| Course Objectives: |
The aim of this course is to provide students with an interdisciplinary understanding of digital art, artificial intelligence, and media aesthetics. Students will develop skills in creative production, curatorial thinking, and critical media practice, enabling them to actively engage in the contemporary digital art scene. |
| Course Content: |
This course offers an interdisciplinary exploration of digital art, artificial intelligence, and media aesthetics, combining theoretical foundations with hands-on creative practices. Students will begin by studying the historical development and key concepts of digital art, followed by an examination of how artificial intelligence influences artistic production and aesthetics. Throughout the course, students will engage with curatorial thinking, creative coding, data visualization, and interactive media practices, while also discussing the ethical and social dimensions of emerging technologies in art. The course emphasizes project-based learning through midterm and final exhibitions, where students design and present original media artworks. Additionally, attention will be given to virtual and augmented reality, exhibition strategies, and the integration of art and technology as tools for both critical expression and creative innovation. |
| Week |
Subject |
Related Preparation |
| 1) |
Introduction to Digital Art & Course Overview |
Read: Shanken (2009), Introduction |
| 2) |
Artificial Intelligence & Creativity |
Try: One AI art generator (e.g., DALL·E, Artbreeder) |
| 3) |
Media Aesthetics & Visual Culture |
Read: Excerpt from Manovich, “The Language of New Media” |
| 4) |
Curatorial Thinking & Exhibition Design |
Choose and critique an online or local media art exhibition |
| 5) |
Coding I: Basics & Tools
Yaratıcı |
Set up software and complete a basic sketch |
| 6) |
Creative Coding II: Interaction & Motion |
Watch: p5.js tutorials + document your experiment |
| 7) |
Midterm Project Presentations |
Prepare a 3-minute concept presentation |
| 8) |
Data Visualization & Aesthetic Interfaces |
Choose a dataset and sketch a visual translation |
| 9) |
Virtual & Augmented Reality in Art |
Read: Case study on VR/AR artwork |
| 10) |
Ethics and Society in Digital Art |
Read: Articles on ethics in AI and digital culture |
| 11) |
Final Project Development Workshop |
Bring working prototype and questions |
| 12) |
Curatorial Strategy & Exhibition Planning |
Submit short curatorial text for your work |
| 13) |
Final Project Presentations / Exhibition |
Final project must be exhibition-ready |
| 14) |
Reflection, Evaluation & Documentation |
Submit project documentation & written reflection |