ISB471 Econometric Models

4 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB471
Name Econometric Models
Term 2019-2020 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MAHMUDE REVAN ÖZKALE ATICIOĞLU
Course Instructor Prof. Dr. MAHMUDE REVAN ÖZKALE ATICIOĞLU (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

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

Course 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

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Do matrix operations
LO02 Understand the properties of the determinant
LO03 Find the inverse of a matrix
LO04 Do operations with partitioned matrices
LO05 Find the generalized inverse of matrices
LO06 Solve linear systems
LO07 Find the least squares solution of linear systems
LO08 Define linear, bilinear and quadratic forms
LO09 Define positive definite, positive semidefinite and nonnegative definite matrices
LO10 Derive the linear and quadratic forms


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 4
PLO02 - Emphasize the importance of Statistics in life 3
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 0
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 1
PLO06 - Utilize computer systems and softwares 0
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 2
PLO08 - Apply the statistical analyze methods 2
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 0
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 1
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 0
PLO12 - Construct a model and analyze it by using statistical packages 0
PLO13 - Distinguish the difference between the statistical methods 2
PLO14 - Be aware of the interaction between the disciplines related to statistics 3
PLO15 - Make oral and visual presentation for the results of statistical methods 1
PLO16 - Have capability on effective and productive work in a group and individually 1
PLO17 - 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 0
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 1


Week Plan

Week Topic Preparation Methods
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 Mid-Term 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 Term Exams Review the topics discussed in the lecture notes and sources
17 Term Exams Review the topics discussed in the lecture notes and sources


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 29.04.2025 02:18