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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)
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  4. Cloud Computing
  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
VBA414 - Cloud Computing VIII. SEMESTER 2 +0 4.0
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 Cloud Infrastructure: Basic service models (IaaS, PaaS, SaaS)
Week - 2 Hardware virtualization mechanics
Week - 3 Configuring scalable virtual cloud networking
Week - 4 Secure virtual cloud networking protocols
Week - 5 Provider Platforms: AWS, Azure, GCP overview
Week - 6 Utilizing major industry cloud service environments
Week - 7 Securely managing programmatic resource provisioning
Week - 8 Monitoring cloud consumption
Week - 9 Optimizing cloud billing costs
Week - 10 Cloud Architecture: High geographic availability
Week - 11 Designing for strict fault tolerance
Week - 12 Implementing responsive auto-scaling
Week - 13 Intelligent load balancing configurations
Week - 14 Deploying serverless computing architectures

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

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