MAT 1041 • Final • Linear Algebra
“Fazlasıyla yeterli ve mükemmel anlatım”
Tunahan Demirtaş
Bilgisayar Mühendisliği
BAU biz geldik! Mat 1041 dersi düşündüğün kadar zor değil; Dersimizdeki özet konu anlatımları ve kitabınızdaki bölüm sonu soru çözümleriyle konuyu öğrenecek, sonrasında son 10 yılın çıkmış sınav sorularıyla antreman yapacaksın.
Tamamen senin okuluna özel hazırlanmış bu içerik akışıyla Lineer Cebir dersininden istediğin notu alacaksın.Bu dersimizde sunduğumuz içerikler sırasıyla: 1) Vector Operations 2) Linear Combination of Vectors 3) Linear Independence of Vectors 4) Vector Space and Subspaces 5) Basis for Vector Subspaces 6) Span of Vectors 7) Null & Column & Row Spaces 8) Rank of a Matrix 9) The Unique Representation Theorem
Eğitmen
Dorukhan Özcan
Co-Founder & CEO
Unicourse şirketinin kurucu ortağıyım. 2016 senesinde Galatasaray Lisesinden mezun oldum. Geçtiğimiz dört sene içerisinde 2000 saatten fazla ders anlattım. Anlattığım dersler sırasıyla; Calculus, Çok değişkenli Calculus, Lineer Cebir, Differansiyel Denklemler, Uygulamalı İstatistik ve Stokastik Modelleme dersleridir. Doping Hafıza şirketinde 2017 - 2022 seneleri arasında CEO danışmanlığı yaptım. Koç Üniversitesi Endüstri Mühendisliği ve Ekonomi çift anadal programını tam burslu olarak, 3.96/4.00 not ortalamasıyla bitirdim. Kadıköy Modalıyım.
Paketi Tamamla
🎓 Bahçeşehir Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
MAT 1041 • Midterm
Linear Algebra
Dorukhan Özcan
1599 TL
MAT 1041 • Final
Linear Algebra
Dorukhan Özcan
1599 TL
Konular
Vectors: Linear Combination
Vector Properties
Linear Combination 1
Linear Combination 2
Formal Definition of Linear Combination
Span of Vectors I
Span of Vectors II
Span of Vectors III
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Vectors: Linear Independence
Linear Independent Sets
Linear Independence of Matrices
Exam-like Questions 1
Exam-like Questions 2
Vectors Spaces and Subspaces
Vector Spaces and Subspaces
Polynomial Subspaces
Matrix Spaces & Matrix Subspaces
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Exam-like Question 4
Exam-like Question 5
Exam-like Question 6
Basis for Column, Null and Row Spaces
Null Space & Column Space & Row Space
Bases for Col A & Row A & Null A
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Basis for General Subspaces
Basis for Vector Subspaces
Basis for Matrix Subspaces
Basis for Polynomial Subspaces
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Exam-like Question 4
Exam-like Question 5
The Unique Representation Theorem
Equivalent Conditions
Exam-like Questions 1
Exam like Question 2
The Unique Representation Theorem I
The Unique Representation Theorem II
Exam-like Question 3
Exam like Question 4
Exam like Question 5
Linear Transformations
Linear Transformations
One-to-one and Onto Transformations
Matrix of a Linear Transformation
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Proving Linearity of Transformations
Linearity of Transformations
Kernel and Range of Transformations
Kernel and Range of a Transformation I
Kernel and Range of a Transformation II
Kernel and Range of a Transformation III
Kernel and Range of a Transformation IV
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Exam like Question 5
Eigenvalues and Eigenvectors
Eigenvalues & Eigenvectors: 3 Vital Steps
Eigenvalues & Eigenvectors: A Special Tip
A Matrix with Irrational Eigenvalues
Algebraic and Geometric Multiplicities 1
Algebraic and Geometric Multiplicities-2
Eigenspace of Matrices
Diagonalization
Diagonalization 1
Diagonalization 2
Exam like Question 1
Exam like Question 2
Orthogonality and Projections
Key concepts for orthogonality
Orthogonal Projection 1
Orthogonal Projection 2
Exam-like Question 1
Exam-like Question 2
The Gram-Schmidt Process
The Gram-Schmidt Process
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
(NEW) Sınav Provası: Fall 2024 Final Exam
Column, Null and Row Space
Column, Null and Row Space
Rank of a Matrix
Rank of a Matrix
Spanning Set
Spanning Set
Basis for Subspaces
Linear Transformation
Linear Transformation
Linear Transformation
Linear Transformation
Linear Transformation
Eigenvalues and Eigenvectors
Eigenvalues and Eigenvectors
Theory Problem
Past Exam Problems (Midterm II Subjects)
Span of Vectors I
Span of Vectors II
Subspaces or not 1
Subspaces or not 2
Subspaces or not 3
Subspaces or not 4
Subspaces or not 5
Subspace or not 6
Subspaces or not 7
Subspaces or not 8
Subspaces or not 9
Basis for Subspaces 1
Basis for Subspaces 2
Basis for Subspaces 3
Basis for Subspaces 4
Basis for Subspaces 5
Polynomial Basis 1
Polynomial Basis 2
