Information Package

Program of Radio, Television and Cinema

RTS378

ARTIFICAL INTELLIGENCE AND PRODUCTION OF IMAGE

Course Code
RTS378
Semester
-
Theory+Practice
0 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Can explain generative AI models and training processes.
  2. By effectively using prompts, they can produce original visuals.
  3. Evaluate the ethical and legal boundaries of AI-based visual projects.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionThe course explores both static and moving images and thcir production through the lens of tradition and artificinl intelligence, integrating theoretical and practical perspectives. İt aims to provide 4 comprehensive understanding of current applications, emerging potentials, and the ethical implicatioı of visual media within the industry. By combining theoretical insizhts with hands-on experience, the eoürse prepares students With the technical expertise and creative capabilitics needed tv actively contribute to the evolving media landscape.
Course Contents
WEEK TOPICS
1st Week Artificial Intelligence: Basic Concepts and History Machine learning, deep learning, generative artificizl intelligence.
2nd Week Artificial Intelligence and Media Economic Policy. Artificial Intelligence in Image Production and Current and Future Trends.
3rd Week Ethical debates:Copyright Arificial Intelligence and its Relationship with Creativity.
4th Week Artiicial Intelligence and Photographic Image; Theory and Practice. Application 1. Creating photographs with artificial intelligence.
5th Week Artificial Intelligence and Transforming Narrative and Plot Structure Effective commands for prompt and senario writing.
6th Week Creating concept art and storyboards with artificial imelligence tools.
7th Week Midterm Exam.
8th Week Artificial intelligence Applications in Cinemati Image Production from Concept to Storyboard.
9th Week Character development and dialogue generation with artificial intelligence tools. Background creation; AI-based green secreen and virtual set design - Application 2: Shooting a short dialogue scene (Al-avatar + text to video conversion)
10th Week Sound Design and Music Production with AI Add AI-generated music and sound efTects appropriate to the scenario. Use of artificial intelligence music composition platforms, Sound synthesis and voiceover applications.
11th Week Artificial intelligence-Supported Editing and Post-Production.
12th Week Color correetion with AI tools. Automatic subtitling and muhilingual support.
13th Week Final Project Al-Supported Short Film (Production of'a 3-5 minute short film Integration of'all processes Screenplay. Visual design, shooting, editing and sound.
14th Week Presentations and Feedback.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
  • Practice
  • Project
  • Lecture
  • Discussion
  • Questions/Answers
Assessment Methods and Criteria
Quantity Percentage (%)
Practice 2 30
Project 2 70
Total(%) 100
Contribution of In-term Studies to Overall Grade(%) 100
Contribution of Final Examination to Overall Grade(%) 0
Total(%) 100
Language of InstructionTurkish
Work Placement(s)No
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