Warwick/Coventry, United Kingdom

Artificial Intelligence: A Practical Introduction

when 16 July 2022 - 5 August 2022
language English
duration 3 weeks
credits 7.5 EC
fee GBP 2150

Artificial intelligence is set to revolutionise the way that we work, live and interact.

In December 2017, Carnegie Mellon poker playing computer Libratus has stunned the world by winning 1.7M in a 20 days tournament against four poker stars. This was the latest in a series of big wins for AI including DeepBlue beating Gary Kasparov at chess in 1997 and AlphaGo beating Lee Sedol at Go in 2016.

In a nutshell, the challenge for AI agents is to make decisions in an uncertain environment, exploring the potential consequences of their own choices using complex estimates of the world around.

This course is a study of the basic building blocks of decision-making agents, which are abstract entities living in an uncertain environment and are guided towards the realisation of given objectives. On top of this, the environment is usually inhabited by other agents, which may or may not strive to achieve similar objectives. The task is to take the best possible decision that can be taken given the (incomplete) information available.

These simple models are the basis of a number of important achievements in AI, and combine the use of logical, game-theoretic and algorithmic analysis.

Course leader

Dr Paolo Turrini, Associate Professor, Department of Computer Science, University of Warwick

Target group

There are no prerequisites for this course. This course is open to students studying any discipline at University level. We welcome individuals from all backgrounds, including students who are currently studying another subject but who want to broaden their knowledge in another discipline. Students should also meet our standard entry requirements and must be aged 18 or over by the time the Summer School commences and have a good understanding of the English language.

Course aim

The course will be an investigation of the most important developments of AI in multi-agent contexts, touching upon themes such as opponent modelling, games with imperfect information, resource allocation, collective decision-making and electronic commerce applications.

Credits info

7.5 EC
You must check with the relevant office of your institution if you will be awarded credit, but many institutions will allow this. In general, you’ll earn 3-4 credits in the US system, and 7.5 ECTS in the European system. Warwick will provide any necessary supporting evidence to help evaluate the worth of the course.

Fee info

GBP 2150: Tuition fee applies to any student enrolled at a University or College anywhere in the world (includes social programme and guest lecture series)
GBP 2950: Tuition fee includes the social programme and guest lecture series.


We offer enhanced discounts for Warwick alumni, Warwick study abroad partners and group bookings of 10+ students