Information Package / Course Catalogue
Artificial Intelligence and Next-Generation Animation
Course Code: RTS328
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
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)
Lec. Taner KIZILHAN
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
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Course introduction, student orientation, and a general overview of artificial intelligence technologies
Week 2 - Theoretical & Practice
Overview of the animation production process and AI tools used in animation creation
Week 3 - Theoretical & Practice
Original story creation and scriptwriting with artificial intelligence
Week 4 - Theoretical & Practice
Character and scene design with artificial intelligence
Week 5 - Theoretical & Practice
Storyboard creation with artificial intelligence
Week 6 - Theoretical & Practice
Animation production with different platforms (Sora, Kling, Runway) – Part 1
Week 7 - Theoretical & Practice
Animation production with different platforms (Sora, Kling, Runway) – Part 2
Week 8 - Intermediate Exam
Animation production with different platforms (Sora, Kling, Runway) – Part 3
Week 9 - Theoretical & Practice
Midterm project submission and evaluation
Week 10 - Theoretical & Practice
Evaluation of assignments
Week 11 - Theoretical & Practice
Evaluation of assignments
Week 12 - Theoretical & Practice
Evaluation of assignments
Week 13 - Theoretical & Practice
Evaluation of assignments
Week 14 - Theoretical & Practice
Evaluation of assignments
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Assignment10%20
Project1%50
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice141242
Assignment101120
Project120121
Midterm Examination1516
TOTAL WORKLOAD (hours)131
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
PÇ-16
OÇ-1
3
4
4
OÇ-2
3
4
4
4
4
4
OÇ-3
3
4
4
4
4
4
OÇ-4
3
5
4
5
OÇ-5
4
3
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026