Translated by Google
Linear algebra, vector spaces, eigenvalues and eigenvectors, and linear applications.
From 26 € /h
List of lessons
1. Vector Spaces & Subspaces
Key concepts: Understanding the definition of vector space and the ten conditions (Vector Space Axioms) to prove that a set with addition and multiplication operations in its standard form a vector space.
Linear Independence & Dependence: Testing whether vectors are linearly independent or dependent on each other.
Span, Basis & Dimension:
Determine the generative span of the space.
Finding the basis and dimension of different spaces (such as vector spaces \mathbb{R}^n, matrices M_{m \times n}, and polynomials P_n).
Subspaces: Subspace conditions, finding the null space, column space, and row space of matrices.
2. Linear Transformations and Applications
Definition and properties: Proving the linearity of applications and determining the Standard Matrix Representation.
Kernel and Range:
Calculate the kernel (Kernel/Null Space) and image (Image/Range) for conversion.
Applying the Rank-Nullity Theorem and calculating rank and nihilism.
Change of Basis: Transition Matrices and how to represent the same linear transformation under different bases and families.
3. Eigenvalues & Eigenvectors
Characteristic Equation: Finding the eigenvalues of \lambda by solving the equation \det(A - \lambda I) = 0.
Eigenvectors and Eigenspaces: Finding the eigenspace associated with each eigenvalue by solving the homogeneous system (A - \lambda I)\vec{v} = \mathbf{0}.
Diagonalization:
Diagonalizability Condition Test.
Formulating the decomposition of diagonal A = PDP^{-1} to facilitate the calculation of matrix powers A^k and the solving of systems of differential equations.
Orthogonal Diagonalization: For symmetric matrices and the application of Spectral Theorem.
1. Vector Spaces & Subspaces
Key concepts: Understanding the definition of vector space and the ten conditions (Vector Space Axioms) to prove that a set with addition and multiplication operations in its standard form a vector space.
Linear Independence & Dependence: Testing whether vectors are linearly independent or dependent on each other.
Span, Basis & Dimension:
Determine the generative span of the space.
Finding the basis and dimension of different spaces (such as vector spaces \mathbb{R}^n, matrices M_{m \times n}, and polynomials P_n).
Subspaces: Subspace conditions, finding the null space, column space, and row space of matrices.
2. Linear Transformations and Applications
Definition and properties: Proving the linearity of applications and determining the Standard Matrix Representation.
Kernel and Range:
Calculate the kernel (Kernel/Null Space) and image (Image/Range) for conversion.
Applying the Rank-Nullity Theorem and calculating rank and nihilism.
Change of Basis: Transition Matrices and how to represent the same linear transformation under different bases and families.
3. Eigenvalues & Eigenvectors
Characteristic Equation: Finding the eigenvalues of \lambda by solving the equation \det(A - \lambda I) = 0.
Eigenvectors and Eigenspaces: Finding the eigenspace associated with each eigenvalue by solving the homogeneous system (A - \lambda I)\vec{v} = \mathbf{0}.
Diagonalization:
Diagonalizability Condition Test.
Formulating the decomposition of diagonal A = PDP^{-1} to facilitate the calculation of matrix powers A^k and the solving of systems of differential equations.
Orthogonal Diagonalization: For symmetric matrices and the application of Spectral Theorem.
Location
Online from Egypt
About Me
I am a university teaching assistant and economic researcher specializing in government research centers. I provide simplified explanations of econometrics, statistics, finance, and economics, emphasizing in-depth understanding and practical application. I help students grasp concepts, complete assignments, and prepare for exams. I also offer training in using EViews, Stata, SPSS, and Excel, as well as data analysis, interpreting statistical results, and writing academic papers. I ensure that sessions are interactive and tailored to each student's needs, with ongoing support until optimal results are achieved.
Education
I am a university lecturer specializing in econometrics, statistics, economics, finance, and business administration. I provide professional educational sessions for students of public universities, private universities, and foreign universities, as well as graduate students and researchers.
Experience / Qualifications
Bachelor of Statistics from the Faculty of Economics and Political Science, Cairo University
Experience in teaching at more than one private Egyptian university, as well as in the research field at governmental and private research centers.
Experience in teaching at more than one private Egyptian university, as well as in the research field at governmental and private research centers.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Arabic
Skills
Availability of a typical week
(GMT -04:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I explain and simplify macroeconomics and microeconomics (micro/macro) materials for undergraduate and graduate students in Arab and foreign universities.
I will help you understand and overcome the difficulties of university economics subjects in a smooth and direct manner that ensures your academic achievement and excellence.
The service includes:
Explanation of topics in microeconomics and macroeconomics.
Solving and analyzing mathematical applications, problems, and exam exercises.
Clarifying and simplifying economic curves and data.
The curriculum is explained in either Arabic or English, depending on the university requirements.
Service features:
Interactive sessions with students via Zoom.
Summaries and worksheets to review key concepts before tests.
Support, interaction, and a space to answer any questions during the study period.
I will help you understand and overcome the difficulties of university economics subjects in a smooth and direct manner that ensures your academic achievement and excellence.
The service includes:
Explanation of topics in microeconomics and macroeconomics.
Solving and analyzing mathematical applications, problems, and exam exercises.
Clarifying and simplifying economic curves and data.
The curriculum is explained in either Arabic or English, depending on the university requirements.
Service features:
Interactive sessions with students via Zoom.
Summaries and worksheets to review key concepts before tests.
Support, interaction, and a space to answer any questions during the study period.
Our services include:
Descriptive and Inferential Statistics.
Probabilities, statistical distributions, and hypothesis testing (t-test, ANOVA, Chi-Square).
Training in statistical analysis using popular software such as SPSS, Excel, or R.
Review and test preparation:
Intensive reviews before midterm and end-of-term exams.
Solve past exam papers and focus on the most frequently asked questions.
Providing concise summaries and rules for each chapter.
Descriptive and Inferential Statistics.
Probabilities, statistical distributions, and hypothesis testing (t-test, ANOVA, Chi-Square).
Training in statistical analysis using popular software such as SPSS, Excel, or R.
Review and test preparation:
Intensive reviews before midterm and end-of-term exams.
Solve past exam papers and focus on the most frequently asked questions.
Providing concise summaries and rules for each chapter.
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