Information Package / Course Catalogue
Artificial Intelligence and Contemporary Art Practices
Course Code: BDT114
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

The aim of this course is to enable students to understand how artificial intelligence technologies are used in art and design, to effectively use generative AI tools in creative production processes, to evaluate AI-assisted art productions in esthetic, ethical and theoretical contexts, and to contribute to students' ability to develop original AI-assisted art projects.

Course Content

Historical development of artificial intelligence, generative AI systems, algorithmic art, generative art, NFT and datadriven artistic productions, prompt engineering, text-to-image generation systems, AI-assisted digital illustration, graphic design, photo manipulation, Walter Benjamin’s concept of aura, Baudrillard’s theory of simulation, contemporary AI artists, copyright and ethical issues, and the development of AI-assisted art projects.

Name of Lecturer(s)
Learning Outcomes
1.Explain the fundamental concepts of artificial intelligence.
2.Compare generative artificial intelligence systems.
3.Relate the theoretical approaches of Walter Benjamin and Jean Baudrillard to contemporary art examples.
4.Discuss ethical and copyright-related issues in AI-generated art.
5.Develop and present an original AI-supported art project.
Recommended or Required Reading
1.Benjamin, W. (2012). The Work of Art in the Age of Mechanical Reproduction. Yapı Kredi Publications.
2.Baudrillard, J. (2016). Simulacra and Simulation. Doğu Batı Publications.
3.Manovich, L. (2001). The Language of New Media. MIT Press.
4.Haraway, D. (1991). A Cyborg Manifesto. Routledge.
5.Braidotti, R. (2013). The Posthuman. Polity Press.
Weekly Detailed Course Contents
Week 1 - Theoretical
History of AI-Generated Art Introduction to Artificial Intelligence and Its Relationship with Art
Week 2 - Theoretical
History of AI-Generated Art Introduction to Artificial Intelligence and Its Relationship with Art
Week 3 - Theoretical
Prompt Design and Creative Thinking
Week 4 - Theoretical
Text-to-Image Generation Systems
Week 5 - Theoretical
AI-Assisted Digital Painting and Illustration
Week 6 - Theoretical
Artificial Intelligence and Graphic Design
Week 7 - Theoretical
Artificial Intelligence in Photography and Visual Manipulation
Week 8 - Theoretical
Walter Benjamin and the Concept of Aura
Week 9 - Theoretical
Baudrillard, Simulation, and Hyperreality
Week 10 - Theoretical
AI-Assisted Digital Illustration and Character Design
Week 11 - Theoretical
Contemporary AI Artists, Ethical Issues, and Copyright
Week 12 - Theoretical
AI-Assisted Art Projects
Week 13 - Theoretical
Project Development Workshop
Week 14 - Theoretical
Final Project Presentations
Week 15 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment2%30
Midterm Examination1%10
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Assignment25010
Midterm Examination117017
Final Examination117017
TOTAL WORKLOAD (hours)100
Contribution of Learning Outcomes to Programme Outcomes