Expertise in radiation safety (5 ECTS)

Learning outcomes

Learning targets
The students
*update their information on the regulations regarding the use of medical radiation
*expand and deepen their expertise in another area of radiation safety
by carrying out a working life oriented development project

Content

Contents
Updating of key legislation governing the use of medical radiation
Project assignment

Prerequisites

Prerequisite studies
Safe usage of medical radiation
Clinical practice in plain imaging examinations
Research and development work methods

Teaching methods

Tuition in Finnish (Mandatory)
Interactive lectures (Mandatory)
Tutorials (Mandatory)
Seminar (Mandatory)

Location and time

Autumn 2025

Learning materials and recommended literature

Material on Moodle

Alternative completion methods of implementation

n/a

Internship and working life connections

Learning assignment based on interests of the working life.

Exam dates and retake possibilities

Radiation Law Exam 3 October 2025
1st retake exam 6.10 at 9-10
2nd retake exam 13.10 at 9-10

International connections

N/A

Student workload

5 credits = 135 hours students works

Content scheduling

Radiation Safety seminar& orientation (Mandatory)
Students must confirm their attendance for a course implementation by being present when tuition begins or in another manner agreed with the lecturer.. Students who are unable to attend the first teaching session due to illness may also confirm their attendance by informing the lecturer of this in advance.

Further information for students

Expert lectures:
attendance is compulsory. The lectures are held twice a year. Students must register for the next semester if they are unable to attend an expert lecture.

Group work:
Each group assignment will include a co-assessment of the group work and a self-assessment by each student. If the student does not participate in the group work (planning, implementation, evaluation), the group work is failed. If the group work is failed, the course is not assessed. In this case, the student must register for the next semester.


Instructions on the use of artificial intelligence during the course are given separately. Students should familiarise themselves with Metropolia's AI guidelines and follow them in their study attainments.

Assessment methods and criteria

Continuous assessment
Peer evaluation
Project
Closed book exam

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Assessment criteria
0–5
For evaluation criteria, see the attachment.
Assessment criteria for expert level are applied.