MAT112 Linear Algebra - II

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

Information

Code MAT112
Name Linear Algebra - II
Term 2023-2024 Academic Year
Semester 2. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi ELA AYDIN
Course Instructor Dr. Öğr. Üyesi ELA AYDIN (A Group) (Ins. in Charge)


Course Goal / Objective

To give insight and skill about the concrete aspects of the abstract linear algebra,

Course Content

The contents of this course A base of vector space and its dimension, inner products spaces , understand the relation between matrices and linear transformation, determine eigenvalue and eigenvector and find similar matrices.

Course Precondition

None.

Resources

Arif Sabuncuoğlu, Lineer Cebir, Nobel yayın dağıtım,2000.

Notes

Bernard Kolman, David R. Hill, Lineer Cebir, ((Translation) Palme Yayıncılık Press,2000.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Find a base and dimension of vector space.
LO02 Understands linear transformation and their properties.
LO03 Write a matrix form for a linear transformation.
LO04 Calculate the length and angle using inner product the orthogonal complement of a space.
LO05 Determine eigenvalue and related eigenvector.
LO06 Write similar matrices and diagonal matrices.
LO07 Do different applications of determinants.
LO08 Calculate the rank of a matrix.
LO09 Calculate with complex numbers in linear algebra and solve the systems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 4
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 3
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics 2
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems 1
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data 3
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer systems and softwares 1
PLO07 Bilgi - Kuramsal, Olgusal Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 1
PLO08 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 1
PLO09 Bilgi - Kuramsal, Olgusal Make statistical inference(estimation, hypothesis tests etc.) 1
PLO10 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques 1
PLO11 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programme 1
PLO12 Bilgi - Kuramsal, Olgusal Construct a model and analyze it by using statistical packages 3
PLO13 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods 1
PLO14 Beceriler - Bilişsel, Uygulamalı Be aware of the interaction between the disciplines related to statistics 2
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 4
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 3
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 3
PLO18 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Linear functions, one to one and onto functions Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
2 Kernel and images of linear functions Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
3 Matrices of linear transformations Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
4 equvalences of matrices Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
5 Sthandard inner product in space and plane Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
6 Inner products and orthogonality Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
7 Gramm-Schmidt orthogonalization Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Review of the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav
9 Eigenvalues and eigenvectors Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
10 Diagonalization and triangularization of matrices Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
11 Diagonalization of symetric matrices Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
12 Determinant function applications Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
13 Rank of matrices Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
14 Complex numbers in Linear algebra Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım
15 Solving problems, final exam Review of the relevant pages from sources Öğretim Yöntemleri:
Problem Çözme
16 Term Exams Review of the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review of the topics discussed in the lecture notes and sources 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 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 02.05.2023 08:46