Akademik Dersler - Tanıtım

Last Updated: 20/10/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
RSÖ642 - Practice Based Artificial Intelligence in Art and Design	II. SEMESTER	3 +0	7.5

Language of Instruction	Türkçe
Course Type	Elective Courses
Course Instructor(s)	PROF. DR. SUZAN DUYGU ERİŞTİ
Mode of Delivery	Face to face
Place of Delivery	On Campus
Used Educational Platforms	Face-to-face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	None
Recommended Resources	Bedir Erişti, S. D. (2024). Görsel iletişimde yapay zekâ ve yapay zekâ sanatı. S. D. Bedir Erişti (Ed.), Yeni Medya ve Görsel İletişim Tasarımı içinde (ss. 199-232). Ankara: Pegem Akademi.Gunkel, D. J. (2023). A moral and legal ontology for the 21st century and beyond. The MIT Press. https://doi.org/10.7551/mitpress/14983.001.0001Khandogin, R. (2023). Digital and postdigital art: From aesthetics of a subject to the ontology of an object. Management and Administrative Professional Review, 14(10), 18949-18962.Manovich, L. (2018). AI aesthetics. Moscow: Strelka Press.
Work Placement	None
Aims of the Course	The aim of this course is to enable students to interpret the concepts of artificial intelligence, posthumanism, algorithmic aesthetics, and post-digital aesthetics through contemporary art practices, and to relate the historical and technological development of post-digital art to current global applications. Within the scope of the course, it is intended that students use artificial intelligence creatively and symbiotically in their artistic and design production processes; develop and present AI-supported art projects using a participatory public space pedagogy and a collective creativity approach; and evaluate these processes within the framework of algorithmic bias, data ethics, copyrights, and digital justice.

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Post-Digital Aesthetics and Art: Historical and Technological Background
Week - 2		Posthumanism and the Transformation of the Creative Subject
Week - 3		Algorithmic Aesthetics and Design
Week - 4		The Nature of Symbiotic Production and Creative Strategies
Week - 5		Advanced Prompt Engineering: Creative Prompting, Creative Coding, and Generative Visual Data
Week - 6		Synthetic Visual Culture: Hybrid Creativity and Aesthetics
Week - 7		Algorithmic Bias and Digital Justice
Week - 8		Midterm Review: Conceptualizing Art Projects Based on Drafts
Week - 9		Explainable AI (XAI): Artistic Transparency and Ethical Production
Week - 10		Creative Workflow Strategies and Participation Design
Week - 11		Interactive Art and Possibilities of Participatory Pedagogy: Public Pedagogy
Week - 12		Implementation Process of Collective Creativity-Oriented Conceptual Projects
Week - 13		Project Prototyping and Feedback Loops
Week - 14		Exhibition, Discussion, and Structuring Public Space Interaction Strategies

Quality Education

Educational Sciences and Educational Technologies Communication Technologies and the IoT Media, Design and Creative Arts Artificial Intelligence Innovation Skills

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Assessment Method and Passing Requirements
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