Systems Science and Engineering

Description

This course introduces a range of techniques for analyzing continuous and discrete linear time invariant systems. It starts with a review to techniques of solving differential and difference equations using Fourier and the Z transforms. Subsequently, the course veers to applications involving digital filter design. Afterward, it provides an introduction to the Discrete Fourier Transform DFT, and Fast Fourier Transform FFT with various applications.

Program

M.Sc. In Computer Engineering

Objectives

• The course introduces students to the engineering and science of systems. Graduates are expected to have mathematical competence and knowledge of systems analysis, and design methods, probability analysis, dynamic systems, system reliability, estimation, modeling, identification, and simulation. Elaborate developments of nonlinear signal and information processing methods from a generic systems engineering perspective.