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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. Graduate School
  2. Department of Business Administration
  3. Master of Business Administration (MBA)
  4. Master of Science (MSc) in Quantitative Methods
  5. Course Structure Diagram with Credits
  6. Nonlinear Programming
  7. Description
  • Description
  • Learning Outcomes
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
SAY506 - Nonlinear Programming II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ BİLAL SARAÇ
Mode of Delivery The mode of delivery of this course is Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Linear programming
Recommended Resources
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Non-Linear Programming; Examples of Non-Linear programming
Week - 2 Classifiying of Non-Linear programming problems, Convex and Concav Functions
Week - 3 Unrestricted Optimization, Locally Optimal Necessary and Sufficient Conditions
Week - 4 Approximate Solving Techniques on Unrestricted Optimization
Week - 5 Restricted Optimization; Equal case of constraints Lagrange Multipliers method
Week - 6 Restricted Optimization; less or equal case of constraints, Kuhn-Tucker conditions
Week - 7 Quadratic programming Problem
Week - 8 Examples of Quadratic programming problem and its solutions
Week - 9 Convex Programming and its solving method
Week - 10 Examples of Convex Programming problem and its solutions
Week - 11 Examples of Convex Programming problem and its solutions
Week - 12 Seperable Programming
Week - 13 Approximate solving method of Restricted Optimization problems
Week - 14 Non-linear programming software

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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