Information Package / Course Catalogue
Artificial Intelligence and Next-Generation Animation
Course Code: İLT316
Course Type: Non Departmental Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 2
Credit: 2
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is to equip students with both theoretical knowledge and practical skills related to AI-assisted animation production. Students will gain experience in creating original stories, scripting, designing characters and scenes, and producing animations using various artificial intelligence tools.

Course Content

The course will cover the integration of artificial intelligence technologies into creative storytelling, including AI-assisted story development, scriptwriting, character and scene storyboarding, and the use of production tools such as Sora, Runway, and Kling. Students will produce a short animated film individually or in groups, approaching the process with a design-oriented mindset.

Name of Lecturer(s)
Learning Outcomes
1.Understands the fundamental processes of animation production with artificial intelligence.
2.Can create a short film story using various artificial intelligence tools.
3.Can perform AI-assisted scriptwriting and storyboard creation.
4.Can produce animations using various artificial intelligence models.
5.Can complete creative digital projects individually or through teamwork.
Recommended or Required Reading
1.Funge, J.D. (1999). AI for Games and Animation: A Cognitive Modeling Approach, Routhledge.
2.Hudson, J. & Smith, A. (2025). Cinematic Algorithms The Rise of Generative AI in Video Art and Visual Culture, Routhldge
3.Lev Manovich - AI Aesthetics
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to AI and Animation: Evolution of artificial intelligence in animation production processes. Logic and basic concepts of Generative AI
Week 2 - Theoretical & Practice
AI-Supported Story and Script: Establishing interactive dramatic structure, developing character motivations, and dialogue writing with Large Language Models (LLM)
Week 3 - Theoretical & Practice
Visual Production and Prompt Engineering: Working logic of Text-to-Image models (Midjourney, Stable Diffusion, etc.). Prompt design and determining visual aesthetics
Week 4 - Theoretical & Practice
Character and Style Consistency: Techniques for producing the same character consistently from different angles and in different environments (e.g., specific anime, manga, or 3D style), which is the biggest challenge in AI productions
Week 5 - Theoretical & Practice
Scene Design and Storyboard: Concept art production with AI tools. Visualizing the script into sequential panels and transforming it into a detailed storyboard
Week 6 - Theoretical & Practice
Transition from Text/Image to Video (T2V & I2V): Introduction to moving image production models (Sora, Runway, Kling, etc.). Control of camera movements and physical dynamics
Week 7 - Theoretical & Practice
Sound, Music, and Dialogue Production: Sound design with artificial intelligence. Character voicing with Text-to-Speech (TTS) tools and original soundtrack production with AI music generators (Suno, Udio, etc.)
Week 8 - Theoretical & Practice
Midterm Exam Week: Jury evaluation of students' scripts, character design boards, and storyboard files
Week 9 - Theoretical & Practice
Editing and Compositing (Post-Production): Combining scattered video, sound, and music clips produced with AI. Rhythm and sequence construction with AI-supported editing programs (CapCut, Premiere AI, etc.)
Week 10 - Theoretical & Practice
Editing and Compositing (Post-Production): Combining scattered video, sound, and music clips produced with AI. Rhythm and sequence construction with AI-supported editing programs (CapCut, Premiere AI, etc.)
Week 11 - Theoretical & Practice
Troubleshooting and Revision: Masking/correcting visual deformations (artifacts), limb errors, and inconsistencies in AI-generated videos during editing or with additional tools
Week 12 - Theoretical & Practice
AI Ethics and Future Business Models: Copyrights, plagiarism debates, algorithmic biases in AI productions, and labor transformation in the sector
Week 13 - Theoretical & Practice
Studio: Short Film Production (Act I): Production phase of individual or group projects. In-class evaluation (Peer-review) of rough cuts
Week 14 - Theoretical & Practice
Project Finalization: Final checks, credit designs, and render processes of animation projects
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures5%5
Project1%25
Quiz1%10
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141128
Lecture - Practice141242
Project123225
Individual Work110010
Quiz1000
Midterm Examination115520
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
4
4
3
4
3
2
2
3
2
2
4
3
3
2
3
OÇ-2
4
4
4
4
3
3
2
4
3
2
4
4
3
3
3
OÇ-3
4
4
5
4
3
3
2
5
4
2
4
4
4
3
4
OÇ-4
5
4
5
5
3
3
2
4
4
2
5
4
4
3
4
OÇ-5
4
3
5
4
3
3
2
4
4
3
4
4
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026