Examining the concepts of data structures and algorithms that can be applied to computer programs. The discussion begins with understanding algorithms and simple algorithms such
This course examines sampling distributions, methods for estimating parameters (Moment method, maximum likelihood function, Bayesian estimator) and hypothesis testing theory.
Studying the basic concepts of mathematical modeling, implementing modeling from everyday life phenomena (physics, biology, chemistry, economics, social) into mathematical models in the fields of
Studying the basic concepts of mathematical modeling, implementing modeling from everyday life phenomena (physics, biology, chemistry, economics, social) into mathematical models in the fields of
This course examines the fundamental concepts of PDP theory including: first order linear PDP, second order linear PDP, wave equation, and heat equation. Able to
This course examines the fundamental concepts of PDP theory including: first order linear PDP, second order linear PDP, wave equation, and heat equation. Able to