This module will examine core themes and debates in contemporary metaphysics, equipping you not only with an understanding of these core topics, but also with...

This module will examine core themes and debates in contemporary metaphysics, equipping you not only with an understanding of these core topics, but also with conceptual tools that will help you become a participant in the debate.

Sample topics (may vary slightly year to year):

Identity & Change
	Possibility & Necessity
	Causation
	Space & Time
Teaching Delivery

There will be one 1 hour lecture per week plus one 1 hour seminar per week. You will be required to read a set of ‘Key Readings’ each week (normally 1-2 articles or equivalent) prior to the lecture. Seminars will be an opportunity to engage in interactive discussion of the week’s topic.

By the end of the module, you should:

Have a sound understanding of a range of core themes and debates in contemporary metaphysics.
	Be equipped with the understanding and conceptual resources needed to contribute to these debates yourself.
	Have further honed your ability to analyse arguments, and construct rigorous arguments yourself.
	Have improved your essay-writing skills.
Recommended Reading

In preparation for the module, we advise reading the following core text. This can be found in the UCL Library, but it might be a good idea to buy your own copy:

Lowe, E. J. (2002): A Survey of Metaphysics (Oxford: OUP) ISBN: 978-0-19-875253-0

Philosophy Area A

PROBABILITY SPACE|EVENTS|RANDOM VARIABLES. INDEPENDENCE. WEAK CONVERGENCE. CONDITIONAL EXPECTATION

This course follows on from earlier courses in real analysis and measure theory, and describes what is perhaps the most important application of measure theory...

This course follows on from earlier courses in real analysis and measure theory, and describes what is perhaps the most important application of measure theory in mathematics; the rigorous theory of probability. The course material is focused on the two most fundamental principles of the theory: the strong law of large numbers and the central limit theorem.