Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Türkçe
About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Porsuk Vocational School
  • Dep.of Audio-Visual Tech. and Media Production
  • Program in Printing and Publishing Technologies
  • Course Structure Diagram with Credits
  • AI-Supported Publishing and Content Production
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title BYT2501 - AI-Supported Publishing and Content Production
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+1
ECTS 4.0
Course Instructor(s) ÖĞRETİM GÖREVLİSİ DOKTOR OKAN AKSU
Mode of Delivery Face to face.
Prerequisites None.
Courses Recomended Yoktur.
Required or Recommended Resources Russell S, Norvig P, Artificial Intelligence A Modern Approach; McKinsey Global Institute Reports on AI; OpenAI Documentation; Adobe Creative Cloud Learning Resources; Güncel akademik makaleler ve sektör raporları.
Recommended Reading List Russell S, Norvig P, Artificial Intelligence A Modern Approach; Goodfellow I, Bengio Y, Courville A, Deep Learning; Marr B, Artificial Intelligence in Practice; Anderson C, Free The Future of a Radical Price; Recent academic articles and industry reports.
Assessment methods and criteria 1 midterm exam and 1 final exam.
Work Placement Practice is conducted through project-based applications within the course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 EN: Introduction to Digital Publishing: Digital transformation and key concepts.
Week - 2 EN: Fundamentals of Artificial Intelligence: Concepts, machine learning and types.
Week - 3 EN: Generative Artificial Intelligence: Text and content generation models.
Week - 4 EN: Text Generation Tools: AI-assisted content creation.
Week - 5 EN: Editorial Processes: Content editing and language control.
Week - 6 EN: Visual Production: AI-based image generation techniques.
Week - 7 Visual Production: AI-based image generation techniques.
Week - 8 Use of Artificial Intelligence in Publication Design: Page layout, typography and visual coherence.
Week - 9 Layout Design and Automation: Layout creation, automated formatting and template use.
Week - 10 Content Optimization: SEO, keyword analysis and user-centered content development.
Week - 11 Digital Publishing Platforms: Content management systems, social media and distribution channels.
Week - 12 Ethics and Copyright: Ethical issues, copyright and reliability in AI-supported content production.
Week - 13 Application Development: Preparing an AI-supported digital publishing project and editing content.
Week - 14 General Evaluation: Comprehensive review of AI-supported publishing practices.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Rational
  • Questoning
  • Follow ethical and moral rules
  • Problem solving
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
  • Info on the Institution
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  • PhD / Proficiency in Art
  • Master's Degree
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