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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. Finance in the Age of Artificial Intelligence
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 29/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA409 - Finance in the Age of Artificial Intelligence VII. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Area Elective Courses
Course Instructor(s) ARAŞ. GÖR. DR. ÖNDER DORAK
Mode of Delivery Face-to-face
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Algorithmic Trading: Quantitative trading models
Week - 2 Low-latency infrastructure of high-frequency trading
Week - 3 Historical backtesting of financial strategies
Week - 4 Risk Management: Calculating value at risk (VaR)
Week - 5 Extreme financial stress testing scenarios
Week - 6 Machine learning for retail credit scoring
Week - 7 Institutional default prediction models
Week - 8 FinTech Innovations: Decentralized blockchain applications
Week - 9 Programming and verifying smart contracts
Week - 10 Automated financial advisory and robo-investors
Week - 11 Fraud Detection: Sophisticated anomaly detection
Week - 12 Monitoring massive volumes of transactions
Week - 13 Mitigating global money laundering efforts
Week - 14 Securing next-generation digital payment gateways

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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