DEPARTMENT OF ENGINEERING MATHEMATICS

EMAT31530

INTRODUCTION TO ARTIFICIAL INTELLIGENCE 

 

 

EMAT31530  (20 credits)

Timetable Assessment  Syllabus Materials Textbooks Past exams

Organiser:

 Prof. Nello Cristianini

Lecturer:

 Prof. Nello Cristianini

Description:

 A general introduction to the ideas and the tasks of Artificial Intelligence, with an emphasis on their relations to other disciplines, their impact on science and industry, and on mathematical foundations. Based on Matlab case studies. Each area will be exemplified by a case study, and the solution of the case study in Matlab will illustrate the strengths and weaknesses, as well as the potential applications, of the relative techniques.
Pre-requisites: EMAT202100 or equivalent units ( knowledge of Matlab and basic statistics)
Co-requisite: None
Aims:

The aim is to give a broad overview of the field of Artificial Intelligence (AI), dividing the field in function of its main goals or challenges (rather than in function of the various existing approaches).
The course will present the students with all the key areas of the field if AI, using a case study to illustrate each area, and using MATLAB as the main programming language to solve the case study.
The course will also outline the key steps in the history of the field of AI, the main achievements, and the key challenges ahead.

Learning outcomes:

 The students will acquire a good knowledge of the field of AI, its past, future, main successes and failures, and main focus areas and solution techniques. They will also become familiar with the main sub-areas, such as Machine Vision, Natural Language Processing, Game Playing, Machine Learning, Information Retrieval, Robotics, Scheduling, Planning and Reasoning, Web Intelligence, Bioinformatics, Data Mining, and more.

Organisation & timetable:

Nello Cristianini <nello.cristianini@gmail.com>
Communications: http://patterns.enm.bris.ac.uk/courses/artificial_intelligence

Assessments:

 50% assessed by 4 pieces of coursework (10%+10%+10%+20%) and 50% assessed by final exam (2hrs).

Syllabus

 http://patterns.enm.bris.ac.uk/courses/artificial_intelligence
Materials: Lecture notes will be on Blackboard

Books:

 Artificial Intelligence: Modern Approach, (2nd Edition) by Stuart J. Russell and Peter Norvig
Past exams: None

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