GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
OPTIMIZATION/5091309
Course Title: OPTIMIZATION
Credits 3 ECTS 7.5
Course Semester 1 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
To recognize and formulate optimization problems in engineering applications
Analyze and interpret the solution of the optimization problem
To select software packages and appropriate algorithms for solving optimization problems
To learn how to use the tools to solve problems
Using software packages such as Matlab
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 -- MODE OF DELIVERY
   Face to face
 --WEEKLY SCHEDULE
1. Week  . Introduction to optimization and historical development
2. Week  Engineering applications of optimization
3. Week  Classical optimization techniques
4. Week  Univariate optimization
5. Week  Equality constrained univariate optimization
6. Week  One-dimensional minimization
7. Week  (Midterm I) Elimination methods
8. Week   Interpolation methods
9. Week  Unconstrained optimization
10. Week  Direct search methods
11. Week  Indirect search methods
12. Week  Linear Programming
13. Week  Extra topics and applications in linear programming
14. Week  ( Midterm II) Solution of optimization problems with Matlab
15. Week  -
16. Week  -
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
2
50
 Assignment
1
10
 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
14
4
56
 Searching in Internet and Library
14
4
56
 Material Design and Implementation
0
0
0
 Report Preparing
0
0
0
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
14
1
14
 Final Exam and Preperation for Final Exam
14
2
28
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
196
 TOTAL WORKLOAD / 25: 
7.84
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Acquires knowledge in depth and breadth via scientific research in his field; evaluate, interpret and apply this knowledge.X
2Is thoroughly informed about current techniques and methods of engineering, and their limitations.X
3Complements and applies uncertain, limited or incomplete knowledge using scientific methods; can combine knowledge from different disciplines.X
4Is aware of the new and developing applications of his profession; can study and learn about these applications when necessary.X
5Can define and formulate problems relevant to engineering field, develop solutions to solve these problems and employ innovative methods for these solutions.X
6Develop new and/or original ideas and methods; design complex system or processes and develop innovative/alternative solutions in design.X
7Designs and implements theoretical, experimental and model-based research; examines and resolves complex problems that arise during this process.X
8Can effectively function within intra- and interdisciplinary teams, can lead such teams and develop solution approaches under complex situations; can work independently and take responsibility.X
9Communicates verbally or in written form in a foreign language, at least at level B2 of the European Language Portfolio.X
10Communicate the progress and results of his studies systematically and clearly in written or oral form, in national or international forums relevant or other areas.X
11Knows engineering practices with social, environmental, health, safety-related, legal dimensions and project management and business life practices and is aware of the constraints imposed by their engineering practices.X
12Upholds social, scientific and ethical values in acquisition, interpretation and communication of data and in all activities related to his profession.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Muzaffer BALBAŞI)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/mbalbasi)
 -- EMAIL(S) OF LECTURER(S)
   (mbalbasi@gazi.edu.tr)