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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Fine Arts Education
  3. Master of Arts (MA) in Art Education
  4. Master of Arts (MA) in Arts and Crafts Education Program (With Thesis)
  5. Course Structure Diagram with Credits
  6. Artificial Intelligence and Creativity
  7. Description
  • Description
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Last Updated: 07/06/2026

Code - Course Title Course Type Laboratory + Practice ECTS
RSÖ526 - Artificial Intelligence and Creativity II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. SUZAN DUYGU ERİŞTİ
Mode of Delivery The mode of delivery of this course is Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Not applicable
Recommended Resources Erişti, S. D. (2019). Yeni medya ve görsel iletişim tasarımı. Ankara: Pegem Akademi.Erişti S. D. (2023). Kültür, sanat ve eğlencenin dönüşümü. M. R. Okur & Ö. Ö. Dursun (Ed.), Dijital Dönüşüm içinde (ss. 89-109). Eskişehir: Anadolu Üniversitesi Yayınları.
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Artificial Intelligence and Contemporary Artistic Processes: The role of AI in contemporary art, design, and production processes.
Week - 2 Pedagogical, Technological, and Socio-Cultural Variables: The effects of artificial intelligence platforms on learning, production, access, and cultural representation.
Week - 3 Natural Language Processing and Large Language Models: The use of NLP- and LLM-based artificial intelligence tools in creative text production.
Week - 4 Prompt Design and Creative Prompt Development: Creative prompts, creative strategies in prompt production, and the construction of a visual communication design language in prompt design.
Week - 5 Text-Based Artificial Intelligence Content: Critical inquiry into conceptual frameworks, manifestos, and narratives related to art and artistic interaction through AI-based approaches.
Week - 6 Visual Generative Artificial Intelligence and Digital Image: Visual production tools in relation to composition, style, atmosphere, and representational capacity.
Week - 7 Midterm Assessment and Process Portfolio: Evaluation of students’ concept, prompt, text, and visual production portfolios and creative processes.
Week - 8 Sound and AI-Supported Auditory Design: The production of sound, music, narrative voice, and auditory atmosphere through artificial intelligence.
Week - 9 Video, Animation, and Time-Based Media: AI-supported video, animation, storyboard, and moving image composition.
Week - 10 Algorithmic Thinking and Digital Aesthetics: Reflections of algorithmic thinking, digital aesthetics, and the posthuman approach on creative processes
Week - 11 Design Principles and Media Elements: AI production strategies based on color, composition, typography, rhythm, balance, and visual coherence.
Week - 12 Target Audience and Storytelling: Perception strategies appropriate for the target audience and AI-supported storytelling approaches.
Week - 13 Copyright, Privacy, Security, and Ethics: Copyright, data security, privacy, representation, and ethical responsibilities in the use of artificial intelligence.
Week - 14 Final Project and Sustainable Design Practices: Production, presentation, and critical inquiry of AI-supported art/design projects.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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