Description
Aims: To provide students with an intellectual framework to analyse situations in which the behaviour of agents is driven by strategic considerations and, with a set of analytical tools, to interpret a wide range of phenomena in the social sciences.
Suitable for: Final year students with a good mathematical background.
Prerequisites: although there are no formal prerequisites and the mathematical tools are limited, nevertheless the module requires students to possess a strong ability in logical reasoning.
Assumed knowledge: Students coming into the module should have a good command of calculus and probability theory. They should be able to take derivatives and integrals and calculate maxima of functions. Also, they should understand the concept of probabilities, random events and variables and be able to use Bayesian updating. Basic knowledge of microeconomics is not necessary, but could be beneficial
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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