| Course Objectives: |
The aim of this course is to explore the impact of artificial intelligence on the production of moving images and to enable students to understand and experiment with AI-assisted creative processes. The course focuses on the relationship between AI and visual storytelling in the context of art, cinema, animation, and new media practices. |
| Course Content: |
The course covers topics such as the history of AI in visual production, image synthesis, text-to-video technologies, machine learning for animation, deepfake techniques, ethical discussions, AI aesthetics, and creative application projects. Students will engage in both theoretical analysis and hands-on experimentation. |
| Week |
Subject |
Related Preparation |
| 1) |
Introduction to AI and Visual Culture |
Intro articles, current examples
|
| 2) |
History of AI and Its Reflection in Cinema |
Watching selected AI-themed films |
| 3) |
Image Synthesis and Generation |
Basics of GANs and algorithms |
| 4) |
Text-to-Image and Text-to-Video AI |
Prompt writing exercises |
| 5) |
Machine Learning in Animation |
Animation with ML |
| 6) |
Deepfake Techniques |
Tools and ethical debates |
| 7) |
Aesthetics of Artificial Intelligence |
Readings on style and artificiality |
| 8) |
Midterm Exam |
/ Review of concepts and practice |
| 9) |
AI-Assisted Storytelling |
AI-based narrative exercises |
| 10) |
Studio Practice I: Midjourney, Runway, D-ID |
/ Tool demonstrations |
| 11) |
Studio Practice II: Synthesia, Pika Labs, Kaiber |
Short video experiments |
| 12) |
Ethics, Copyright, and AI |
Responsibility and rights |
| 13) |
Project Development and Final Prep |
Consultations and drafts |
| 14) |
Final Project Presentations and Review |
Presentations and critique |
| 15) |
Final Project Presentations and Review |
Presentations and critique |
ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
