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Week - 1
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Introduction to the concept of artificial intelligence; differences between artificial intelligence, machine learning, and generative AI; general overview of the main areas of use in music. |
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Week - 2
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AI literacy for musicians; effective questioning, prompt construction, output interpretation, and evaluation of AI responses in terms of accuracy. |
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Week - 3
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Use of AI in music theory and formal analysis; examination of musical works in terms of form, motif, phrase structure, and basic harmonic relationships |
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Week - 4
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AI support in instrumental practice processes; developing individual practice plans, identifying technical problems, and generating level-appropriate exercise suggestions. |
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Week - 5
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Use of AI in interpretation and stylistic development; evaluation of analytical guidance on historical style, expression, articulation, tempo, and musical character. |
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Week - 6
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Repertoire selection and comparative listening studies; examining work suggestions in line with the student’s level, technical needs, and artistic goals. |
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Week - 7
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Use of AI in writing program notes, concert descriptions, and short artist biographies; discussion of the differences between academic and promotional text types. |
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Week - 8
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Midterm evaluation; students present a short AI-assisted application or presentation based on a selected work, practice problem, or musical topic. |
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Week - 9
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Digital musicianship and content production; preparing concert announcements, social media texts, video descriptions, and short promotional content with AI support. |
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Week - 10
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Introduction to composition and creative production tools; generating melodic ideas, creating accompaniment sketches, and evaluating AI outputs in terms of musical quality. |
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Week - 11
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Use of AI in music education; examination of personalized learning, feedback generation, and supportive digital models in teaching processes. |
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Week - 12
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Ethics, copyright, privacy, and academic integrity; discussion of responsibility, source use, and artists’ rights in AI-generated content. |
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Week - 13
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Final project preparation workshop; reviewing students’ end-of-term projects in terms of scope, content, method, and presentation format. |
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Week - 14
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Final project presentations and overall evaluation; students present their AI-assisted musical analysis, production, or application portfolios. |
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