IEM713 Matrix Theory

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (MASTER) (WITH THESIS)
Code IEM713
Name Matrix Theory
Term 2018-2019 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ERSİN KIRAL
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

To provide the students with the necessary information in linear models and multivariate analysis

Course Content

Basic terms and concepts in the matrix theory, column space, null space, subspace, and Echelon form, type of mxn matrices g-inverse, solution of systems of equations, matrix derivative and properties of positive definit and nnd matrices.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understand the fundamental rules and concepts of matrix
LO02 Define the concepts of linear independence, eigenvalues and eigenvectors
LO03 Comprehend matrix trace and its properties
LO04 Have the knowedge about matix derivative, and properties of positive definit and n.n.d. matrices
LO05 Solve the systems of equations and examine the terms of consistency


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 3
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences 1
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 4
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 1
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO17 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study
PLO18 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
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 5


Week Plan

Week Topic Preparation Methods
1 Notations and definitions ( determinant, rank, trace, qadratic forms, orthogonal martices) Students will be prepared by studying relevant subjects from source books according to the weekly program
2 Similar matrices, Symmetric matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
3 Eigenvectors and eigenvalues Students will be prepared by studying relevant subjects from source books according to the weekly program
4 Vector space, vector subspace, basis of a vector space, column and null space of a marrix Students will be prepared by studying relevant subjects from source books according to the weekly program
5 Basic theorems of generalized inverse Students will be prepared by studying relevant subjects from source books according to the weekly program
6 Computing formulas for the g-inverse Students will be prepared by studying relevant subjects from source books according to the weekly program
7 Conditional inverse, Hermite form of matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
8 Mid-Term Exam Students will be prepared by studying relevant subjects from source books according to the weekly program
9 solutions to systems of linear equations Students will be prepared by studying relevant subjects from source books according to the weekly program
10 Approximate solutions to inconsitent systems of linear equations, Least squares Students will be prepared by studying relevant subjects from source books according to the weekly program
11 Pattern matrices Students will be prepared by studying relevant subjects from source books according to the weekly program
12 Trace of matrik and its properties Students will be prepared by studying relevant subjects from source books according to the weekly program
13 Matrix derivatives Students will be prepared by studying relevant subjects from source books according to the weekly program
14 nnd matrices and its properties Students will be prepared by studying relevant subjects from source books according to the weekly program
15 pd and nnd matrices and its properties 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


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: 29.04.2025 11:38