions)
4. jointly distributed variates and Multivariate probability distributions
5. distributions of functions of random variables
6. sampling distributions
7. estimation theory

Within semester assessment: 40% + Examination: 60%

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information