Lesson 1: How to install MatLab and how to use it online.

Lesson 2: Commands and basics. Enter commands and variables. Name, save, and load variables. Use Built-in Functions and Constants. How to use documentation.

Lesson 3: Vectors and matrices. Reduced row echelon form (rref) and linear system resolution (A\B, linsolve, solve).

Lesson 4: Some exercises on linear systems. How to use "null" function and how to use it to solve undetermined linear systems.

Lesson 5: Determinant and inverse of a matrix. Matrix multiplication and powers.

Lesson 6: Exercise on Markov chains.

Lesson 7: Linear Programming.

Lesson 8: for loop with examples. dot function and dot product with for loop.

Lesson 9:  If/elseif/else construct with exercise about invertibility of square matrices. 

Lesson 10: Least squares. Eigenvalues and eigenvectors.

Lesson 11: Principal components Analysis.

Lesson 1: How to install MatLab and how to use it online.

Lesson 2: Commands and basics. Enter commands and variables. Name, save, and load variables. Use Built-in Functions and Constants. How to use documentation.

Lesson 3: Vectors and matrices. Reduced row echelon form (rref) and linear system resolution (A\B, linsolve, solve).

Lesson 4: Some exercises on linear systems. How to use "null" function and how to use it to solve undetermined linear systems.

Lesson 5: Determinant and inverse of a matrix. Matrix multiplication and powers.

Lesson 6: Exercise on Markov chains.

Lesson 7: Linear Programming.

Lesson 8: for loop with examples. dot function and dot product with for loop.

Lesson 9:  If/elseif/else construct with exercise about invertibility of square matrices. 

Lesson 10: Least squares. Eigenvalues and eigenvectors.

Lesson 11: Principal components Analysis.