MATH 112 • Midterm • Lineer Cebir
İstinye biz geldik! Mat 112 dersi düşündüğün kadar zor değil; Dersimizdeki özet konu anlatımları ve kitabınızdaki bölüm sonu soru çözümleriyle konuyu öğrenecek, sonrasında son yılların çıkmış sınav sorularıyla antreman yapacaksın.
Tamamen senin okuluna özel hazırlanmış bu içerik akışıyla Lineer Cebir dersininden istediğin notu alacaksın.
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.
Geçme Garantisi
Derslerimize çok güveniyoruz. Dersi geçememen çok zor ama yine de geçemezsen paran iade.
Tüm koşullarPaketi Tamamla
🎓 İstinye Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
MATH 112 • Final
Lineer Cebir
Dorukhan Özcan
1299 TL
MATH 112 • Midterm
Lineer Cebir
Dorukhan Özcan
1299 TL
Konular
Systems of linear equations - Gaussian Elimination
Augmented Matrix - Row Reduction 1
Augmented Matrix - Row Reduction 2
Existence and Uniqueness of Solution
Free Variables (Free Parameter)
Practice Problem 1
Practice Problem 2
Practice Problem 3
Practice Problem 4
Practice Problem 5
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Linear Transformation
Linear Transformations 1
Linear Transformation 2
Exam like Question 1
Exam like Question 2
Matrix of a Linear Transformation
Exam like Question 3
Exam-like Question 4
Linearity of Transformations
Operations with Matrices
Fundamental Matrix Operations
Practice Problem 1
Practice Problem 2
Practice Problem 3
Practice Problem 4
Practice Problem 5
Practice Problem 6
Practice Problem 7
Practice Problem 8
Practice Problem 9
The Inverse of a Matrix
Inverse of a Matrix 1
Inverse of a Matrix 2
Practice Problem 1
Practice Problem 2
Practice Problem 3
Practice Problem 4
Matrix Equations (AX = B Formu)
Matrix Equation
Solving AX = B with Inverse
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Exam like Question 5
LU Decomposition
LU Decomposition I
LU Decomposition II
LU Decomposition III
LU Decomposition (Alternatif)
LU Decomposition (Alternatif)
LU Decomposition (Alternatif)
Exam Practice
Gaussian Elimination
Gaussian Elimination
Gaussian Elimination
Existence and Uniqueness 1
Existence and Uniqueness 2
Existence and Uniqueness 3
Existence and Uniqueness
Existence and Uniqueness 3
Matrix Operations
Matrix Operations
Inverse of a Matrix 1
Inverse of a Matrix 2
Inverse of a Matrix 3
Solving systems with Inverse 1
Solving Systems with Inverse 2
Solving systems with Inverse 3
Solving systems with Inverse 4
Elementary Matrices
Determinants
Determinant & Cofactor Expansion
Determinants of Bigger Matrices
Properties of Determinant I
Properties of Determinant II
Exam like Question 1
Exam-like Question 2
Exam like Question 3
Exam-like Question 4
Exam-like Question 5
Exam-like Question 5
Exam-like Question 5
Exam-like Question 6
Exam-like Question 7
Exam-like Question 8
Exam-like Question 9
Adjoint of a Matrix
Adjoint of a Matrix I
Adjoint Matrix II
Adjoint Matrix III
Adjoint Matrix IV
Adjoint Matrix V
Cramer's Rules
Cramer's Rule I
Cramer's Rule II
Exam like Question 1
Exam like Question 2
Applications of Determinant
Area of Triangle & Volume of Tetrahedron
Equation of a Line and Plane
Vectors: Linear Combination and Span
Vector Properties
Linear Combination 1
Linear Combination 2
Formal Definition of Linear Combination
Span of Vectors 1
Span of Vectors 2
Solutions of Homogeneous Linear Systems
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Vector Spaces and Subspaces
Vector Spaces and Subspaces
Matrix Spaces & Matrix Subspaces
Polynomial 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
Exam like Question 7
Exam like Question 8
Exam like Question 9
Exam like Question 10
Exam like Question 11
Exam like Question 12
Exam Practice
Determinant and Invertibility
Determinant and Invertibility
Existence, Determinant and Invertibility 1
Existence, Determinant and Invertibility 2
Properties of Determinants 1
Properties of Determinants 2
Properties of Determinants 3
Properties of Determinants
Cramer's Rule
Cramer's Rule
Cramer's Rule
Inverse Matrix using Cofactor Expansion
Theory Problem 1
Theory Problem 2
Theory Problem 3-4
Değerlendirmeler
Henüz hiç değerlendirme yok.
