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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Lifelong Learning and Adult Education
  3. Department of Lifelong Learning and Adult Education
  4. Program in Lifelong Learning and Adult Education (Master's Program with Thesis)
  5. Course Structure Diagram with Credits
  6. Artificial Intelligence Applications for Lifelong Learning
  7. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 14/05/2026

Code - Course Title Course Type Laboratory + Practice ECTS
HÖY505 - Artificial Intelligence Applications for Lifelong Learning I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ EMEL GÜLER
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites Participants are expected to have a basic level of digital literacy.
Courses Recomended -
Recommended Resources Learning resources will be shared during the course.
Work Placement There is no internship/practice activity within the scope of our course.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Basic Concepts of Artificial Intelligence
Week - 2 Generative AI Ecosystem
Week - 3 Effective Communication: The Basics of Writing Prompts
Week - 4 Prompt Engineering and Advanced Scenarios
Week - 5 Virtual Assistants in Daily and Academic Life
Week - 6 AI-Powered Productivity and Text Generation
Week - 7 Visual Design with Generative AI
Week - 8 Audio and Video Tools with Generative AI
Week - 9 Data Verification, Ethics and Security
Week - 10 Examples of Artificial Intelligence Use in Different Disciplines
Week - 11 Personalized Learning with Artificial Intelligence
Week - 12 Artificial Intelligence and Future Trends
Week - 13 Project Presentations
Week - 14 Project Presentations

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

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