Information Package / Course Catalogue
| Course Code | : ÇEKO408 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
The main objective of the course is to examine, through an interdisciplinary approach, the economic, sociological, and ethical effects of disruptive technologies such as artificial intelligence, automation, and machine learning on working life, employment policies, labour law, and human resources processes. The course aims to enable students to develop the competence to evaluate the opportunities and threats created by technological transformation within an analytical framework.
Technological evolution from the industrial revolutions to Industry 4.0 and 5.0; algorithmic management; the platform economy and the gig economy; the macro-level effects of artificial intelligence on employment, including debates on job displacement and job creation; workplace surveillance, privacy, and data security; skills mismatch and reskilling/upskilling; artificial intelligence ethics; bias and discrimination; new regulations in labour law; and future models of work, such as universal basic income.
| 1. | Defines the basic concepts of artificial intelligence and automation technologies in the context of labour economics. |
| 2. | Analyzes the impact of artificial intelligence on labour demand across different sectors and occupational groups, including blue-collar, white-collar, and new-collar workers. |
| 3. | Critically examines the impact of algorithmic management mechanisms and the platform economy on workers’ rights, working conditions, and union organization. |
| 4. | Discusses the ethical and legal implications of autonomous systems used in recruitment, performance appraisal, and the termination of employment contracts. |
| 5. | Develops national and international regulatory policy proposals for the future of work, with reference to International Labour Organization (ILO) standards and related frameworks. |
| 1. | ILO (Uluslararası Çalışma Örgütü) Raporları: World Employment and Social Outlook: The role of digital labour platforms in transforming the world of work. |
| 2. | Acemoglu, D., & Restrepo, P. (2018). Artificial Intelligence, Automation and Work. National Bureau of Economic Research (NBER). |
| 3. | Russell, S. & Norvig, P. (2010). Artificial Intelligence: A Modern Approach. Pearson Pub. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 3 | 84 |
| Midterm Examination | 1 | 30 | 2 | 32 |
| Final Examination | 1 | 30 | 2 | 32 |
| TOTAL WORKLOAD (hours) | 148 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 4 | 4 | 4 | 5 | 4 | 4 | 3 | 4 | 4 | 4 | 3 | 4 |
OÇ-2 | 4 | 5 | 5 | 5 | 4 | 4 | 3 | 4 | 4 | 5 | 3 | 4 |
OÇ-3 | 4 | 5 | 4 | 5 | 4 | 4 | 3 | 4 | 4 | 4 | 3 | 4 |
OÇ-4 | 4 | 4 | 4 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
OÇ-5 | 5 | 4 | 5 | 4 | 5 | 4 | 3 | 4 | 4 | 5 | 3 | 4 |