GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INTRODUCTION T0 OPTIMIZATION/KM 493
Course Title: INTRODUCTION T0 OPTIMIZATION
Credits 3 ECTS 3
Semester 7 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Dr. Muzaffer Balbaşı
 -- WEB SITE(S) OF LECTURER(S)
  
 -- EMAIL(S) OF LECTURER(S)
  mbalbasi@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Understand the different classification of optimization problems, and where they arise in simple applications.
Understand the concept of an objective function and express an optimization problems mathematically
Write down the primal and dual linear programming problem.
Use the simplex method to find an optimal vector for the standard linear programming problem and the corresponding dual problem.
Apply basic line search methods to one-dimensional optimization problems
Apply gradient methods to optimization problems
Apply conjugate gradient methods to optimization problems


 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introduction to Optimization
2. Week  Applications of Optimization in Engineering
3. Week  Functions of Several Variables
4. Week  thods Requiring Derivatives
5. Week  Direct-Search Methods, Random Walking
6. Week  Gradient-Based Methods
7. Week  Midterm Exam I.
8. Week  Linear Programming and formulation of Linear Programming Models
9. Week  Graphical Solution of Linear Programs in Two Variables
10. Week  Principles of the Simplex Method, Minimization Problems
11. Week  Two-Phase Simplex Method
12. Week  Computer Solution of Linear Programs
13. Week  Midterm Exam II.
14. Week  Dual Simplex Method
15. Week  Final Exam.
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  T.F. Edger, D.M. Himmelblau and L.S. Laston, Optimization of chemical processes, Second Ed., 2001, Optimization: Theory and Applications, Rao, S:S., Second Ed. 1977 Bundey B.D., Basic Optimization Methods, Edward Arnold Publ.,1985.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  None.
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
2
20
 Assignment
1
20
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
7
1
7
 Searching in Internet and Library
7
1
7
 Designing and Applying Materials
0
 Preparing Reports
2
2
4
 Preparing Presentation
2
2
4
 Presentation
2
1
2
 Mid-Term and Studying for Mid-Term
2
3
6
 Final and Studying for Final
3
1
3
 Other
0
 TOTAL WORKLOAD: 
75
 TOTAL WORKLOAD / 25: 
3
 ECTS: 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.X
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)X
4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.X
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.X
6Ability to work efficiently in intra-disciplinary teams.X
7Ability to work efficiently in multi-disciplinary teams; ability to work individually.X
8Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language.X
9Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.X
10Awareness of professional and ethical responsibility.X
11Information about business life practices such as project management, risk management, and change management.X
12Information about awareness of entrepreneurship, innovation, and sustainable development.X
13Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety.X
14Knowledge about awareness of the legal consequences of engineering solutions.X