EPN-V2

FYB3900 Bachelor’s Thesis Course description

Course name in Norwegian
Bacheloroppgave
Weight
15.0 ECTS
Year of study
2022/2023
Course history
Curriculum
FALL 2022
Schedule
  • Introduction

    Physiotherapists work within a complex health and welfare system, and society expects physiotherapists to contribute to service innovation and systematic and quality-enhancing processes to raise the quality of interprofessional work and/or physiotherapy practice. Through the work on the bachelor’s thesis, the student will gain experience of studying a delimited area in depth, and will have the possibility to develop skills and knowledge required to be able to cooperate in groups that aim to contribute to developing the discipline of physiotherapy. In addition to the ability to cooperate in a specialist community and participate in academic discussions, discipline development processes require critical thinking, structured work and knowledge about how to proceed to implement new knowledge in practice. Detailed guidelines for the bachelor’s thesis will be published on the university’s learning platform.

  • Required preliminary courses

    Knowledge of linear dynamic systems is important in many applications, including electronics, signal processing, communications, biomedical engineering, robotics and control systems. The course deals with analysis of linear dynamic systems in the time domain and the frequency domain. The course also is an introduction to modeling of systems as differential equations and solving them by application of the Laplace transform. The systems are analyzed by their transfer function and frequency response. The frequency response also reveals the filter characteristics of the system and how it affects the frequency content of a signal.

  • Learning outcomes

    No requirements over and above the admission requirements.

  • Teaching and learning methods

    After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

    Knowledge

    The student has knowledge of:

    • Modelling first and second order physical systems (e.g., mechanical, electrical, thermal, and fluid systems) as ordinary differential equations
    • Unilateral Laplace transformation and its main properties (including calculations of Laplace transformation of functions such as impulse, step, ramp, exponential, sinusoidal)
    • Inverse Laplace transform using partial fraction expansion to find the systems time response
    • Stability analysis of transfer functions
    • Frequency response analysis of stable systems
    • The Fourier transform and its main properties
    • Concepts of basic filter design (such as low-pass, band-pass, and high-pass) and how a signals changes after filtering (both time domain and frequency domain aspects)
    • Properties of first order and second order systems (such as time constant, rise-time, overshoot, settling time)

    Skills

    The student is capable of:

    • Setting up mathematical models of simple physical systems
    • Solving ordinary differential equations with the use of the unilateral Laplace transform
    • Finding the time response of linear time invariant systems (such as impulse response and step response)
    • Finding the frequency content of a signal by using the Fourier transform
    • Designing filters and finding their frequency response
    • Identifying first-order and second-order systems based on their response in time and frequency domain
    • Using MatLab to solve relevant problems

    General competence

    The student is capable of:

    • Setting up a mathematical model of a physical system in form of differential equations and solving them by application of the Laplace transform
    • Analyse linear systems both in the frequency and time domain
    • Design filters to limit the frequency content of a signal
  • Course requirements

    The teaching consists of lectures combined with exercises, laboratory work and a small project.

  • Assessment

    None

  • Permitted exam materials and equipment

    Individual written exam, 3 hours

    The exam result 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.

  • Grading scale

    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.

  • Examiners

    Grade scale A-F.

  • Overlapping courses

    One internal examiner. The course may be selected for grading by external examiners.

    For the continuation exam (resit), an oral exam can be used, with two internal examiners.