EKMZ203 Linear Algebra

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMZ203
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 Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ERSİN KIRAL
Course Instructor Prof. Dr. ERSİN KIRAL (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 mathematicians, engineers, physicists and other scientists. 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

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 student gains the ability of solving basic mathematical problems
LO02 student gains the ability of analitical thinking
LO03 students can obtain, edit and analyze data
LO04 use an econometric software package
LO05 solve equation systems using matrix algebra


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explains Econometric concepts 0
PLO02 - Acquires basic Mathematics, Statistics and Operation Research concepts 5
PLO03 - Equipped with the foundations of Economics, and develops Economic models 2
PLO04 - Describes the necessary concepts of Business 0
PLO05 - Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 - Estimates the model consistently and analyzes & interprets its results 0
PLO07 - Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 4
PLO08 - Collects, edits, and analyzes data 0
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 5
PLO11 - Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 5
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 4
PLO13 - Uses Turkish and at least one other foreign language, academically and in the business context 0
PLO14 - Good understanding, interpretation, efficient written and oral expression of the people involved 0
PLO15 - Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 3
PLO16 - Questions traditional approaches and their implementation while developing alternative study programs when required 2
PLO17 - Recognizes and implements social, scientific, and professional ethic values 4
PLO18 - Follows actuality, and interprets the data about economic and social events 0


Week Plan

Week Topic Preparation Methods
1 Systems of Linear Equations and Matrices (I) Students will be prepared by studying relevant subjects from source books according to the weekly program
2 Systems of Linear Equations and Matrices (II) Students will be prepared by studying relevant subjects from source books according to the weekly program
3 Elementary Matrices permutations 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 Linear depence, indepence Students will be prepared by studying relevant subjects from source books according to the weekly program
8 Mid-Term Exam Öğrenciler haftalık programdan ilgili konuları inceleyerek hazırlanırlar.
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 Application of 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 Term Exams Students will be prepared by studying relevant subjects from source books according to the weekly program
17 Term Exams Students will be prepared by studying relevant subjects from source books according to the weekly program


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 12:15