EPN-V2

SKOMPD3000 Practical Examination in Nursing Course description

Course name in Norwegian
Prøve - praktiske ferdigheter sykepleie
Study programme
Supplementary education for nurses educated outside the EU/EEC - decentralised
Weight
0.0 ECTS
Year of study
2021/2022
Course history

Introduction

No formal requirements over and above the admission requirements.

Required preliminary courses

On completion of this course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The course will give the students in depth knowledge on the following topics

  • Sampling, digitalization and reconstruction.
  • How to obtain the signal spectrum of digital and analog signals
  • How to obtain the frequency response of digital and analogue systems
  • Filtering
  • Detection techniques, correlation and deconvolution
  • Reconstruction of images from measured data by inverse methods

Skills

The student will know how to:

  • Describe digital signals and systems mathematically in the time domain, the frequency domain and the Z-domain
  • Describe digital images mathematically in real space and K-space
  • Describe linear time invariant systems using difference equations, impulse responses, point spread functions and transfer functions
  • Analyze time discrete systems in the frequency domain and discrete images in K- space
  • Use analog filters and the digitized versions of analog filters: FIR and IIR
  • Apply post processing of images for filtering
  • Apply inverse methods for image reconstruction from measured data

General competence

The student will have general competence on:

  • Spectrums, impulse responses, point spread functions, frequency responses, K- space, correlation, convolution and modulation
  • Fourier-series (FS), Fourier transform (FT).
  • Sampling, reconstruction and aliasing
  • Implementation of DSP-filters and inverse methods on a computer.

Learning outcomes

Lectures.

Practical training

Computer exercises.

Teaching and learning methods

Students will first be given an introduction, then have some time to prepare for the practical exam. The exam is normally conducted in the course of one day.

Course requirements

Exam autumn 2020 due to Covid-19:

Individual digital home exam, 3 hours.

The exam grade can be appealed.

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

[Exam earlier:]

Individual written exam, 3 hours.

The exam grade can be appealed.

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

Assessment

Aids autumn 2020:

All aids allowed, except communication with others

[Aids earlier:]

Calculator that cannot be used to communicate with others.

Permitted exam materials and equipment

For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

Grading scale

One internal examiners. External sensor is used periodically. If oral, two internal examiners.

Examiners

At least four internal and one external examiner.

The examiners award points based on predefined checklists with criteria based on the learning outcomes in the course descriptions.

Overlapping courses

SKOMPD3000 and SKOMP3000 overlap 100 %.