COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Econometric Models * ISB   471 7 3 3 4

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. Mahmude Revan ÖZKALE
Instructors
Prof.Dr.MAHMUDE REVAN ÖZKALE1. Öğretim Grup:A
Prof.Dr.MAHMUDE REVAN ÖZKALE2. Öğretim Grup:A
 
Assistants
Goals
Use of mathematical techniques that are required for matrix operations and use matrix operations to solve problems that may arise in various fields such as statistics
Content
Matrix operations, find the determinant and rank of a matrix, partitioned matrices, find the generalized inverse, solution to linear systems, linear, bilinear and quadratic forms and their derivatives, positive definiteness, positice semidefiniteness and nonnegative definiteness of a matrix

Learning Outcomes
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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
5
Use proper methods and techniques to gather and/or to arrange the data
X
6
Utilize computer systems and softwares
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.)
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
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
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 Speical matrices and matrix operations Source reading
2 Linear independence and rank of matrix Source reading
3 Determinants and determinant properties Source reading
4 Finding the inverse of a matrix Source reading
5 Partitioned matrices Source reading
6 Elementary transformations, echelon form, equivalent matrices Source reading
7 Moore Penrose inverse and properties Source reading
8 Midterm exam Review the topics discussed in the lecture notes and sources
9 Generalized inverse Source reading
10 Systems of linear equations Source reading
11 Systems of linear equations Source reading
12 Least squares solution to systems of linear equations Source reading
13 Linear, bilinear and quadratic forms Source reading
14 Derivatives of linear and quadratic forms Source reading
15 Kronecker multiplication Source reading
16-17 Final exam Review the topics discussed in the lecture notes and sources

Recommended or Required Reading
Textbook
Additional Resources