Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Lınear Algebra MAT 115 1 3 + 0 3 4
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili İngilizce
Dersin Seviyesi Lisans
Dersin Türü Zorunlu
Dersin Koordinatörü Dr.Öğr.Üyesi EMİNE ÇELİK
Dersi Verenler Dr.Öğr.Üyesi EMİNE ÇELİK,
Dersin Yardımcıları
Dersin Kategorisi Alanına Uygun Temel Öğretim
Dersin Amacı

Students learn the concepts and apply the methods related with; the solution of systems of linear equations, matrices and matrix operations, determinant, rank, eigenvalues and eigenvectors, conversions in two-dimensional space, vector spaces and the theory of linear operators.

Dersin İçeriği

Solution of linear equations systems (Cramer, inverse matrix, reducing the normal form), matrix and determinant operations, eigenvalues and eigenvectors of the matrix, linear transformations in linear spaces.

# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1
Hafta Ders Konuları Ön Hazırlık
1 Introduction to systems of linear equations.
2 Vector Equations. The Matrix equation Ax=b. Row reduction and echelon forms.
3 Gaussian Elimination and Gauss-Jordan Elimination.
4 Operations with Matrices. Properties of Matrix operations.
5 Theory of linear systems, homogeneous and nonhomogeneous systems, rank.
6 The inverse of a matrix. Characterization of invertible matrices.
7 The Determinant of a Matrix. Determinants and Elementary operations. Properties of determinants.
8 Applications of Determinants, Cramer's rule.
9 Vectors, linear independence, bases and transformations.
10 The Scalar Product, inner product spaces, orthonormal bases: Gram-Schmidt Process.
11 Eigenvalues and eigenvectors.
12 The Characteristic function. Cayley-Hamilton Theorem.
13 Diagonalization. Similar Matrices.
14
Kaynaklar
Ders Notu
Ders Kaynakları

[1] David C.Lay, Linear Algebra and Its Applications, Pearson, 2003.

[2] Ron Larson,  Elementary Linear Algebra, Cengage Learning, 2017.

Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions. X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations. X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently. X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods. X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research.
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies.
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility. X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language. X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology. X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society. X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications.
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 70
1. Kısa Sınav 10
2. Kısa Sınav 10
3. Kısa Sınav 10
Toplam 100
1. Yıl İçinin Başarıya 50
1. Final 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 8 8
Quiz 2 8 16
Assignment 1 8 8
Final examination 1 10 10
Toplam İş Yükü 106
Toplam İş Yükü / 25 (Saat) 4,24
Dersin AKTS Kredisi 4