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. Please note that changes may occur.
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
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 RyenCourse coordinator:
Sven Ole AaseMethod 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
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.