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 2024-2025

Facts

Course code

ELE300

Version

1

Credits (ECTS)

10

Semester tution start

Spring

Number of semesters

1

Exam semester

Spring

Language of instruction

Norwegian

Offered by
Time table

View course schedule

Content

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.

Learning outcome

Knowledge:

  • 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.

Skills:

  • 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.

Required prerequisite knowledge

None

Recommended prerequisites

MAT200 Mathematical Methods 2

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades Compilation of mathematical formulae (Rottmann), Valid calculator,

Written exam with pen and paper.

Coursework requirements

Exercises

There are  at least 9 assignments, 6 of which must be successfully completed within the specified deadlines.

Course teacher(s)

Head of Department:

Tom Ryen

Course coordinator:

Sven Ole Aase

Method of work

5-6 hours of lectures, 2 hours of excercises (including Matlab simulations).

Overlapping courses

Course Reduction (SP)
Signals and systems (BIE250_1) 10

Open for

Electrical Engineering - Bachelor's Degree Programme
Admission to Single Courses at the Faculty of Science and Technology
Industrial Economics - Master of Science Degree Programme, Five Year

Course assessment

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester. In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

Search for literature in Leganto