Course Catalogue

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Machine learning is a rapidly evolving field that involves developing algorithms capable of learning, adapting to new data, and providing valuable insights, predictions, and representations of the data. The course is designed to equip students with the knowledge and skills necessary to make informed decisions and develop strategies using machine learning tools. It is ideal for those seeking a comprehensive understanding of this field.

The course will be delivered on a blended mode that includes active learning workshops over 6 sessions.

Please refer to the current postgraduate prospectus and https://www.gla.ac.uk/postgraduate/.

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The course will be assessed by

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This course aims to provide students with a strong foundation in both the theoretical concepts and practical techniques (methods and algorithms) of machine learning in data science. By providing a comprehensive understanding of these cutting-edge tools, students will be empowered to apply them to complex problems in changing environments.

By the end of this course students will be able to:

1. Formulate an applied problem as a machine learning task and select appropriate methods to address specific economic issues.

2. Evaluate and validate different machine learning methods for a given task, provide constructive criticism, and engage in effective teamwork to enhance model selection.

3. Develop and refine implementations of machine learning algorithms collaboratively, applying them effectively in practical situations while leveraging teamwork for excellence.

4. Analyse and interpret insights extracted from machine learning methods and the data utilised, fostering collaborative discussions within the team to derive meaningful conclusions and implications for economic analysis.

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.