Information Package / Course Catalogue
Ai-Powered Image Generation
Course Code: RTS319
Course Type: Area 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 objective of this course is to provide students with the cinematographic, aesthetic, and technical foundations of AI-driven image and video generation. Throughout the course, students will learn to integrate traditional cinematic language (lighting, composition, lens selection, art direction) with AI algorithms, utilize artificial intelligence as a creative assistant in pre-production processes, and develop innovative storytelling methods in moving image production. Furthermore, by discussing the ethical, copyright, and labor implications of AI in the film industry, the course aims to prepare students as visionary and ethically responsible content creators for the future of the media landscape.

Course Content

This course covers the fundamental use of AI-backed visual generation tools and the integration of these technologies into creative processes in cinema and television. Throughout the semester, students will explore core application areas such as text-to-image/video generation, AI-driven concept art, visual storyboarding, and digital editing assistance. In addition to technical tools, the adaptation of AI use to cinematographic rules, copyright issues, and ethical debates constitute the core elements of the course. By the end of the semester, students are expected to develop a practical project that combines these tools with traditional filmmaking workflows.

Name of Lecturer(s)
Learning Outcomes
1.Applies traditional cinematic language, including camera angles, shot sizes, lens types, and lighting designs, using accurate prompts in AI visual generation tools.
2.Analyzes character and setting consistency required for cinematic narrative using advanced parameters of AI tools and maintains visual continuity across scenes.
3.Integrates AI-generated static images, videos, audio, music, and editing elements to create a cohesive cinematic workflow.
4.Critically discusses and evaluates ethical issues brought by AI usage in the cinema and media industries, such as copyrights, actor rights, deepfakes, and manipulation.
5.Designs an original short cinematic project with narrative value, utilizing AI tools as a creative assistant from the concept stage through to the final edit.
Recommended or Required Reading
1.https://nofilmschool.com/the-real-ai-revolution-in-filmmaking-is-happening-behind-the-scenes
2.Runway. (t.y.). Runway academy: Learning generative video and AI tools. Erişme tarihi: 26 Mayıs 2026, https://learn.runwayml.com/
3.Midjourney. (t.y.). Midjourney documentation: Prompts, parameters, and cinematic styling. Erişme tarihi: 26 Mayıs 2026, https://docs.midjourney.com/
4.Curious Refuge. (t.y.). AI filmmaking: The ultimate guide to creating films with artificial intelligence. Erişme tarihi: 26 Mayıs 2026, https://curiousrefuge.com/
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to AI-driven visual generation, its role in cinema, basic interface usage, and first text-to-image trials.
Week 2 - Theoretical & Practice
Translating cinematic language (camera angles, shot sizes, and lenses) into prompt language and generating cinematic frames in various sizes.
Week 3 - Theoretical & Practice
Controlling light, color palettes, and atmosphere with AI and recreating the same scene with different cinematic tones.
Week 4 - Theoretical & Practice
Director aesthetics and genre analysis, and designing images that bear the visual signatures of specific directors
Week 5 - Theoretical & Practice
Developing ideas and synopses with text-based AI in pre-production, and creating a short film story and character concepts with AI assistance.
Week 6 - Theoretical & Practice
Visual continuity and methods for ensuring character/setting consistency, and consistently generating a specific character across different shots and emotions.
Week 7 - Theoretical & Practice
Digital Storyboard and Moodboard design, and visualizing the written script scene by scene to create storyboard sets.
Week 8 - Theoretical & Practice
Introduction to video generation tools (Text/Image-to-Video) and animating static photos with cinematic camera movements.
Week 9 - Theoretical & Practice
Motion control, continuity, upscaling methods in video generation, and merging different AI video clips to produce micro-scenes.
Week 10 - Theoretical & Practice
Audio generation (music, foley, voice-over) with AI and adding atmospheric sound, music, and dubbing to generated videos using AI.
Week 11 - Theoretical & Practice
Smart assistant tools in editing software (masking, color matching) and editing generated AI footage on a timeline according to cinematic rhythm.
Week 12 - Theoretical & Practice
Compositing traditional footage with AI visuals within hybrid cinema and adding AI elements onto real video footage.
Week 13 - Theoretical & Practice
AI ethics in cinema (deepfake, copyrights, actor rights) and analyzing misleading visuals along with content verification practices.
Week 14 - Theoretical & Practice
Future of cinema (personalized content, real-time rendering) and screening and critique of the AI-backed short film projects produced throughout the semester.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures5%5
Assignment3%15
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140228
Assignment45540
Midterm Examination110111
Final Examination130131
TOTAL WORKLOAD (hours)124
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
4
3
5
5
OÇ-2
3
4
4
5
5
OÇ-3
5
5
4
3
3
5
OÇ-4
5
5
5
OÇ-5
5
4
5
5
4
5
4
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026