2019-2020 Academic Catalog 
    
    Apr 10, 2020  
2019-2020 Academic Catalog

MATH 450 - Matrix Applications


Credits: Three (3)
Matrix and Data frames are essential components of Data analysis and Machine Learning. This course provides a nice head start to students with concepts of matrix computations. Topics covered: Matrix multiplication, Matrix Analysis such as Vector Norms, Matrix Norms, Subspace Matrices and Finite Precision Matrix Computation. Other topics includes Triangular systems, Guassian Elimination, Pivoting, Topics in Special Linear Systems, and Functions. Every chapter is supported by intuitive practice problems. The pseudo codes are available in Matlab.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-316