Akademik Dersler - Tanıtım


Code - Course Title	ENM523 - Introduction to Mathematical Optimization
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ NERGİZ KASIMBEYLİ
Mode of Delivery	The mode of delivery of this course is face-to-face.
Prerequisites	Calculus, Linear Algebra, OR
Courses Recomended
Required or Recommended Resources	Matematiksel Optimizasyon, Prof. Dr. Abbas Azimli, Papatya Yayıncılık, 2011
Recommended Reading List
Assessment methods and criteria	Two midterm and one final exam . Two midterm and the final exams are classic .
Work Placement	Applied course for one hour per week.
Sustainability Development Goals

Weeks	Topics
Week - 1	Methods in One Variable Optimization; Multivariable Optimization;
Week - 2	Methods in One Variable Optimization; Multivariable Optimization; Gradient Method;
Week - 3	Multivariable Optimization; Gradient Method;
Week - 4	Gradient Method; Affine Sets;
Week - 5	Convex Sets; Separation Theorem;
Week - 6	Polyhedral Sets; Corner Points;
Week - 7	Cones; Convex Functions;
Week - 8	Directional Derivatives; Subdifferential;
Week - 9	Nonlinear Programing; Convex Programming Problem;
Week - 10	Duality Theory in Convex Programming; Simplex Method;
Week - 11	Penalty Function Method.

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	40
Final Exam	1	60
Toplam (%)		100