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Signals and Systems ELE300

This course presents fundamental theory for linear systems, both time-continuous and time-discrete, and is an essential tool for understanding physical systems, as well as treatment of all kinds of signals.

Course description for study year 2021-2022

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Learning outcome


  • Understand the connection between continuous time and discrete time signals and the role of digital signal processing in the processing of continuous time signals.
  • Engage in qualified reasoning on technical problems involving fundamental concepts in signals and systems, particularly the relationship between inputs and outputs of linear time invariant systems.


  • Perform input/output calculations for linear time invariant systems both in the time and in the transform domain.
  • Use Matlab for elementary signal processing tasks.

General competance:

  • Upon course completion, the student have established a basic understanding of fundamental concepts in signal and systems theory.
Basic consepts for continous time and discrete time signalse (i.e. linearity, time invariances, causality and stability), convolution, difference and differential equations, impulse responses, transforms (Fourier, Z-, and Laplace transforms), frequency domain analysis, transfer functions.
Required prerequisite knowledge
Recommended prerequisites
MAT200 Mathematical Methods 2
Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours A - F Compilation of mathematical formulae (Rottmann)Valid calculator

Coursework requirements
There are  at least 6 assignments, 4 of which must be successfully completed within the specified deadlines.
Course teacher(s)
Course coordinator: John Håkon Husøy
Head of Department: Tom Ryen
Method of work
5-6 hours of lectures, 2 hours of excercises (including Matlab simulations).
Open for
Control Engineering and Circuit Design - Bachelor's Degree Programme Admission to Single Courses at the Faculty of Science and Technology Industrial economics - Master's Degree Programme - 5 year Industrial Automation and Signal Processing - Master's Degree Programme - 5 year Robot Technology and Signal Processing - Master's Degree Programme
Course assessment
Form and/or discussion
Overlapping courses
Course Reduction (SP)
Signals and systems (BIE250) 10
The syllabus can be found in Leganto