Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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    • English English
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
  • Graduate School of Sciences
  • Visual Communication and Digital Media-Master without Thesis
  • Course Structure Diagram with Credits
  • Digital Media and Artificial İntelligence
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İLT561 - Digital Media and Artificial İntelligence
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT BURÇİN YERSEL
Mode of Delivery face to face
Prerequisites there is no prerequisities for the course
Courses Recomended
Recommended Reading List
Assessment methods and criteria midterm exam and final exam
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Digital Media and Artificial Intelligence Basic Concepts
Week - 2 Digital Transformation and Communication
Week - 3 The Role of Artificial Intelligence in Media and uses in Media
Week - 4 Fundamentals of Digital Media and Artificial Intelligence: Machine Learning, Digital Media Types and Features
Week - 5 Role in Data Collection, Analysis and Communication
Week - 6 Artificial Intelligence and Content Production: Automated Content Generation,chatboats
Week - 7 mid term exam
Week - 8 Synthetic Media and Ethics
Week - 9 Personalization and Consumer Behavior
Week - 10 Artificial Intelligence Supported Marketing, Artificial Intelligence in Digital Advertising,
Week - 11 Content Production with Artificial Intelligence
Week - 12 Content Production and Management Processes,
Week - 13 Content Production and Management Processes, Content Analysis; Artificial Intelligence and Innovation, Innovative Applications, Future Trends
Week - 14 Media Content Development

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Work in teams
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • To work autonomously
  • Decision making
  • To work in interdisciplinary projects
  • Project Design and Management
  • To work in international projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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