Course: Introduction to Smart Systems Engineering credits: 5
- Course code
- SEVM19SSE
- Name
- Introduction to Smart Systems Engineering
- Study year
- 2026-2027
- 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 and visualize numerical data using typical Python packages, such as Numpy and MatPlotlib.
- calculate and apply discrete Fourier transform.
- apply sampling theorem of Shannon, the Nyquist frequency, the concepts of aliasing and windowing.
Content
The course covers the following topics:
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.
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)
- Engineering, Life Sciences & ICT