Programplaner og emneplaner - Student
MAIKT-EDU ICT-supported Development and Education in the South Course description
- Course name in Norwegian
- IKT-støttet utvikling og utdanning i det globale Sør
- Study programme
-
Master Programme in Digital Learning Design
- Weight
- 15.0 ECTS
- Year of study
- 2022/2023
- Programme description
- Course history
-
Introduction
The course describe the analysis and processing of signals in the frequency domain and analysis of systems for signal processing. Images are two-dimensional signals. The course also include the acquisition of image data, reconstruction of images and basic image processing of images for medical diagnostics.
Required preliminary courses
No prerequisites required.
Learning outcomes
No requirements over and above the admission requirements.
Content
The following are sub themes of the course:
- Digital divide literacies and e-citizenship, ICTs and infrastructure
- Distance education and mobile learning
- Aspects of diversities in gender, culture and epistemologies
Teaching and learning methods
After finishing this course the student should have the following outcome:
Knowledge:
Understand the connection between the impulse response and frequency response
Understand that images are 2D signals and can be analysed accordingly
Understand the connection between resolution, impulse response, point spread function and frequency response.
Know how to describe wave propagation, reflection, refraction and attenuation of waves
Understand how an ultrasound image is formed and how the pulses are transmitted and recorded.
Understand how x-rays are generated and how an X-ray image is formed.
Understand how tomographic data are recorded and how CT-images are reconstructed.
Understand the physical principals of magnetic resonance and how images are formed.
Skills
Can describe and analyse signals with the use of the Fourier transform.
Be able to frequency analyse signals and design optimal processing
Can digitize signals by sampling and AD-conversion.
Can explain the difference between diagnostic and technical image quality.
Understand how images are reconstructed fro measured data.
Can use an ultrasound scanner and chose optimal settings.
General competence:
Be able to process a measured signal to optimize information content.
Be able to evaluate technical quality of an image in order to optimize diagnostic quality
Course requirements
See general rules for the master program. Students must have the following course work requirements approved before examination:
- Presenting at least three of the papers on the literature list for the other students (10-15 minutes)
- Participating in the discussions in the seminar group (80 % participation). Participation is necessary since the learning is organized as a seminar.
- Writing an abstract for a paper for a relevant conference, national or international, based on given guidelines (appr. 200 words)
Assessment
Lectures and exercises including use of MATLAB
Permitted exam materials and equipment
Examination support material is permitted.
Grading scale
Mandatory deliveries:
4 exercises
1 ultrasound lab
1 diagnostic group work
Each task should take about 5 hours of work
Examiners
The paper will be assessed by two internal examiners. An external programme supervisor is used according to OsloMet's guidelines to appointing and use of examiners.