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Week - 1
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Introduction to the scope and objectives of the course; review of the basic knowledge and skills acquired in the first course; introduction to advanced AI applications. |
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Week - 2
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Advanced prompt design; multi-step prompting, output refinement, and context-sensitive use of AI for different musical purposes. |
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Week - 3
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Repertoire planning and pedagogical content development with AI; creating teaching materials and practice suggestions for different levels and goals. |
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Week - 4
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Performance analysis and self-assessment processes; monitoring, classifying, and improving one’s own practice with AI support. |
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Week - 5
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Advanced applications in interpretation; comparative evaluation of expression, character, tempo, structure, and stylistic decisions with AI support. |
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Week - 6
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Concert concept and curatorial thinking; designing thematic concerts, establishing interdisciplinary connections, and developing presentation language for target audiences. |
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Week - 7
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AI-assisted digital content production; designing educational videos, short promotional films, concert announcements, and social media content. |
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Week - 8
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Midterm evaluation; students present project proposals including topic, aim, method, and expected outcomes for their semester projects. |
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Week - 9
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Use of AI in composition and arrangement; generating melodic, rhythmic, and structural sketches and evaluating them according to musical criteria. |
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Week - 10
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Staging, narration, and presentation design; planning concert flow, audience communication, and artistic presentation language with AI support. |
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Week - 11
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Digital portfolio and archive creation; organizing, documenting, and structuring student work for professional presentation. |
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Week - 12
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Artistic originality and critical evaluation; determining the limits of AI use, risks of imitation, aesthetic quality, and human contribution. |
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Week - 13
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Final project development workshop; reviewing students’ project content in terms of scope, method, ethical appropriateness, and presentation quality. |
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Week - 14
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Final project presentations and overall evaluation; students present their AI-assisted musical production, analysis, or digital content projects. |
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