TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMZ203 |
| Name | Linear Algebra |
| Term | 2019-2020 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi FELA ÖZBEY |
| Course Instructor |
Dr. Öğr. Üyesi FELA ÖZBEY
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
This module aims to provide an accessible review of the linear algebra from the text book to long after the class. Linear algebra is an essential part of the mathematical background required of econometricians. It presents a source for undergraduate students. In general it covers an introduction to linear algebra which will be found helpful to all readers.
Course Content
Matrices, matrix algebra, special types of matrices, elementary row and colomn operations, echelon form, rank of a matrix, elementary matrices, inverses, equivalent matrices, determinants, properties of determinants, cofactor and adjoint of a matrix, derivation of inverse matrix, systems of linear equations, solutions of linear equations systems, Cramers method, Gausss elimination method, vector spaces, subspaces, linear independence, bases and dimension, inner product spaces, eigen values, eigen vectors.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Recognizes the matrix algebra and the basic properties. |
| LO02 | Applies the properties of determinants |
| LO03 | Recognizes the systems of linear equations. |
| LO04 | Recognizes the real vector spaces, subspaces, basis, dimension and linear independence. |
| LO05 | Defines Matrix the linear transformations and representations of linear transformations. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Explains Econometric concepts | 2 |
| PLO02 | - | Acquires basic Mathematics, Statistics and Operation Research concepts | 5 |
| PLO03 | - | Equipped with the foundations of Economics, and develops Economic models | 1 |
| PLO04 | - | Describes the necessary concepts of Business | 0 |
| PLO05 | - | Models problems with Mathematics, Statistics, and Econometrics | 3 |
| PLO06 | - | Estimates the model consistently and analyzes & interprets its results | 1 |
| PLO07 | - | Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems | 1 |
| PLO08 | - | Collects, edits, and analyzes data | 1 |
| PLO09 | - | Uses a package program of Econometrics, Statistics, and Operation Research | 0 |
| PLO10 | - | Effectively works, take responsibility, and the leadership individually or as a member of a team | 1 |
| PLO11 | - | Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study | 3 |
| PLO12 | - | Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied | 1 |
| PLO13 | - | Uses Turkish and at least one other foreign language, academically and in the business context | 5 |
| PLO14 | - | Good understanding, interpretation, efficient written and oral expression of the people involved | 1 |
| PLO15 | - | Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development | 1 |
| PLO16 | - | Questions traditional approaches and their implementation while developing alternative study programs when required | 1 |
| PLO17 | - | Recognizes and implements social, scientific, and professional ethic values | 2 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 0 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Systems of Linear Equations, Solving a System of Linear Equations | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 2 | Definition of a Matrix, Elementary Row Operations, Using Elementary Row Operations to Solve a System | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 3 | Row-Echelon Form of a Matrix Homogeneous and Nonhomogeneous Systems of Linear Equations | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 4 | Equality of Matrices, Matrix Addition, Scalar Multiplication and Matrix Subtraction | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 5 | Matrix Multiplication, representing a system of linear equations in the form of Matrix Multiplication, Partitioned Matrices | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 6 | Properties of Matrix Operations, The Transpose of a Matrix | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 7 | The Inverse of a Matrix and Properties of Inverses, Solving a System of Equations Using an Inverse Matrix | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 8 | Mid-Term Exam | ||
| 9 | Elementary Matrices, Elementary Row Operations and Writing a Matrix as the Product of Elementary Matrices | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 10 | The Determinant of a Matrix, Definitions of Minors and Cofactors of a Matrix, The Effects of Elementary Row Operations on a Determinant, Properties of Determinants | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 11 | Eigenvalues and Eigenvectors, Finding Eigenvalues and Eigenvectors | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 12 | The Adjoint of a Matrix, The Inverse of a Matrix Given by Its Adjoint | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 13 | Cramer s Rule, Using Cramer s Rule | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 14 | Vector Spaces, Subspaces of Vector Spaces | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 15 | Linear Dependence and Linear Independence | Students will be prepared by studying relevant subjects from source books according to the weekly program | |
| 16 | Term Exams | ||
| 17 | Term Exams |
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 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||