•   Frequency Analysis ELA22GY15-3002 06.01.2025-09.03.2025  3 credits  (ELA23D-V, ...) +-
    Competence objectives of the study unit
    The student:
    - understands how a signal is sampled and represented (in the time and frequency domain)
    - interprets and is able to use the information in a frequency spectrum
    - is able to perform frequency analysis of a given signal
    - can use suitable software to do frequency analysis
    Prerequisites
    No prerequisites
    Content of the study unit
    Different types of signals
    Periodic functions and signals
    Fourier series and representation of periodic signals
    Sampling and the sampling theorem
    Fourier transform and FFT algorithm
    Frequency analysis and interpretation of FFT spectrum
    Signal analysis in matlab
    Assessment criteria
    Failed (0)
    Less than 10 points in the exam.
    Assessment criteria – satisfactory (1-2)
    Knows the characteristics of the frequency spectrum for a periodic signal
    Knows the characteristics of the frequency spectrum for an aperiodic signal
    Can interpret the results of a frequency analysis
    Assessment criteria – good (3-4)
    Can use Fourier Series conversion tables to determine the frequency spectrum of some typical signals.
    Understands, on a fundamental level, the relationship between the rate of change of the signal and the frequency spectrum of the signal.
    Can use a frequency analyzer.
    Assessment criteria – excellent (5)
    Master the integral technique to determine the fourier coefficients for periodic signals.
    Master the transform technique to determine the frequency spectra of aperiodic signals.
    Can use a frequency analyzer and is also familiar with the use of Matlab as a tool for frequency analysis.
    Name of lecturer(s)

    Ronnie Sundsten

    Learning material

    Lecture notes
    Web-based material

    Learning methods

    Lectures
    Exercises
    Self studies

    Objects, timing and methods of assessment

    Examination is based on an individual exam and assignments.
    A minimum of points in the exam is required to pass the course.

    Teaching language

    Swedish

    Timing

    06.01.2025 - 09.03.2025

    Enrollment date range

    01.12.2024 - 12.01.2025

    Group(s)
    • ELA23D-V
    • UIT23D-V
    Responsible unit

    Faculty of Technology and Seafaring

    Small group(s)
    • ELA23-A (Size: 30.
    • ELA23-K (Size: 30.
    • ELA23-E (Size: 30.
    • UIT23 (Size: 30.
    Teachers and responsibilities

    Roger Mäntylä

    Degree Programme(s)

    Degree Programme in Electrical Engineering and Automation

    Campus

    Vasa, Wolffskavägen 33

    RDI share

    0.00 credits

    Share of online studies

    0.00 credits

    Assessment scale

    H-5

    Timing and attendance

    7.1.2025, W33

    Student's schedule and workload

    Totally 81 hours, of which 36 hours as classroom education.

    Assessment criteria
    Failed (0)

    Less than 10 points in the exam.

    Assessment criteria – satisfactory (1-2)

    At least 10 points in the exam.

    Assessment criteria – good (3-4)

    At least 16 points in the exam.

    Assessment criteria – excellent (5)

    At least 22 points in the exam.