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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. Optimization Methods for Data Science
  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
VBA406 - Optimization Methods for Data Science VIII. SEMESTER 3 +0 5.0
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 Mathematical Programming: Formulating linear programming
Week - 2 Integer programming applications
Week - 3 Defining mathematical constraints and objective functions
Week - 4 Heuristic Optimization: Designing genetic algorithms
Week - 5 Implementing simulated annealing
Week - 6 Programming particle swarm optimization
Week - 7 Multi-criteria decision making (MCDM): Objective weighting
Week - 8 Leveraging open public datasets
Week - 9 Constructing and solving decision matrices
Week - 10 Applied Optimization: Solving logistics problems
Week - 11 Solving complex routing problems
Week - 12 Portfolio optimization in finance
Week - 13 Resource allocation in institutional planning
Week - 14 Final optimization projects review

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

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