Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • TR
About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Dept. of Labour Economics and Industrial Relations
  3. Master of Arts (MA) Degree
  4. Course Structure Diagram with Credits
  5. Artificial Intelligence Applications in Working Life
  6. 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
ÇEK522 - Artificial Intelligence Applications in Working Life II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ AYÇA GÜZEL ÖZBEK
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 Ayhün, S. E. (2013). Kuşaklar arasindaki farkliliklar ve örgütsel yansimalari. Ekonomi ve Yönetim Araştırmaları Dergisi, 2(1), 93-112.
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Technology and Culture
Week - 2 Introduction to Data Science: Basic data types and structures
Week - 3 Artificial intelligence: Natural and artificial intelligence
Week - 4 Artificial intelligence: Definitions and history
Week - 5 Problem Solving and Decision Making
Week - 6 Artificial intelligence and Ethics
Week - 7 Popular Artificial Intelligence Applications: ChatGPT, Dall-E, Murf
Week - 8 Artificial Intelligence’s Fields of use in Working Life
Week - 9 Artificial Intelligence in HR
Week - 10 Artificial Intelligence in Academia
Week - 11 Artificial Intelligence in E-Commerce
Week - 12 Artificial Intelligence in Banking
Week - 13 Artificial Intelligence in Management
Week - 14 Artificial Intelligence in Advertising

No content has been provided.

No content has been provided.

No content has been provided.


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

Info on the Institution

  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance

Info on Degree Programmes

  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education

Info for Students

  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students
  • Insurance
  • Financial Support for Students
  • Student Affairs Office

Info for Students

  • Learning Facilities
  • International Programmes
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Clubs