The common and important terms used in advanced linear algebra are Linear Transformations (transforms a function from one vector space to another), Inverse of a Matrix (an inverse of a matrix is multiplied with the original matrix), Eigenvector (a non-zero vector that changes by a scalar factor), Linear Map (mapping that preserves vector multiplication and vector addition).