Course: Introduction to Smart Systems Engineering credits: 5

Course code
SEVM19SSE
Name
Introduction to Smart Systems Engineering
Study year
2022-2023
ECTS credits
5
Language
English
Coordinator
S.S. Ahmed
Modes of delivery
  • Lecture
  • Project-based learning
Assessments
  • Introduction to SSE - Assignment

Learning outcomes

At the end of this module the student is able to:
  • manipulate matrices to solve a linear system of equations,
  • analyse a dynamical system using determinants to find eigenvalues and eigenvectors,
  • solve least squares problems,
  • apply singular value decomposition to problems in data analysis and signal Processing,
  •  manipulate numerical data using Python with the linear algebra package  Numpy and the plotting package MatPlotlib,
  • calculate and apply discrete Fourier transform,
  • apply sampling theorem of Shannon, Nyquist frequency and the concept of aliasing,
  • apply windowing.

Content

The aim of this course is to introduce or refresh your knowledge on digital signal processing, basic software development and linear algebra. This should prepare you for the technical courses taught throughout the rest of the master.
 

Included in programme(s)

School(s)

  • Institute of Engineering
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