Ders İçeriği
Systems of linear equations - Gaussian Elimination
Augmented Matrix - Row Reduction 1
Augmented Matrix - Row Reduction 2
Existence and Uniqueness of Solution
Free Variables (Free Parameter)
Practice Problem 1
Practice Problem 2
Practice Problem 3
Practice Problem 4
Practice Problem 5
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Linear Transformation
Linear Transformations 1
Linear Transformation 2
Exam like Question 1
Exam like Question 2
Matrix of a Linear Transformation
Exam like Question 3
Exam-like Question 4
Linearity of Transformations
Operations with Matrices
Fundamental Matrix Operations
Practice Problem 1
Practice Problem 2
Practice Problem 3
Practice Problem 4
Practice Problem 5
Practice Problem 6
Practice Problem 7
Practice Problem 8
Practice Problem 9
The Inverse of a Matrix
Inverse of a Matrix 1
Inverse of a Matrix 2
Practice Problem 1
Practice Problem 2
Practice Problem 3
Practice Problem 4
Matrix Equations (AX = B Formu)
Matrix Equation
Solving AX = B with Inverse
Exam like Question 1
Exam like Question 2
Exam like Question 3
Exam like Question 4
Exam like Question 5
LU Decomposition
LU Decomposition I
LU Decomposition II
LU Decomposition III
LU Decomposition (Alternatif)
LU Decomposition (Alternatif)
LU Decomposition (Alternatif)
Exam Practice
Gaussian Elimination
Gaussian Elimination
Gaussian Elimination
Existence and Uniqueness 1
Existence and Uniqueness 2
Existence and Uniqueness 3
Existence and Uniqueness
Existence and Uniqueness 3
Matrix Operations
Matrix Operations
Inverse of a Matrix 1
Inverse of a Matrix 2
Inverse of a Matrix 3
Solving systems with Inverse 1
Solving Systems with Inverse 2
Solving systems with Inverse 3
Solving systems with Inverse 4
Elementary Matrices
Determinants
Determinant & Cofactor Expansion
Determinants of Bigger Matrices
Properties of Determinant I
Properties of Determinant II
Exam like Question 1
Exam-like Question 2
Exam like Question 3
Exam-like Question 4
Exam-like Question 5
Exam-like Question 5
Exam-like Question 5
Exam-like Question 6
Exam-like Question 7
Exam-like Question 8
Exam-like Question 9
Adjoint of a Matrix
Adjoint of a Matrix I
Adjoint Matrix II
Adjoint Matrix III
Adjoint Matrix IV
Adjoint Matrix V
Cramer's Rules
Cramer's Rule I
Cramer's Rule II
Exam like Question 1
Exam like Question 2
Applications of Determinant
Area of Triangle & Volume of Tetrahedron
Equation of a Line and Plane
Vectors: Linear Combination and Span
Vector Properties
Linear Combination 1
Linear Combination 2
Formal Definition of Linear Combination
Span of Vectors 1
Span of Vectors 2
Solutions of Homogeneous Linear Systems
Exam-like Question 1
Exam-like Question 2
Exam-like Question 3
Vector Spaces and Subspaces
Vector Spaces and Subspaces
Matrix Spaces & Matrix Subspaces
Polynomial 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
Exam like Question 7
Exam like Question 8
Exam like Question 9
Exam like Question 10
Exam like Question 11
Exam like Question 12
Exam Practice
Determinant and Invertibility
Determinant and Invertibility
Existence, Determinant and Invertibility 1
Existence, Determinant and Invertibility 2
Properties of Determinants 1
Properties of Determinants 2
Properties of Determinants 3
Properties of Determinants
Cramer's Rule
Cramer's Rule
Cramer's Rule
Inverse Matrix using Cofactor Expansion
Theory Problem 1
Theory Problem 2
Theory Problem 3-4
Geçme Garantisi
Derslerimize çok güveniyoruz. Dersi geçememen çok zor ama yine de geçemezsen paran iade.
Tüm koşullarSıkça 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.