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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 Computer and Information Sciences
  2. Department of Data Science and Analytics (English)
  3. Course Structure Diagram with Credits
  4. AI Ethics, and Governance
  5. Description
  • Description
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  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 21/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA308 - AI Ethics, and Governance VI. SEMESTER 2 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ARAŞ. GÖR. DR. ÖNDER DORAK
Mode of Delivery
Place of Delivery
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Prerequisites
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Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Ethical frameworks: Utilitarianism in technology
Week - 2 Algorithmic fairness
Week - 3 Identifying cognitive and data bias
Week - 4 Mitigating bias in datasets
Week - 5 Data privacy and law: Strict GDPR compliance
Week - 6 Data anonymization techniques
Week - 7 Informed consent mechanisms and right to be forgotten
Week - 8 Mitigating bias in datasets
Week - 9 Conducting institutional audits
Week - 10 Aligning AI with quality standards
Week - 11 AI Risk management frameworks
Week - 12 Societal impact: The future of work
Week - 13 Digital divide and autonomous systems dilemmas
Week - 14 Establishing corporate AI policies

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Assessment Method and Passing Requirements
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