Periodontology II (5 cr)

Objective

- organize, implement and evaluate demanding periodontal oral health care simulated in skills lab
-participate in multidisciplinary periodontal team by observing clinical patient care

Content

Practical training in simulation environment
Advanced periodontological oral health care in simulation environment
Teamwork in periodontological care

Location and time

Can be seen in the schedule

Materials

Material in Moodle learning environment
Material given by lecturers
Current material and researchreviews
Phantom equipment in Skills Lab

Teaching methods

Interactive lecture
Learning assigments
Laboratory instruction
Simulation learning
Small group instruction
Individual tutorials
E-learning
Co-operative learning
Guided assignments
Written and oral exams

Employer connections

Hammasväline, Dentsply Sirona, EMS, Unident, Ergomedi, Futudent, Straumann

Exam schedules

Will be announced at the beginning of the project, can be found in the schedule.
In simulation environment written exam and skills demonstration in the teaching clinic

International connections

Cooperation with international exchange students

Completion alternatives

N/A

Student workload

5 cu/135 hours

Content scheduling

Säännölliset läsnäolovelvoitteiset taitopajaharjoittelukerrat, joiden välissä itsenäistä teoriaopiskelua.

Further information

The student confirms his/her participation in the course by being present at the beginning of the first lesson or by agreeing on it with the teacher in other ways.

Earlier clinical studies in teaching clinic and in skills lab must be accomplished.
Approved course requires active presence and attendance to all parts of the course.
Compulsory attendance in all lessons and practice. Students responsibility is to take care of her/his own accomplishments and replace the absence from training.
Speeding up studies requires grade Good 3 from previous studies.
Assignments and exams in the simulation environment must be passed before student can continue clinical training.
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.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Assessment criteria: 0–5
Assessment framework, see the appendix.
Assessment criteria for advanced level are applied.

Assessment methods and criteria

Active attendance
Continuous assessment
Written online exam
Skills demonstrations