This course covers matrices, systems of linear equations, vector spaces, linear independence, linear transformations, determinants, eigenvalues and eigenvectors, diagonalization, and inner product spaces
- Faculty: Paleta, Leonard
- Faculty: Yabes, Lawton John
This is an introductory course in probability covering axiomatic probability space, discrete and continuous random variables, special distributions, mathematical expectation, conditional probability and independence, multivariate distributions, Laws of Large Numbers, and the Central Limit Theorem.
- Faculty: Paleta, Leonard
- Faculty: Pimentel, Jonald
This is an introductory course in ordinary differential equations (ODEs). It focuses primarily on techniques for finding explicit solutions to linear ODEs. Topics include first order ordinary
differential equations , linear differential equations , linear equations with constant coefficients, nonhomogeneous equations, undetermined coefficients and variation of parameters, linear systems of equations; the existence and uniqueness of solutions.
- Faculty: Paleta, Leonard
- Faculty: Toledo, Arnel