ACIT4710 Digital Signal and Image Processing Course description

Passing a professional examination is one of the conditions for obtaining authorization as a nurse. The Directorate of Health has on 05.06.2019 decided that the students who complete the education at OsloMet fulfill this additional requirement through SKOMPD3000.

The program contains all additional requirements that are required for authorization as a nurse. https://lovdata.no/dokument/SF/forskrift/2016-12-19-1732

Students must nonetheless apply to the Directorate of Health for authorisation as a general nurse after completing the programme.

SKOMPD3000 and SKOMP3000 overlap 100 %.

No formal requirements over and above the admission requirements.

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.

Lectures.

Practical training

Computer exercises.

None.

Test - Practical Skills in Nursing, consisting of:

• Multiple Choice 2 hours. 40 questions 60 % right for passing
• Practical test (modified OSCE test), related to surgical, medical and geriatric patient care, as well as emergency medicine. Implemented station-based.

If one part of the test fails, both parts must be retaken.

The exam will be conducted late in the spring semester. Students have three attempts at the exam, in line with other exams.

None.

Pass/Fail.

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.