Course Description
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Course Name
Artificial Intelligence, Creativity, and the Arts
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Host University
Universidad Pompeu Fabra
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Location
Barcelona, Spain
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Area of Study
Computer Science, Dance, Music, Studio Art
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Language Level
Taught In English
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ECTS Credits
6 -
Recommended U.S. Semester Credits3
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Recommended U.S. Quarter Units4
Hours & Credits
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Overview
Week 1: Introduction
o What is artificial intelligence and machine learning?
o What is it good for?
o Artificial intelligence in the arts
o Artistic and interactive applications in which AI can be a tool for creativity
Week 2: Classification, Part I
o Basics of classification,
o How to use it to make sense of complex data in a meaningful way?
o Instance-based learning: the nearest-neighbour algorithm
Week 3: Classification, Part II
o Interpretable AI: the decision trees algorithm
o AI free open source tools: Weka, Wekinator
o Real-time AI for artistic creativity
Week 4: Regression, Part I
o Fundamentals of regression
o How can we use it for creating continuous mapping and controls?
o Linear regression
o polynomial regression
Week 5: Regression, Part II
o neural networks
o How to use regression algorithms to create new types of interactions?
o Hands-on practice exploring regression algorithms
o Application of regression algorithms to build your own systems
Week 6: Design Considerations
o what it means to build a good classifier
o Decision trees (revisited)
o Support vector machines
o how learning algorithms can be integrated into your own creative work
o Application of classification algorithms to build your own projects
Week 7: Sensors and Features
o How to apply machine learning to work with multimodal real-time data,
o Audio, video, game controllers, and sensors
o Making sense of the data from different inputs
o Designing feature extractors that make machine learning easier
o developing feature extractors
Week 8: Working with Time
o Algorithms for data over time
o Dynamic time warping
o Gesture following
o Gesture following in the arts
o Appling temporal modeling algorithms to real-time sensor data
Week 9: Machine Learning Practice in Practice and Project
o Overfitting
o Error analysis
o Project design and implementation
Week 10: Health and Well-being implications of the arts
o Art, music and health
o Art Therapy
o Music Therapy
o Implications in stroke rehabilitation, emotional disorders, autism
Course Disclaimer
Courses and course hours of instruction are subject to change.