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LO-1
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Explains the concepts of artificial intelligence, machine learning, and generative AI in the context of music. |
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LO-2
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Identifies the main areas of AI use in music theory, musical analysis, instrumental practice, and repertoire development. |
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LO-3
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Produces basic prompts for musical purposes and evaluates the outputs in terms of accuracy, relevance, and functionality. |
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LO-4
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Prepares an individual instrumental practice plan, repertoire suggestion, and interpretation outline with AI support. |
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LO-5
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Produces and revises music-related texts such as program notes, concert descriptions, and short artist biographies with AI support. |
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LO-6
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Observes the principles of ethics, copyright, privacy, and academic integrity in AI-assisted musical analysis, content production, and creative practices. |
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LO-7
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Uses AI tools critically in music-related applications and distinguishes their strengths and limitations. |
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LO-8
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Presents an AI-assisted musical analysis, application, or short project at the end of the semester. |
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LO-9
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Uses AI tools at an advanced level in the field of music. |
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LO-10
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Develops AI-supported solutions in repertoire, performance analysis, and pedagogical content production. |
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LO-11
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Produces AI-assisted drafts for interpretation, digital content, and creative production. |
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LO-12
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Evaluates AI outputs in terms of originality, ethics, and functionality. |
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LO-13
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Develops and presents an AI-assisted musical production or application project. |
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LO-14
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Develops AI use strategies suitable for their own needs. |