MAT 201 • Midterm • Lineer Cebir
TOBB ETÜ biz geldik! Math 201 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. Bu dersimizde sunduğumuz içerikler sırasıyla: 1) Systems of Linear Equations 2) Row Reduction- Gaussian Elimination 3) Matrix Operations 4) Inverse of a Matrix 5) Solving systems with Inverse 6) Determinants 7) Properties of Determinants 8) Adjoint of a Matrix 9) Cramer's Rule 10) Vector Spaces
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.
Unicourse Garantisi
Bu dersi alma kararını senin için kolaylaştıralım. Eğer memnun kalmazsan 30 gün içinde bize ulaş, 3'ten fazla içerik tamamlamadıysan iade alabilirsin. Koşullar
Konular
Linear Equations - Gaussian Elimination
4 konu anlatımı · 9 soru
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
Operations with Matrices
1 konu anlatımı · 9 soru
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
2 konu anlatımı · 4 soru
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)
2 konu anlatımı · 5 soru
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
Elementary Matrices
1 konu anlatımı
Elementary Matrix
LU Decomposition
3 konu anlatımı · 3 soru
LU Decomposition I
LU Decomposition II
LU Decomposition III
LU Decomposition (Alternatif)
LU Decomposition (Alternatif)
LU Decomposition (Alternatif)
Exam Practice
18 soru
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
4 konu anlatımı · 11 soru
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
5 konu anlatımı
Adjoint of a Matrix I
Adjoint Matrix II
Adjoint Matrix III
Adjoint Matrix IV
Adjoint Matrix V
Cramer's Rules
2 konu anlatımı · 2 soru
Cramer's Rule I
Cramer's Rule II
Exam like Question 1
Exam like Question 2
Exam Practice
15 soru
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
Adjoint Matrix 1
Theory Problem 1
Theory Problem 2
Theory Problem 3-4
Vector Spaces and Subspaces
3 konu anlatımı · 12 soru
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
Vectors: Linear Combination and Span
7 konu anlatımı · 3 soru
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
Linear Independence
3 konu anlatımı · 4 soru
Linear Independent Sets
Linear Independence of Matrices
Special Theorem for Matrix Equation
Exam-like Questions 1
Exam-like Questions 2
Exam-like Question 3
Exam-like Question 4
Exam Practice
9 soru
Span of Vectors
Span of Vectors
Span of Vectors
Span of Vectors
Span of Vectors
Linear Independence
Linear Independence
Linear Independence
Linear Independence
Değerlendirmeler
1 öğrenci değerlendirmesi
Değerlendirme yapmak için bu derse sahip olman gerekiyor.
Özgür Ozan Binzet
Makine Mühendisliği