Polynomials Basis 3
Polynomials Basis 4
Linear Independece of Matrices
Null & Column & Row Spaces 1
Null & Column & Row Spaces 2
Null & Column & Row Spaces 3
Null & Column & Row Spaces 4
Null & Column & Row Spaces 5
Linear Transformations I
Linear Transformations II
Linear Transformation III
Linear Transformation IV
Linear Transformations V
Past Exams Problems (Final Subjects)
Eigenvalues and Eigenvectors
Diagonalization I
Diagonalization II
Eigenspaces & Diagonalization I
Eigenspaces & Diagonalization II
Değerlendirmeler
Ders İçeriği
Vectors: Linear Combination
Vector Properties
Linear Combination 1
Linear Combination 2
Formal Definition of Linear Combination
Span of Vectors I
Span of Vectors II
Span of Vectors III
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Vectors: Linear Independence
Linear Independent Sets
Linear Independence of Matrices
Exam-like Questions 1
Exam-like Questions 2
Vectors Spaces and Subspaces
Vector Spaces and Subspaces
Polynomial Subspaces
Matrix Spaces & Matrix Subspaces
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Exam-like Question 4
Exam-like Question 5
Exam-like Question 6
Basis for Column, Null and Row Spaces
Null Space & Column Space & Row Space
Bases for Col A & Row A & Null A
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Basis for General Subspaces
Basis for Vector Subspaces
Basis for Matrix Subspaces
Basis for Polynomial Subspaces
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Exam-like Question 4
Exam-like Question 5
The Unique Representation Theorem
Equivalent Conditions
Exam-like Questions 1
Exam like Question 2
The Unique Representation Theorem I
The Unique Representation Theorem II
Exam-like Question 3
Exam like Question 4
Exam like Question 5
Linear Transformations
Linear Transformations
One-to-one and Onto Transformations
Matrix of a Linear Transformation
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Proving Linearity of Transformations
Linearity of Transformations
Kernel and Range of Transformations
Kernel and Range of a Transformation I
Kernel and Range of a Transformation II
Kernel and Range of a Transformation III
Kernel and Range of a Transformation IV
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Exam like Question 5
Eigenvalues and Eigenvectors
Eigenvalues & Eigenvectors: 3 Vital Steps
Eigenvalues & Eigenvectors: A Special Tip
A Matrix with Irrational Eigenvalues
Algebraic and Geometric Multiplicities 1
Algebraic and Geometric Multiplicities-2
Eigenspace of Matrices
Diagonalization
Diagonalization 1
Diagonalization 2
Exam like Question 1
Exam like Question 2
Orthogonality and Projections
Key concepts for orthogonality
Orthogonal Projection 1
Orthogonal Projection 2
Exam-like Question 1
Exam-like Question 2
The Gram-Schmidt Process
The Gram-Schmidt Process
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
(NEW) Sınav Provası: Fall 2024 Final Exam
Column, Null and Row Space
Column, Null and Row Space
Rank of a Matrix
Rank of a Matrix
Spanning Set
Spanning Set
Basis for Subspaces
Linear Transformation
Linear Transformation
Linear Transformation
Linear Transformation
Linear Transformation
Eigenvalues and Eigenvectors
Eigenvalues and Eigenvectors
Theory Problem
Past Exam Problems (Midterm II Subjects)
Span of Vectors I
Span of Vectors II
Subspaces or not 1
Subspaces or not 2
Subspaces or not 3
Subspaces or not 4
Subspaces or not 5
Subspace or not 6
Subspaces or not 7
Subspaces or not 8
Subspaces or not 9
Basis for Subspaces 1
Basis for Subspaces 2
Basis for Subspaces 3
Basis for Subspaces 4
Basis for Subspaces 5
Polynomial Basis 1
Polynomial Basis 2
Polynomials Basis 3
Polynomials Basis 4
Linear Independece of Matrices
Null & Column & Row Spaces 1
Null & Column & Row Spaces 2
Null & Column & Row Spaces 3
Null & Column & Row Spaces 4
Null & Column & Row Spaces 5
Linear Transformations I
Linear Transformations II
Linear Transformation III
Linear Transformation IV
Linear Transformations V
Past Exams Problems (Final Subjects)
Eigenvalues and Eigenvectors
Diagonalization I
Diagonalization II
Eigenspaces & Diagonalization I
Eigenspaces & Diagonalization II
Sıkça Sorulan Sorular
Örneğin, Koç Üniversitesi - MATH 101 (Calculus) veya başka bir okulun benzer dersi olsun, paketlerimiz tam da o derse göre tasarlanır. Böylece nokta atışı çalışır, zaman kazanırsın.
Sınava özel videolar —konu anlatımları, çıkmış sorular ve çözümleri, özet notlar—içerir. Sınavda sıkça çıkan soruları hedefler. Eğitmenlerimiz, üniversitenin akademik takvimini takip ederek paketleri sürekli günceller. Böylece, gereksiz detaylarla vakit kaybetmeden başarını artırmaya odaklanabilirsin.