Siirry suoraan sisältöön

Tietoturva ja tietosuoja (5 op)

Toteutuksen tunnus: 5051252-3005

Toteutuksen perustiedot


Ilmoittautumisaika

01.06.2024 - 09.09.2024

Ajoitus

02.09.2024 - 15.12.2024

Opintopistemäärä

5 op

Toteutustapa

Lähiopetus

Yksikkö

Tekniikka ja liiketoiminta

Toimipiste

Kupittaan kampus

Opetuskielet

  • Englanti

Paikat

0 - 35

Koulutus

  • Tieto- ja viestintätekniikan koulutus

Opettaja

  • Mika Koivunen

Vastuuopettaja

Mika Koivunen

Ryhmät

  • PTIVIS22H
    Health Technology
  • 05.09.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 09.09.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 19.09.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 26.09.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 03.10.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 10.10.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 24.10.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 30.10.2024 15:00 - 17:00, Guest Lecture (Sami Laine/Tietoevry), Information Security and Data Protection 5051252-3005
  • 07.11.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005
  • 14.11.2024 08:00 - 10:00, Laboratory teaching, Information Security and Data Protection 5051252-3005

Tavoitteet

Opintojakson suoritettuaan opiskelija:
- Tuntee sosiaali- ja terveydenhuollon tietoturvan ja tietosuojan perusteet ja osaa soveltaa tietojaan terveysteknologian asiantuntijan työssä
- Osaa ottaa huomioon sosiaali- ja terveydenhuollon tietoturvan ja tietosuojan vaatimukset tuotekehityksessä

Sisältö

- Sosiaali- ja terveydenhuollon tietoturvan ja tietosuojan lainsäädäntö
- Sosiaali- ja terveydenhuollon rekisterit
- Tietoturvan parhaat käytänteet

Oppimateriaalit

All course material and assignments will be in ItsLearning platform.

Opetusmenetelmät

Lectures, weekly assignments, laboratory assignment.

Pedagogiset toimintatavat ja kestävä kehitys

Information Security Risk Management is a way to cover the Concept of Economical and Social Sustainability.

Opiskelijan ajankäyttö ja kuormitus

Lectures 10 x 2h = 20h
On-site Laboratory Sessions 2 x 4h = 8h
Weekly Assignments 10 x 8h = 80h
Laboratory Assignment 27h

Total 135h

Sisällön jaksotus

Definition of Data Protection
GDPR
Data Protection in Health Care
Data Protection in the Development of Health Technology
Information Security Basics
Information Security in the Development of Health Technology
Information Security in Software Development
Data Protection Impact Assesment
Information Security Testing of a Consumer Product

Viestintäkanava ja lisätietoja

All administrative information will be in Peppi platform.

All infos will be in Itslearning platform.

Arviointiasteikko

H-5

Arviointimenetelmät ja arvioinnin perusteet

The evaluation is based on weekly assignments, laboratory assignment and attendance at lectures.

Hylätty (0)

Under 50% of the weekly assignments and the laboratory assignment returned as accepted, or under 50% lecture attendance.

Arviointikriteerit, tyydyttävä (1-2)

At least 50% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

1: At least 50% of the weekly assignments and the laboratory assignment points.

2: At least 60% of the weekly assignments and the laboratory assignment points. attendance.

Arviointikriteerit, hyvä (3-4)

At least 70% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

3: At least 70% of the weekly assignments and the laboratory assignment points.

4: At least 80% of the weekly assignments and the laboratory assignment points.

Arviointikriteerit, kiitettävä (5)

At least 90% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

At least 90% of the weekly assignments and the laboratory assignment points.