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Course Information
Course Unit Title : Advanced Optimization
Course Unit Code :
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants :
Learning Outcomes of The Course Unit : How different optimization techniques are worked will be studied.
Method analysis and their applications wiil be studied on the problems.
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Globalization techniques, semidefinite and conic optimization, derivative free optimization, semi-infinite optimization methods, Newton Krylov methods, nonlinear parameter estimation, multi-objective optimization, nonsmooth optimization.
Languages of Instruction : Turkish-English
Course Goals : Teaching the advanced optimization techniques
Course Aims : Teaching the advanced optimization techniques
WorkPlacement  
Recommended or Required Reading
Textbook : Lecture notes will be given to the students each week.
Additional Resources : Jongen H.T., Jonker P. and Twilt F., Nonlinear Optimization in Finite Dimensions, Kluwer, 2000.

Rubinov A.M., Abstract convexity and Global Optimization, Kluwer, 2000.

Ben Tal A., Nemirovski A., Lectures on Modern Convex Optimization: Analysis, Algorithms and Engineering Applications, SIAM, 2001.
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
14 3 42  
Presentation :
1 19 19  
Project :
1 19 19  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 15 15  
Finals :
1 15 15  
Workload Hour (30) :
30  
Total Work Charge / Hour :
0  
Course's ECTS Credit :
0      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 30
Quiz :
0 0
Homework :
14 30
Attendance :
0 0
Application :
1 20
Lab :
0 0
Project :
1 20
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
55
The ratio of final to success :
45
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Globalization techniques:line search methods
 
2 Globalization tachniques: trust region methods
 
3 Globally convergent Newton methods
 
4 Semi definite optimization
 
5 Conic optimization
 
6 Derivative free optimization
 
7 Derivative free optimization
 
8 Semi infinite optimization
 
9 Semi infinite optimization
 
10 Semi infinite optimization
 
11 Newton Krylov methods
 
12 Nonlinear parameter estimations
 
13 Multi objective optimization
 
14 Nonsmooth optimization
 
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