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Unit information: Introduction to Artificial Intelligence in 2021/22

Unit name Introduction to Artificial Intelligence
Unit code EMAT31530
Credit points 20
Level of study H/6
Teaching block(s) Teaching Block 4 (weeks 1-24)
Unit director Dr. McConville
Open unit status Not open
Pre-requisites

EMAT20011, EMAT10006 (or equivalent units, i.e good knowledge and experience with Python and basic statistics)

Co-requisites

None

School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description

Description: This unit gives a general introduction to the ideas and the tasks of Artificial Intelligence, with an emphasis on their applications across a range of disciplines, their impact on science and industry, and on their mathematical foundations.

Aim: The aim of the unit is to give a broad overview of the field of Artificial Intelligence (AI), covering a range of different topic areas and presenting fundamental techniques and algorithms. Students will be able to put this knowledge into practice by building a system which uses AI to solve a problem. For this reason, it is essential that students have experience and be comfortable with the Python language.

Intended learning outcomes

After successfully completing this unit, you will be able to understand fundamental areas within Artificial Intelligence (AI) and how to build a system which uses AI to solve a problem.

Teaching details

Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures and project supervision

Assessment Details

Exam in TB1 exam period (50%)
Group project due at the end of TB2 (50%)

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMAT31530).

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