Algèbre 2(Vector Spaces, Linear Maps, Matrices)
جميع الفيديوهات مشروحة باللغة العربية بأسلوب مبسّط وواضح لفهم التطبيقات الخطية بسهولة.
Vector Spaces, Linear Maps, Matrices, Change of Bases, and Linear Systems
Chapter 01 : Vector space
Lesson 01 – How to check if a set is a subspace
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Lesson 02 – Subspace or not: common mistakes to avoid
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Lesson 03 – Subspaces of polynomial spaces, simplified method
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Lesson 04 – Matrix subspaces explained quickly
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Lesson 05 – Three methods to check linear independence
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Lesson 06 – Linear independence with parameters
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Lesson 07 – Linear independence of polynomials
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Lesson 08 – Intersection of vector spaces, full method
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Lesson 09 – Sum of vector subspaces
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Lesson 10 – Supplementary subspaces explained simply
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Chapter 02 : Linear Maps
1. Linear Maps Basics
Lesson 01 – Key concepts for linear maps (part 1)
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Lesson 02 – Essential mathematical sets and structures
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2. Kernel, Image and Rank
Lesson 01 – Checking if a map is linear
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Lesson 02 – Kernel of a linear map: finding and understanding ker(f)
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Lesson 03 – Rank-nullity theorem: dim(V) = rank(f) + nullity(f)
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Lesson 04 – Image of a linear map, first method
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Lesson 05 – Image of a linear map, second method
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3. Exercises
Exercise 01 – ENSIA 2026
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Exercise 02 – ENSIA 2026
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Exercise 03 – University of Nice Sophia Antipolis
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Exercise 04 – University of Blida 01
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4. Tests and Exams
Test 01 – USTHB 2025
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Test 02 – Computer Science, USTHB 2025
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Test 03 – USTHB 2025
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Test 04 – Mathematics track
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Exam 01 – (09 pts) USTHB 2025
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Exam 02 – Computer Science, USTHB 2023
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Exam 03 – Resit exam, USTHB 2025
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Exam 04 – General exam, USTHB
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Exam 05 – Boumerdès
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Chapter 03 : Matrices (Les matrices)
1. Matrix Basics
Lesson 01 – Sum and difference of matrices, entry-wise
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Lesson 02 – Multiplying a matrix by a scalar
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Lesson 03 – Matrix multiplication: product and properties
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Lesson 04 – Matrix transpose
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Lesson 05 – Trace of a matrix: sum of diagonal elements
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2. Advanced Matrix Tools
Lesson 01 – Row reduction to echelon form
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Lesson 02 – Matrix power
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Lesson 03 – Matrix power, second example
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Lesson 04 – Matrix power, correction test USTHB 2026
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3. Determinants
Lesson 01 – Determinant of a 2×2 matrix
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Lesson 02 – Determinant of a 3×3 matrix
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Lesson 03 – Determinant of a 3×3 matrix, exercise
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Lesson 04 – Sarrus method, 3×3 determinant
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4. Matrix Inverse
Lesson 01 – Cofactor method for the inverse of a matrix
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Lesson 02 – Gaussian elimination method for the inverse of a matrix
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Lesson 03 – Annihilating polynomial method for the inverse of a matrix
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5. Matrix Exercises and Tests
Exercise 01 – Matrix operations, ENSIA
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Exercise 02 – Matrix operations, USTHB
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Exercise 03 – Matrix operations, USTHB
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Test 01 – USTHB, full correction
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6. Change of basis
Lesson 01 – Change of basis: matrix representation, correction test USTHB 2026
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Lesson 02 – Passage matrix, correction test USTHB 2026
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Chapter 04 : Linear Systems
1. Linear Systems Methods
Lesson 01 – Solving by Gaussian elimination (method 1)
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Lesson 02 – Solving using Cramer's rule (method 2)
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Lesson 03 – Solving using the inverse matrix method (method 3)
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2. Linear Systems with Parameters
Lesson 01 – Linear systems with real parameters
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3. Exams and Full Corrections
Exam 01 – Linear systems with parameters, full correction
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Exam 02 – Matrices and linear systems with parameters, full correction
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