Akademik Dersler - Tanıtım

Course Introduction Information


Code - Course Title	RTV1003 - Media and Artificial Intelligence
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+1
ECTS	4.0
Course Instructor(s)	ÖĞRETİM GÖREVLİSİ BARIŞ YİĞİT
Mode of Delivery	The course is conducted through face-to-face instruction and incorporates theoretical lectures, practical exercises, case studies, hands-on content development using artificial intelligence tools, and project-based learning activities designed to enhance students’ analytical, creative, and professional competencies.
Prerequisites	No prerequisite or co-requisite courses are required.
Courses Recomended	None.
Required or Recommended Resources	No mandatory textbook is prescribed for this course. Students are encouraged to follow current academic publications, industry reports, and relevant institutional resources related to artificial intelligence and media.
Recommended Reading List	Ethical Guideline on the Use of Artificial Intelligence (YÖK - Council of Higher Education)(Yapay Zeka Kullanımına Dair Etik Rehber - YÖK)Generative Artificial Intelligence Guide (TÜBİTAK)(Üretken Yapay Zeka Rehberi - TÜBİTAK)Current academic articles on the relationship between artificial intelligence and media.(Yapay zeka ve medya ilişkisi üzerine güncel akademik makaleler.)Technical reports on generative artificial intelligence applications.(Üretken yapay zeka uygulamalarına ilişkin teknik raporlar.)Research on digital media transformation and algorithmic content production.(Dijital medya dönüşümü ve algoritmik içerik üretimi konulu araştırmalar.)UNESCO Recommendation on the Ethics of Artificial Intelligence.(UNESCO Yapay Zeka Etiği Tavsiye Kararı.)Summary reports on the European Union Artificial Intelligence Act (AI Act).(Avrupa Birliği Yapay Zeka Yasası (AI Act) özet raporları.)
Assessment methods and criteria	1 Midterm Exam (30%) 1 Final Exam (40%) 1 Project Assignment (30%)
Work Placement	There is no mandatory internship required within the scope of this course. However, students conduct practical assignments and/or a term project aimed at developing AI-supported media content. These applications can be carried out individually and/or through group work.
Sustainability Development Goals

Content

Weeks	Topics
Week - 1	Evolution of Media Environments and AI Paradigm
Week - 2	General AI and Generative AI: Architecture and Logic
Week - 3	Transformation in Media: Algorithmic Content & Narratives
Week - 4	Typology of Generative Models: Text, Image, and Audio
Week - 5	Logic of Prompt Engineering: Effective Comm. & Design
Week - 6	Textual Production: Structuring, Toning and Formatting
Week - 7	Reconstruction of Visual Language via AI
Week - 8	Discussion on Current Literature
Week - 9	Multi-modal Content Dev: From Text to Image and Video
Week - 10	Audio Media and AI: Voice, Music and Synthetic Narratives
Week - 11	Content Optimization: Editing, Simplifying and Analysis
Week - 12	Ethics of Synthetic Content: Copyright, Verification and Trust
Week - 13	Practice: AI-Supported Integrated Media Design
Week - 14	Project Presentations and Discussion on Future of Media

Learning Activities and Teaching Methods

Teaching Methods
Lecture
Discussion
Question & Answer
Team/Group Work
Demonstration
Drill - Practise
Case Study
Report Preparation and/or Presentation
Proje Design/Management
Competences
Productive
Questoning
Creative
Follow ethical and moral rules
Effective use of Turkish
Work in teams
Eleştirel düşünebilme
Problem solving
Information Management
Organization and planning
Decision making
Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0