Information Package

Program of Photography and Cameraman Operation

FKM180

ARTIFICIAL INTELLIGENCE AND IMAGE GENERATION

Course Code
FKM180
Semester
-
Theory+Practice
3 + 0
ECTS
4
Course TypeElective Course
Course LevelAssociate Degree
Year of Study-
Semester-
ECTS4
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Explain fundamental concepts related to artificial intelligence and generative artificial intelligence.
  2. Describe the basic operating principles of AI-assisted image generation systems.
  3. Produce original images with different visual characteristics using AI tools.
  4. Edit, transform, and enhance existing images through AI-assisted methods.
  5. Develop a creative visual project based on a specific theme or communication objective using AI technologies.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNon.
Course DescriptionThis course covers the fundamental concepts of artificial intelligence and generative AI, AI-assisted image generation technologies, and their applications in photography and visual communication. Topics include text-to-image generation, effective prompt writing, defining composition, lighting, color, perspective, and visual style, AI-assisted image editing and transformation, comparison of different image generation approaches, and the development of creative visual projects. AI-generated images are also critically examined in relation to originality, reality, representation, copyright, ethics, and misleading visual content.
Course Contents
WEEK TOPICS
1st Week Introduction to artificial intelligence: Fundamental concepts of AI, machine learning, and generative AI
2nd Week Development of AI and visual production; fundamental principles of generative image technologies
3rd Week Introduction to text-to-image generation: Prompt structure and basic image generation practices
4th Week Effective prompt writing: Defining subject, environment, composition, point of view, and visual details
5th Week Photographic language and AI: Defining shot size, camera angle, perspective, lens characteristics, and depth of field
6th Week Creating lighting, color, atmosphere, and visual style with artificial intelligence
7th Week Advanced prompting practices: Generating variations, refining prompts, and evaluating generated images
8th Week Midterm Examination
9th Week Image-to-image generation: AI-assisted reinterpretation and transformation of existing images
10th Week AI-assisted image editing: Image expansion, object addition/removal, and image enhancement
11th Week AI applications in photography, advertising, illustration, and visual communication
12th Week Reality, representation, bias, and misleading visual content in AI-generated imagery
13th Week Ethics, copyright, originality, and authorship in AI-assisted visual production
14th Week Development and implementation of an AI-assisted creative visual project
Recommended or Required ReadingCurrent academic studies on artificial intelligence, creativity, and visual production, including works edited by Elgammal, A.
Manovich, L. Studies on artificial intelligence, new media, and visual culture.
Current user guides and technical documentation for AI-assisted image generation systems.
Course notes and practical materials on artificial intelligence, photography, and visual production provided by the instructor.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Practice
  • Project
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
Language of InstructionTurkish
Work Placement(s)No
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