Learning objectives
The course aims to provide the learner with the basic concepts of machine learning and artificial intelligence, how these are applied to the field of morphological studies and what are the limits and potential of current technologies.
Prerequisites
None
Course unit content
Artificial intelligence is experiencing a period of great development, with applications in everyday life and in the sciences. The course illustrates the basic concepts of machine learning and how these can be applied to help in morphological disciplines
Full programme
Artificial intelligence and machine learning. Predictive models. Supervised and Unsupervised learning. Classification. Regression. Clustering. Neural networks. Deep Learning.
Bibliography
Materials for the course will be provided by the instructor.
Teaching methods
Lectures will be held on-site in compliance with safety standards, provided that further instructions on the ongoing health emergency are not implemented. Supporting material will be available on the specific, student-reserved platform (Elly) and will include slide presentations, audio-video aids or video-recording of the lectures.
Before each class, the instructor will first review the previous topics and assess whether they have been understood, through an interactive discussion with the students.
Assessment methods and criteria
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Other information
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2030 agenda goals for sustainable development
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