ECMZ203 Linear Algebra

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

Information

Code ECMZ203
Name Linear Algebra
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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi FELA ÖZBEY


Course Goal

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, 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, Gauss elimination method, vector spaces, subspaces, linear independence, bases and dimension, eigen values, eigen vectors.

Course Precondition

None

Resources

Bernard Kolman, David Hill (2008), Elementary Linear Algebra with Applications, Pearson, ISBN: 0-13-229654-3

Notes

Ron Larson, David C. Falvo, (2009), Elementary Linear Algebra, Sixth Edition, ISBN: 978-0-618-78376-2


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Recognizes special types of matrices.
LO02 performs elementary row (colomn) operations.
LO03 Obtains the echelon form of a matrix.
LO04 Finds the rank of a matrix.
LO05 Evaluates the inverse of a square matrix.
LO06 Evaluates the determinant of a square matrix.
LO07 Lists the properties of a determinant.
LO08 Evaluates the minor matrix.
LO09 Recognizes equivalent matrices.
LO10 Solves linear equations systems.
LO11 Applies the method of Cramer.
LO12 Applies the method of Gauss.
LO13 Recognizes vector spaces.
LO14 Recognizes subvector spaces.
LO15 Determines whether vectors are linearly independent or not.
LO16 Calculates the eigenvalues of a square matrix.
LO17 Calculates the eigenvectors of a square matrix.
LO18 Performs matrix operations.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research 4
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 5
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models 2
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 Beceriler - Bilişsel, Uygulamalı Has the ability to analyze/interpret at the conceptual level to develop solutions to problems
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data 2
PLO08 Bilgi - Kuramsal, Olgusal Interprets the results analyzed with the model 2
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field which does not research
PLO10 Beceriler - Bilişsel, Uygulamalı It develops traditional approaches, practices and methods into new working methods when it deems necessary 2
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO12 Yetkinlikler - Öğrenme Yetkinliği In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities
PLO13 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context 4
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 2


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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Solving a System of Equations Using the Inverse Matrix. Students will be prepared by studying relevant subjects from source books according to the weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
11 Eigenvalues and Eigenvectors, Finding Eigenvalues and Eigenvectors Students will be prepared by studying relevant subjects from source books according to the weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
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 Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
13 Cramer s Rule, Using Cramer s Rule Students will be prepared by studying relevant subjects from source books according to the weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
14 Vector Spaces, Subspaces of Vector Spaces Students will be prepared by studying relevant subjects from source books according to the weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
15 Linear Dependence and Linear Independence Students will be prepared by studying relevant subjects from source books according to the weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


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