MATH 2112 - Mathematics for Computer Science

An overview of linear algebra and probability topics for computer science. Systems of linear equations, vector and matrix operations, eigenvalues and eigenvectors, orthogonality, introduction to probability of events, discrete and continuous random variables and their distributions, and hypothesis testing. This course emphasizes the understanding of concepts through computational implementation of algorithms. May not be taken for credit if credit has been received for both MATH 2164 and STAT 2122.

Credit Hours: (3)
Restriction(s): Majors or Minors in the College of Computing and Informatics.
Prerequisite(s): MATH 1241 with grade of C or above, and ITSC 1212

Schedule of Classes