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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. Graduation Project II
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 22/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA402 - Graduation Project II VIII. SEMESTER 3 +0 6.0
Language of Instruction İngilizce
Course Type Required 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 Project Execution: Data preparation
Week - 2 Algorithm selection and testing
Week - 3 Code development and documentation
Week - 4 Model training and refinement
Week - 5 System testing and validation
Week - 6 Insight Generation: Result analysis
Week - 7 Business value conversion strategies
Week - 8 Strategic decision support modeling
Week - 9 Productization: Model deployment strategies
Week - 10 Interactive dashboard design
Week - 11 Code repository management
Week - 12 Final Delivery: Academic documentation formatting
Week - 13 Industry reporting standards
Week - 14 Oral defense preparation and Poster presentation

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

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