MARAD4200 Conventional Radiography Course description

The course provides a systematic introduction to the fundamentals of X-ray images. The course is divided into three main parts. The first part focuses on advance anatomy and pathology in light of diagnostic imaging. The second part gives students an in-depth introduction to diagnostic imaging and projection theory. The third part deals with the technology of conventional X-ray equipment from the point of view of post-processing, optimisation and exposure technique.

En intern sensor. Ekstern sensor brukes jevnlig.

Emnet gir opplæring i grunnleggende programmering, med Python som programmeringsspråk. Emnet inkluderer en introduksjon til programmering i regneark.

Undervisningsspråk: Norsk

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

Knowledge

The student

• can account for and assess different theories and procedures in conventional radiography
• can critically assess the representation of relevant anatomy and pathology in the imaging material
• can account for relevant additional projections for special examinations and consider whether these are relevant
• can critically assess quality and patient safety in the health service
• can critically assess procedures adapted to different groups of patients, for example in geriatrics and paediatrics
• can assess causal connections between post-processing algorithms, radiation doses and image quality

Skills

The student

• can assess image criteria and image quality independently
• can apply post-processing algorithms independently
• can apply methods for quality development work, including patient safety
• can assess different methods of diagnosis in the field of medical diagnostic imaging
• can evaluate their own practice

General competence

The student

• can convey and discuss issues in the field with colleagues, for example radiographers, radiologists, physicists, clinicians and others with whom it is natural to cooperate
• can make ethically and professionally justified assessments and decisions in professional practice
• can formulate, analyse and assess practical and subject-related issues in an independent, systematic and critical manner and on the basis of science
• can identify and assess their own need for competence development and specialisation
• can serve as a resource and driver in development work in the workplace
• can lead optimisation projects and make professional decisions based on systematically obtained research and experience-based knowledge
• can work to safeguard the universal right to equitable health services by focusing on quality and the development of procedures
• can contribute to phasing out and implementing methods, technology and sustainable innovation intended to improve the quality of services

Etter å ha gjennomført dette emnet har studenten følgende læringsutbytte, definert som kunnskap, ferdigheter og generell kompetanse:

Kunnskap

Studenten:

• forstår problemløsning ved hjelp av programmering
• kjenner til innebygd funksjonalitet i Python
• har grunnleggende kjennskap til programmering med bruk av datastrukturer, funksjoner, objekter og vektoriserte beregninger
• har grunnleggende kunnskaper om programmering i regneark (Microsoft Excel eller lignende)

Ferdigheter

Studenten kan:

• skrive programmer for å løse beregningsorienterte problemstillinger.
• finne og rette feil i egne programmer samt være i stand til å sette seg inn i andres kildekode.

Generell kompetanse

Studenten kan:

• bruke programmering til å løse relevante beregningsorienterte problemer innen sitt fagfelt.
• tilegne seg og ta i bruk ny programmeringskunnskap.
• forstå dokumentasjon om grunnleggende programmering og kommunisere med andre programmerere.

Forelesninger, øvinger, selvstudium.

After completion the course, the students should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student can:

• describe risk factors for musculoskeletal injuries, disorders and conditions, rheumatic diseases, cancer, and mental health challenges
• describe rehabilitation interventions and prognosis for musculoskeletal injuries, disorders and conditions, rheumatic diseases, cancer, and mental health challenges
• explain different understandings of pain and pain mechanisms

Skills

The student can:

• justify the choice of examination methods and standardized assessment tools for users and patients with musculoskeletal injuries, disorders and conditions, rheumatic diseases, cancer, and mental health challenges
• propose and justify rehabilitation interventions for users and patients with musculoskeletal injuries, disorders and conditions, rheumatic diseases, cancer, and mental health challenges
• apply knowledge of coping strategies based on patient case studies
• apply methods for evidence-based practice based on patient case studies

General competence

The student can:

• discuss professional, ethical, and societal issues related to musculoskeletal injuries, disorders and conditions, rheumatic diseases, cancer, and mental health challenges
• reflect on health challenges that may arise from chronic conditions or serious illness, and the potential implications for the role of the therapist

Individuell skriftlig skoleeksamen under tilsyn med varighet 3 timer.

Eksamensresultat kan påklages

Alle trykte og skrevne hjelpemidler. Hvis en oppgave på eksamen krever kalkulator, vil en kalkulator være tilgjengelig i det skjermbaserte eksamensmiljøet.

Gradert skala A-F.

• Programmeringsmiljøer: Lokalt: Spyder og Jupyter Notebook. Nettbasert: Anaconda Cloud/JupyuterLab.
• Variabler og datatyper (tall, tekst, logiske variable, lister, arrayer, tupler)
• Plotting av data
• Programmering av egne funksjoner
• Objekt-orientert programmering (OOP)
• Testing og feilsøking av egen kode
• Bruk av KI-verktøy i programmering
• Betinget programløp med if-else-betingelser
• Repetert programløp med for-løkker og while-løkker
• Lesing og skriving av fildata (numeriske data i txt-filer og Excel-filer)
• Programmering i regneark (Microsoft Excel eller lignende)
• Relevante anvendelser av programmering

Grade scale A-F.