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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 307OPTIMIZATION3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Obtaining the best result under optimization conditions. This course aim is to teach fundamental concepts and methods
Course Content Introduction to Optimization, Classical Optimization Methods, Nonlinear Programming: Single Variable, Unconstrained Multivariate Optimization Methods, Constrained Multivariate Optimization Methods.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1.Knows to get the best result under the given conditions
2Knows the classical optimization methods.
3Klasik optimizasyon yöntemlerini bilir.
4Non-linear functions, min / max points, finds.
5Under the constraint functions are non-linear min / max points, finds.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
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LO 002544455555555
LO 003555555555555
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LO 005555544455555
Sub Total252323232424242525252525
Contribution555555555555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2016-2017 Fall1ATALAY ÇAĞLAR
Details 2014-2015 Fall1ATALAY ÇAĞLAR
Details 2012-2013 Fall1ATALAY ÇAĞLAR
Details 2011-2012 Fall2ATALAY ÇAĞLAR


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 307 OPTIMIZATION 3 + 0 1 Turkish 2016-2017 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. ATALAY ÇAĞLAR acaglar@pau.edu.tr İİBF C0104 %
Goals Obtaining the best result under optimization conditions. This course aim is to teach fundamental concepts and methods
Content Introduction to Optimization, Classical Optimization Methods, Nonlinear Programming: Single Variable, Unconstrained Multivariate Optimization Methods, Constrained Multivariate Optimization Methods.
Topics
WeeksTopics
1 Introduction to Optimization
2 Classical Optimization Methods: Single Variable, Unconstrained Multivariate Optimization Methods
3 Multivariate Optimization Methods with Equality Costraints : Direct Replacement Methods, Lagrange Multipliers Methods
4 Multivariate Optimization Methods with Inequality Costraints: Lagrange Multipliers Methods, Kuhn-Tucker Conditions
5 Nonlinear Programming (Single Variable Optimization) : Unrestricted Search, Exhaustive Search
6 Dichotomous Search, Golden Section Methods, Fibonacci Methods, etc.
7 Nonlinear Programming (Unconstrained Multivariate Optimization) : Direct Search Methods, Univariate Method,
8 Midterm
9 Hook-Jeeves Method
10 Powel Method, Rosenbrock Methods
11 Gradient Methods: Steepest Ascent Methods, Steepest Descent Methods
12 Newton Method (Single Variable and Multivariable) , Fletcher-Reeves Method
13 Nonlinear Programming (Constrained Multivariate Optimization), Direct Methods, Zoutendijk Method
14 Indirect Methods: Penalty Function Methods
Materials
Materials are not specified.
Resources
ResourcesResources Language
Optimizasyon Teknikleri, Hasan Bal, Gazi Üniversitesi, Ankara, 1995.Türkçe
Doğrusal Olmayan Programlama, Gülsüm Oral, Akademi Matbaası, Ankara, 1989.Türkçe
Engineering Optimization: Theory and Practice, Singiresu S. Rao, Wiley Interscience, 1996English
Applied Optimization with MATLAB Programming, P. Venkataraman, Wiley Interscience, NewYork, 2002.English
Optimizasyon, Ayşen Apaydın, A.Ü., Ankara, 2005.Türkçe
Optimizasyon Teknikleri, Hasan Bal, Gazi Üniversitesi, Ankara, 1995.Türkçe
Doğrusal Olmayan Programlama, Gülsüm Oral, Akademi Matbaası, Ankara, 1989.Türkçe
Engineering Optimization: Theory and Practice, Singiresu S. Rao, Wiley Interscience, 1996English
Applied Optimization with MATLAB Programming, P. Venkataraman, Wiley Interscience, NewYork, 2002.English
Optimizasyon, Ayşen Apaydın, A.Ü., Ankara, 2005.Türkçe
Optimizasyon Teknikleri, Hasan Bal, Gazi Üniversitesi, Ankara, 1995.Türkçe
Doğrusal Olmayan Programlama, Gülsüm Oral, Akademi Matbaası, Ankara, 1989.Türkçe
Engineering Optimization: Theory and Practice, Singiresu S. Rao, Wiley Interscience, 1996English
Applied Optimization with MATLAB Programming, P. Venkataraman, Wiley Interscience, NewYork, 2002.English
Optimizasyon, Ayşen Apaydın, A.Ü., Ankara, 2005.Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes