EPN-V2

ELI2200 Signal processing Course description

Course name in Norwegian
Signalbehandling
Weight
10.0 ECTS
Year of study
2025/2026
Course history
Curriculum
SPRING 2026
Schedule
  • Introduction

    The course describe the analysis and processing of signals in the frequency domain and analysis of systems for signal processing.

  • Recommended preliminary courses

    MEK1000 Mathematics 1000, ELPE1300 Electric circuits, ELTS2100 Electronics.

  • Required preliminary courses

    No requirements over and above the admission requirements.

  • Learning outcomes

    After completing this course, the student has the following learning outcomes, defined as knowledge, skills and general competence:

    Knowledge

    The student

    • understands the relationship between impulse response and frequency response for electrical systems
    • has good knowledge of frequency selective circuits
    • has knowledge of active filter circuits
    • knowledge of transforms such as Fourier and Laplace
    • knowledge of Fourier series

    Skills

    The student

    • can calculate transients in circuits using the Laplace transform
    • can use and design the various types of filters based on RL, RC and RLC circuits.
    • can use active filter circuits with operational amplifiers
    • can describe and analyze signals with the Fourier transform
    • can calculate Fourier coefficients for a periodic waveform (exponential form)
    • can analyze a circuit using Fourier coefficients and superposition

    General competence

    The student

    • can analyze a problem and specify a solution methodology
    • can justify their own choices and priorities within signal processing
  • Content

    The course includes the following topics:

    • Signal processing
    • Impulse and frequency response
    • Fourier and Laplace transform
    • Frequency selective circuits such as passive and active filters
    • Fourier series.
  • Teaching and learning methods

    Lectures and exercises including use of MATLAB or Python/Jupyter

  • Course requirements

    The following work requirements are mandatory and must be approved in order to appear for the exam:

    • 5 out of 10 exercises are compulsory.
    • The exercises are carried out in groups of 4 students
    • The groups are put together by the lecturer
    • Group submissions are made in the form of lab protocols
  • Assessment

    Individual written exam under supervision 3 hours.

    The result of the exam can be appealed.

    In the event of a resit or rescheduled exam, an oral examination may be used instead. In case an oral exam is used, the examination result cannot be appealed.

  • Permitted exam materials and equipment

    Table of formulas - (title and isbn will be available at start of the semester)

    A handheld calculator that cannot be used for wireless communication or to perform symbolic calculations. If the calculator’s internal memory can store data, the memory must be deleted before the exam. Random checks may be carried out.

  • Grading scale

    Graded scale A-F

  • Examiners

    One internal sensor. External sensor is used regularly.

    In case of a continuation exam, the exam can be oral with two internal sensors.

  • Course contact person

    Ola Jetlund

  • Overlapping courses

    10 ECTS overlap with ELI2600

    5 ECTS overlap med ELTS2600

    5 ECTS overlap med ELI3520