EPN-V2

VERB1500 Psychopathology, Pathology and Treatment Course description

Course name in Norwegian
Psykopatologi, sykdomslære og behandling
Weight
15.0 ECTS
Year of study
2023/2024
Course history
Curriculum
SPRING 2024
Schedule
  • Introduction

    Ingen info

  • Recommended preliminary courses

    Completed VERB1300 and VERB1400

  • Required preliminary courses

    Etter fullført emne har studenten følgende læringsutbytte definert som kunnskap, ferdigheter og generell kompetanse:

    Kunnskaper

    Studenten har

    • kunnskap om hva som fremmer kommunikasjon og et trygt og utfordrende arbeids- og læringsmiljø
    • kunnskap om sentrale dokumenter knyttet til opplæring
    • kunnskap om yrkesdidaktikk og voksnes læring

    Ferdigheter

    Studenten kan

    • utvikle et arbeids- og læringsmiljø som er trygt og utfordrende
    • planlegge, gjennomføre og vurdere opplæring på arbeidsplassen
    • anvende pedagogiske/didaktiske prinsipper i opplæring på arbeidsplassen

    Generell kompetanse

    Studenten kan

    • formidle fagstoff som er relevant for yrket
    • gjennom faglig innsikt, engasjement og formidlingsevne stimulere til læring på arbeidsplassen
    • bidra til kompetanseutvikling på arbeidsplassen
  • Learning outcomes

    Language of instruction: Norwegian/English

    Computed tomography (CT) provides great opportunities for accurate and detailed diagnosis and has increased in scope in recent years. The specialisation course in CT focuses on protocol development, contemporary trends in parameter selection, post-processing, and image analysis. The course has been developed with a focus on new technology and in-depth study of innovative radiographic imaging methods.

  • Teaching and learning methods

    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

    • reflect on how digital technology impacts society and individuals
    • explain the significance of technological innovation and development for equitable healthcare services and sustainable development
    • explain the general principles for CT optimisation with respect to image quality and radiation dose
    • explain the clinical application of the different protocols
    • explain optimisation of contrast agent examinations using new technology
    • explain principles of user-centered design/approaches to optimize the use of new technology in radiology
    • explain advanced image processing methods in CT examinations
    • assess and explain advanced CT post-processing techniques to improve image quality and diagnostic information

    Skills

    • The student canidentify and discuss key sustainability challenges related to digital health technologies
    • provide examples of local and global technological differences, both in general and within their own field

    General competence

    The student can

    • critically evaluate digital information flow and understand the algorithms that govern it
    • discuss the role of CT in diagnostic imaging today and in the future
    • assess the role of innovation within CT
  • Course requirements

    In order to be permitted to sit the exam, the following must have been approved:

    • a minimum 80 % attendance at scheduled seminars and skills training
  • Assessment

    Individual written exam under supervision, up to 3 hours.

  • Permitted exam materials and equipment

    7 credits overlap with the course BIO2200 Medical Microbiology and Immunological Diagnostics

  • Grading scale

    All answers are assessed by one examiner.

    The assessment arrangement is regularly evaluated. An external program examiner/supervisory examiner participates in the evaluation and provides advice for further quality development of the study program.

  • Examiners

    5 credits overlap with RAB3100 Advanced CT, and 5 credits overlap with RAB1070 Technology and Society.

  • Overlapping courses

    10 credits overlap with VERN2320/VERND2320/VERNL2320

    5 credits overlap with VERN3100(2)/VERND3100(2)/VERNL3100(2) mental health