Linear Algebra
#1 Multiplication of Matrices, Inverse and Gauss-Jordan Elimination.
#2 LU decomposition, Cholesky Decomposition and Permutation Matrix.
#3 Vector Space.
#4 Linear Independence, Bases and Dimensions.
#5 Types of Solution in Linear System and Complete Solutions.
#6 Inner Product Space and Norm.
#7 Four Fundamental Subspaces.
#8 Determinants.
#9 Projection Matrix and Least Square Method.
#10 Orthogonal Matrix and Gram-Schmidt Process.
#11 Eigenvalue and Eigenvector.
#12 Diagonalization.
#13 Real Symmetric Matrices and Spectral Theorem.
#14 Positive Definite Matrix and Quadratic Form.

Some Topics of Probability Theory and Statistics
#1 Random Variables and Probability Distributions.
#2 Expectations and Moment Generating Function.
#3 Variance-Covariance Matrix.
#4 Principal Axis Theorem and Principal Component Analysis.
#5 Techniques of Matrix Algebra for Chi-Square and T Distributions.
#6 Matrix Algebra and Linear Regression.