GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
OPTIMIZATION TECHNIQUES/İMM-393
Course Title: OPTIMIZATION TECHNIQUES
Credits 3 ECTS 3
Course Semester 5 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Learn the basic linear optimization methods.
Learn the nonlinear optimization methods.
Understand and Learn the formulation of optimization problems.
Understand and Learn the solution of optimization problems.
Applies the optimization methods to engineering problems.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Basic concepts, introduction to optimization and modelling.
2. Week  The process of optimization.
3. Week  Classical Optimization Theory, Equality and Inequality Constraints.
4. Week  Classical Optimization Theory, Golden Section method.
5. Week  Classical Optimization Theory, Fibonacci method.
6. Week  Classical Optimization Theory, Bisecting method
7. Week  Unconstrained Multivariable Optimization, Flexible Polyhedron (Simplex)
8. Week  Midterm exam. Unconstrained Multivariable Optimization, Cyclic Coordinate scanning method.
9. Week  Unconstrained Multivariable Optimization, Method of Hooke-Jeeves.
10. Week  Unconstrained Multivariable Optimization, Newton method.
11. Week  Constrained Optimization, Lineer Programming (LP).
12. Week  Constrained Optimization, Graphical Solution.
13. Week  Constrained Optimization, Simplex Method.
14. Week  Constrained optimization; NonLineer Programming (NLP).
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
4
30
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
4
1
4
 Searching in Internet and Library
4
1
4
 Material Design and Implementation
0
 Report Preparing
2
3
6
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
5
5
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
71
 TOTAL WORKLOAD / 25: 
2.84
 Course Credit (ECTS): 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Uses textbooks, application tools and other resources with up-to-date information in engineeringX
2Designs a machine, part or process to provide expected performance, manufacturing characteristics and economyX
3Design engineering systems, conduct experiments, analyze and comment on the resultsX
4Takes responsibility individually and as a team member to solve unpredictable complex problems encountered in engineering applicationsX
5Plans and manages activities for employee development in project workX
6Use databases and other sources of information in accessing information related to the field and conducting literature researchX
7Becomes aware of lifelong learning, follows developments in science and technology and constantly self-renewalX
8Identifies, presents, formulates and solves manufacturing engineering problems using current computer software and engineering methodsX
9Follows the information in the field in a foreign languageX
10Knows the issues of quality, environment, occupational health and safety in project management and engineering applicationsX
 -- NAME OF LECTURER(S)
   (Prof. Dr. Muammer NALBANT , Assoc. Prof. Dr. Hakan DİLİPAK)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/nalbant , https://websitem.gazi.edu.tr/site/hdilipak)
 -- EMAIL(S) OF LECTURER(S)
   (nalbant@gazi.edu.tr , hdilipak@gazi.edu.tr )