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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. Faculty of Communication Sciences
  2. Department of Public Relations and Advertising (30% English)
  3. Course Structure Diagram with Credits
  4. Artificial Intelligence
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 24/03/2026

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
BİL441 - Artificial Intelligence VII. SEMESTER 3 +0 4.5
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) ÖĞR. GÖR. DR. HANDE TİRYAKİ
Mode of Delivery The mode of delivery of this course is face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Artificial Intelligence: Historical Perspective
Week - 2 Learning from Data: Understanding Data, Types, and Sources
Week - 3 Introduction to Machine Learning
Week - 4 Descriptive Models in Machine Learning
Week - 5 Predictive Models in Machine Learning
Week - 6 Introduction to Deep Learning
Week - 7 Generative Artificial Intelligence
Week - 8 Natural Language Processing
Week - 9 Artificial Intelligence Applications in the field of Public Relations and Advertising
Week - 10 Artificial Intelligence Ethics
Week - 11 Developing Artificial Intelligence Strategy
Week - 12 Implementing Artificial Intelligence Solutions in the field of Public Relations and Advertising
Week - 13 Case Studies
Week - 14 Case Studies

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Final Exam 1 60
Homework 1 40
Toplam (%) 130

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