Module: Foundations of Artificial Intelligence

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Foundations of Artificial Intelligence
Module Code	CA686I
School	School of Computing
Module Co-ordinator	Semester 1: Mark Humphrys Semester 2: Mark Humphrys Autumn: Mark Humphrys
Module Teachers	Mark Humphrys
NFQ level	9	Credit Rating	7.5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Repeat examination
Repeat both the CA and the exam.

Description

This module will provide students with a theoretical and practical grounding in the most important foundational topics in Artificial Intelligence, e.g. AI as search, problem solving, machine learning, machine evolution, perceiving and acting.

Learning Outcomes

1. Gain a detailed understanding of the general topic of artificial intelligence, including its philosophical foundations, and present status and future developments.
2. Understand, code and evaluate search techniques in AI, including constraint satisfaction, heuristic search and adversarial search.
3. Understand, code and evaluate computational evolution techniques in AI, including genetic algorithms to solve large-dimensional problems.
4. Understand, code and evaluate machine learning techniques in AI, including some or all of supervised learning, neural networks, knowledge in learning, probabilistic learning, and reinforcement learning.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	36	No Description
Assignment Completion	24	No Description
Independent Study	120	No Description
Total Workload: 180

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Assessment Breakdown
Continuous Assessment	40%	Examination Weight	60%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Digital Project	AI coding project.	40%	n/a

Reassessment Requirement Type
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

Stuart Russell, Peter Norvig: 2016, Artificial Intelligence: A Modern Approach,,

Other Resources

None

Programme or List of Programmes

MCM	M.Sc. in Computing

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