Highlights
Module Learning Outcomes
1. Select and apply appropriate AI algorithms and methodologies, with consideration for optimisation and scale to meet business objectives and performance targets.
2. Critically evaluate AI-methodologies through experimental design, exploratory modelling, and hypothesis testing
3. Critically analyse techniques for the extraction of data from systems, ensuring standards of data quality and consistency for processing by AI-systems
4. Identify and discuss appropriate application areas and problems for current AI techniques, such as: neural network, deep learning, genetic algorithms and local search approaches
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