COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Optimization Techniques - II * ISB   222 4 3 3 5

Prerequisites and co-requisites Yok
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Prof. Dr. Selahattin KAÇIRANLAR
Instructors
Prof. Dr.SELAHATTİN KAÇIRANLAR1. Öğretim Grup:A
Prof. Dr.SELAHATTİN KAÇIRANLAR2. Öğretim Grup:A
 
Assistants
Goals
to solve unconstrained and constrained optimization problems, to learn search methods
Content
Unrestricted problems, equality restricted optimization problems, inequality restricted optimization problems, nonlinear programming, single and multi variable unrestricted optimization methods, restricted optimization methods, geometric programming, target programming.

Learning Outcomes
-


Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
X
6
Utilize computer systems and softwares
X
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
X
8
Apply the statistical analyze methods
X
9
Make statistical inference(estimation, hypothesis tests etc.)
X
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
X
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
X
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Unconstrained Optimization Source reading
2 Unrestricted Multivariable Optimization Source reading
3 Unrestricted Multivariable Optimization Source reading
4 Multidimensional Equality Constrained Optimization Problems Source reading
5 Multidimensional Equality Constrained Optimization Problems Source reading
6 Inequality Constrained Optimization Problems Source reading
7 Kuhn-Tucker conditions Source reading
8 Midterm exam Review the topics discussed in the lecture notes and sources
9 Univariate Search Techniques Source reading
10 Full Search, Search Two Points of Symmetric Source reading
11 Fibonacci Searchı Source reading
12 Search Two Points of Symmetric Source reading
13 Golden Ratio Search Source reading
14 Split into three Search Source reading
15 Problem Solving Source reading
16-17 Final exam Review the topics discussed in the lecture notes and sources

Recommended or Required Reading
Textbook
Additional Resources