ECMZ203 Linear Algebra

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR. (ENGLISH)
Code ECMZ203
Name Linear Algebra
Term 2017-2018 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

Students will be able to define matrices, matrix algebra, special types of matrices, elementary row and colon 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 systems of linear equations, Cramer´s method, Gauss’s elimination method, vector spaces, subspaces, linear independence, bases and dimension, coordinates, change of basis, inner product spaces, standard inner product, orthogonal subspaces, orthogonal complement of a subspace, inner product, inner product spaces, orthogonal basis, orthogonal matrices, Gram-Schmidt orthogonalization methods, linear transformations, matrix representations of linear transformations, eigen values, eigen vectors, diagonalization, Cayley-Hamilton’s Theorem, quadratic forms, Hermitian forms, numerical applications.

Course Precondition

Resources

Notes



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,calculates the eigenvectors of a square matrix.
LO06 Evaluates the determinant of a square matrix.
LO07 Lists the properties of a determinant,calculates the eigenvalue of a square matrix
LO08 Evaluates the minor matrix, determines whether vectors are linearly independent.
LO09 Recognizes equivalent matrices.
LO10 Solves linear equations systems,ecognizes subvector spaces.
LO11 Applies the method of Cramer, recognizes vector spaces.
LO12 Applies the Gauss method, 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 Analyzes/interprets at the conceptual level to develop solutions to problems
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data from reliable data sources for the purpose of study 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 of research
PLO10 Beceriler - Bilişsel, Uygulamalı Adapts traditional approaches, practices and methods to a new study when necessary 2
PLO11 Beceriler - Bilişsel, Uygulamalı Uses a package program of Econometrics, Statistics, and Operation Research
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO13 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
PLO14 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself
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 and Matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
2 Systems of Linear Equations and Matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
3 Elementary Matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
4 Determinant Function, Determinant, Cramer Method Students will be prepared by studying relevant subjects from source books according to the weekly program
5 Vector Spaces Students will be prepared by studying relevant subjects from source books according to the weekly program
6 Vector Spaces Students will be prepared by studying relevant subjects from source books according to the weekly program
7 Vector Spaces Students will be prepared by studying relevant subjects from source books according to the weekly program
8 Midterm Exam
9 Linear Transformations and Matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
10 Linear Transformations and Matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
11 Linear Transformations and Matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
12 Inner Product Space Students will be prepared by studying relevant subjects from source books according to the weekly program
13 Inner Product Space Students will be prepared by studying relevant subjects from source books according to the weekly program
14 Eigenvalues and Eigenvectors Students will be prepared by studying relevant subjects from source books according to the weekly program
15 Eigenvalues and Eigenvectors Students will be prepared by studying relevant subjects from source books according to the weekly program
16 Final Exam
17 Final Exam


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

Update Time: 01.05.2025 12:19