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 | ||