Overview
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Academic contacts
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Offerings
DUBAI-ISC-TJD-INT-2024-2024
DUBAI-ISC-TMD-INT-2023-2023
DUBAI-ISC-TMD-INT-2025-2025
DUBAI-ISC-TSD-INT-2024-2024
KAPLAN-SGP-TJA-INT-2024-2024
KAPLAN-SGP-TMA-INT-2023-2023
KAPLAN-SGP-TMA-INT-2025-2025
KAPLAN-SGP-TSA-INT-2024-2024
MURDOCH-S2-EXT-2021-ONGOING
MURDOCH-S2-INT-2021-ONGOING
Requisites
Prerequisite
Exclusion
Other learning activities
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Learning activities
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Learning outcomes
1.
Communicate basic intelligent systems concepts including the theory, operation and strengths and weaknesses of state machines, expert systems, fuzzy logic engines, neural networks, genetic algorithms data mining tools and intelligent agents
2.
Evaluate an appropriate intelligent technique to solve a given problem
3.
Employ off-the-shelf intelligence tools, including expert system shells artificial neural network and other simulators for solving problems
4.
Explain the importance of representation and search in problem solving
5.
Practise using applied knowledge in problem solving
6.
Evaluate the capability of an intelligent system to solve a real problem
Assessments
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