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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 Economics and Administrative Sciences
  2. Department of Labour Economics and Industrial Relations
  3. Course Structure Diagram with Credits
  4. Artificial Intelligence in the Workplace
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 02/03/2026

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
ÇEK322 - Artificial Intelligence in the Workplace VI. SEMESTER 2 +0 5.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ AYÇA GÜZEL ÖZBEK
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites To have knowledge about human resources management functions.
Courses Recomended There are no recommended courses.
Recommended Resources Neksus - Taş Devri\\\'nden Yapay Zekaya Bilgi Ağlarının Kısa Tarihi- Yazar: Yuval Noah Harari, Çevirmen: Çiğdem Şentuğ, Yayınevi: Kolektif Kitap.
Work Placement This course does not require an internship.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Course Introduction and Objectives
Week - 2 Introduction to Artificial Intelligence in Working Life
Week - 3 Current Artificial Intelligence Technologies and Their Effects on Working Life
Week - 4 Overview of Artificial Intelligence Applications in Business Functions
Week - 5 Artificial Intelligence in Human Resources: Recruitment and Talent Acquisition
Week - 6 Artificial Intelligence in Human Resources: Orientation and Employee Development
Week - 7 Artificial Intelligence in Human Resources: Performance Management and Employee Engagement
Week - 8 Artificial Intelligence in Human Resources: HR Analytics and Decision Support
Week - 9 Artificial Intelligence Ethics and Responsible AI
Week - 10 Data Privacy and Legal Regulations in Artificial Intelligence Applications
Week - 11 Artificial Intelligence Integration and Change Management in Businesses
Week - 12 Artificial Intelligence and the Future of Work
Week - 13 General evaluation and student presentations
Week - 14 General evaluation and student presentations

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

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