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Blekinge Institute of Technology
Department of Mathematics and Natural Science

Revision: 2
Reg.no:


Course syllabus

Signals and Systems, basic course

Signals and Systems, basic course

6 credits (6 högskolepoäng)

Course code: ET1557
Main field of study: Electrical Engineering
Disciplinary domain: Technology
Education level: First-cycle
Specialization: G1F - First cycle, has less than 60 credits in first-cycle course/s as entry requirements

Language of instruction: English
Applies from: 2025-02-18
Approved: 2025-02-18

1. Descision

This course is established by Dean 2023-06-01. The course syllabus is approved by Head of Department of Mathematics and Natural Science 2025-02-18 and applies from 2025-02-18.

2. Entry requirements

Admission to the course requires 5 completed credits in Theory of Transforms and taken course in Control theory, 5 credits.

3. Objective and content

3.1 Objective

The aim of the course is for the student to obtain the theoretical foundations of modern digital signal processing, for both deterministic and stochastic signals, and to provide knowledge and insight into applied signal processing problems. The student should be well prepared for both signal processing in industry and for further studies in the field.

3.2 Content

The course includes the following:

· Sampling
· Analysis of deterministic signals and stochastic processes
· Properties of discrete time systems, such as input and output signal connections, convolution
· Spectrum estimation, energy and power
· Filter Design FIR and IIR
· Signal and system models
· AR and ARMA model estimation

4. Learning outcomes

The following learning outcomes are examined in the course:

4.1. Knowledge and understanding

After completing the course, the student should be able to:

  • have knowledge and understanding of basic signal processing definitions.
  • have knowledge and understanding of basic properties of linear systems.
  • have basic knowledge and understanding of discrete Fourier transforms.
  • have basic knowledge and understanding of FIR and IIR filters.
  • have basic knowledge and understanding of AR and ARMA models.

Skills and abilities

After completing the course, the student should be able to:

  • use basic signal processing definitions.
  • use different properties of linear systems.
  • use discrete Fourier transform to analyze and graphically visualize the frequency properties of discrete signals.
  • apply the sampling process to convert between time-continuous and time-discrete signals.
  • implement digital FIR and IIR filters with given properties.
  • choose the optimal filter technology.
  • verify and validate signal and system models using measured data and simulations.

4.2. Judgement and approach

After completing the course, the student should be able to:

  • have an approach to basic signal processing.

5. Learning activities

The course is conducted through lectures, exercises, assignments and laboratory work. A web-based course platform is used to make course material available to the students.

6. Assessment and grading

Modes of examinations of the course

Code Module Credit Grade
2510 On-campus Examination[1] 3.5 credits AF
2520 Laboratory Session 1.5 credits GU
2530 Written assignment 1 credits GU

[1] Determines the final grade for the course, which will only be issued when all components have been approved.

The course will be graded A Excellent, B Very good, C Good, D Satisfactory, E Sufficient, FX Failed result, a little more work required, F Fail.

The examiner may carry out oral follow-up of written examinations.

The information before the start of the course states the assessment criteria and make explicit in which modes of examination that the learning outcomes are assessed.

An examiner can, after consulting the Disability Advisor at BTH, decide on a customized examination form for a student with a long-term disability to be provided with an examination equivalent to one given to a student who is not disabled.

7. Course evaluation

The course evaluation should be carried out in line with BTH:s course evaluation template and process.

8. Restrictions regarding degree

The course can form part of a degree but not together with another course the content of which completely or partly corresponds with the contents of this course.

9. Course literature and other materials of instruction

John Proakis, Dimitris Manolakis Digital Signal Processing 4th edition. ISBN: 9781292025735

This is not a legal document. If you would like a copy of the legal decision regarding this course plan, contact the registrar at Blekinge Institute of Technology.