Warwick Summer School: Artificial Intelligence: A Practical Introduction Postgraduate Programme By The University of Warwick |TopUniversities

Warwick Summer School: Artificial Intelligence: A Practical Introduction

Subject Ranking

# 83QS Subject Rankings

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

If you are looking for a summer experience to inspire and enlighten you, our Warwick Summer School is for you. You will experience a great mix of academic and personal development sessions as well as social and cultural activities. This 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. Students will learn the basic methodologies for the design and the analysis of AI in complex systems with many interacting agents, ranging from competitive to cooperative interaction. The course take will be interdisciplinary, touching upon themes that are important for computer science, economics, and philosophy. By the end of the course the students will learn how to program a strategic agent participating in an auction. During the allocated seminars time students will be receive support on the programming skills required for the task (Python), from scratch. You will have 60 hours teaching contact time during the 3 weeks and if you choose to take the optional examination you can typically get 3-4 credits (US) 7.5 ECTS points (EU) - please check with your home institution.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

If you are looking for a summer experience to inspire and enlighten you, our Warwick Summer School is for you. You will experience a great mix of academic and personal development sessions as well as social and cultural activities. This 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. Students will learn the basic methodologies for the design and the analysis of AI in complex systems with many interacting agents, ranging from competitive to cooperative interaction. The course take will be interdisciplinary, touching upon themes that are important for computer science, economics, and philosophy. By the end of the course the students will learn how to program a strategic agent participating in an auction. During the allocated seminars time students will be receive support on the programming skills required for the task (Python), from scratch. You will have 60 hours teaching contact time during the 3 weeks and if you choose to take the optional examination you can typically get 3-4 credits (US) 7.5 ECTS points (EU) - please check with your home institution.

Admission Requirements

There are no prerequisites to this course, however students should keep in mind that it is ultimately a technical course, where mathematical and programming knowledge will be provided. 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. Our Summer School courses are taught in English so students must be able to demonstrate a good level of English language and comprehension. We assess students' English ability through their application and correspondence.

Jul

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