Pamukkale University
University is the guide to life
Welcome to PAU;
Prospective Student
Our Students
Our Staff
TR
Information Package & Course Catalogue
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes
SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
INDUSTRIAL ENGINEERING DEPARTMENT
1261 Industrial Engineering
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
Print
COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
ENM 506
OPTIMIZATION TECHNICS II
3 + 0
2nd Semester
7,5
COURSE DESCRIPTION
Course Level
Master's Degree
Course Type
Elective
Course Objective
In this course, advance topics in linear and nonlinear programming will be discussed.
Course Content
Basic concepts in linear programming, duality, interior point algorithm, constraint and nonconstraint nonlinear programming, quadratic programming, Lagrange relaxation, optimization algorithms.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Understands fundamental theorems
2
Models and solves non-linear programming problems
3
Learns optimization algorithms
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
LO 001
5
5
2
2
2
1
1
1
1
5
LO 002
3
3
2
2
2
1
1
1
1
5
LO 003
2
2
1
1
1
1
1
1
1
5
Sub Total
10
10
5
5
5
3
3
3
3
15
Contribution
3
3
2
2
2
1
1
1
1
5
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Assignments
4
5
20
Mid-terms
1
60
60
Final examination
1
73
73
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
Select Year
All Years
2016-2017 Spring
2015-2016 Spring
2012-2013 Spring
2011-2012 Fall
2010-2011 Spring
2010-2011 Fall
2009-2010 Spring
Course Term
No
Instructors
Details
2016-2017 Spring
1
ÖZCAN MUTLU
Details
2012-2013 Spring
1
ÖZCAN MUTLU
Details
2009-2010 Spring
1
ÖZCAN MUTLU
Print
Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
ENM 506
OPTIMIZATION TECHNICS II
3 + 0
1
Turkish
2016-2017 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Assoc. Prof. Dr. ÖZCAN MUTLU
mutlu@pau.edu.tr
MUH A0457
%
Goals
In this course, advance topics in linear and nonlinear programming will be discussed.
Content
Basic concepts in linear programming, duality, interior point algorithm, constraint and nonconstraint nonlinear programming, quadratic programming, Lagrange relaxation, optimization algorithms.
Topics
Weeks
Topics
1
Goal programming
2
Goal programming
3
Goal programming
4
Data Envelopment Analysis
5
Data Envelopment Analysis
6
Data Envelopment Analysis
7
Game Theory
8
Game Theory
9
Mid Term
10
Non-linear programming
11
Non-linear programming
12
Dynamic programming
13
Dynamic programming
14
Presentations
Materials
Materials are not specified.
Resources
Resources
Resources Language
1. Operations Research Applications and Algorithms Wayne L. Winston, PWS-Kent Publishing Company
English
2. Yöneylem Araştırması, Hamdi Taha, Literatür Yayınları
Türkçe
3. Ders notları
Türkçe
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
{1}
##LOC[OK]##
{1}
##LOC[OK]##
##LOC[Cancel]##
{1}
##LOC[OK]##
##LOC[Cancel]##
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes